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ORCIDYing Ding 0001
Person information
- affiliation: University of Texas at Austin, TX, USA
- affiliation (former): Indiana University, School of Library and Information Science, Bloomington, IN, USA
- affiliation (PhD 2001): Nanyang Technological University, Division of Information Studies, Singapore
Other persons with the same name
- Ying Ding — disambiguation page
- Ying Ding 0002 — University of Tennessee, Knoxville, TN, USA
- Ying Ding 0003
![[0000-0003-1352-1000]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1352-1000")
— University of Pittsburgh, Department of Biostatistics, PA, USA (and 2 more) - Ying Ding 0004 — Renmin University of China, Renmin Business School, Beijing, China
- Ying Ding 0005 — Singapore Management University, Singapore
- Ying Ding 0006 — Dalian University of Technology, DUT-RU International School of Information Science & Engineering, China
- Ying Ding 0007 — South China Normal University, Guangdong, China (and 1 more)
- Ying Ding 0008 — Central South University, School of Geosciences and Info-Physics, Changsha, China
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2020 – today
- 2025
[j132]Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding:
Gender differences in dropout rate: From field, career status, and generation perspectives. J. Informetrics 19(1): 101615 (2025)- [c106]Kyle Cox, Jiawei Xu, Yikun Han, Rong Xu, Tianhao Li, Chi-Yang Hsu, Tianlong Chen, Walter Gerych, Ying Ding:
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models. AAAI 2025: 23696-23703 - [c105]Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu:
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. NAACL (Long Papers) 2025: 5558-5588 - [i85]Runsong Jia, Mengjia Wu, Ying Ding, Jie Lu, Yi Zhang:
HetGCoT-Rec: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Journal Recommendation. CoRR abs/2501.01203 (2025) - [i84]Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding:
Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph. CoRR abs/2501.09897 (2025) - [i83]Jiawei Xu, Ying Ding, Yi Bu:
Position: Open and Closed Large Language Models in Healthcare. CoRR abs/2501.09906 (2025) - [i82]Jiawei Xu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Yue Chen, Ying Ding:
Demo: Interactive Visualization of Semantic Relationships in a Biomedical Project's Talent Knowledge Graph. CoRR abs/2501.09909 (2025) - [i81]Muhammad Zain Raza, Jiawei Xu, Terence Lim, Lily Boddy, Carlos M. Mery, Andrew Well, Ying Ding:
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease. CoRR abs/2502.01620 (2025) - [i80]Jinhao Duan, Xinyu Zhao, Zhuoxuan Zhang, Eunhye Grace Ko, Lily Boddy, Chenan Wang, Tianhao Li, Alexander Rasgon, Junyuan Hong, Min Kyung Lee, Chenxi Yuan, Qi Long, Ying Ding, Tianlong Chen, Kaidi Xu:
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing. CoRR abs/2502.06494 (2025) - [i79]Shrey Pandit, Jiawei Xu, Junyuan Hong, Zhangyang Wang, Tianlong Chen, Kaidi Xu, Ying Ding:
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models. CoRR abs/2502.14302 (2025) - [i78]Huimin Xu, Seungjun Yi, Terence Lim, Jiawei Xu, Andrew Well, Carlos M. Mery, Aidong Zhang, Yuji Zhang, Heng Ji, Keshav Pingali, Yan Leng, Ying Ding:
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews. CoRR abs/2503.20666 (2025) - [i77]Jiawei Xu, Yonggeon Lee, Anthony Elkommos Youssef, Eunjin Yun, Tinglin Huang, Tianjian Guo, Hamidreza Saber, Rex Ying, Ying Ding:
Beyond Feature Importance: Feature Interactions in Predicting Post-Stroke Rigidity with Graph Explainable AI. CoRR abs/2504.08150 (2025) - [i76]Huimin Xu, Houjiang Liu, Yan Leng, Ying Ding:
Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production. CoRR abs/2505.12666 (2025) - 2024
- [j131]Yi Zhang, Chengzhi Zhang, Philipp Mayr, Arho Suominen, Ying Ding:
An editorial of "AI + informetrics": Robust models for large-scale analytics. Inf. Process. Manag. 61(1): 103495 (2024) - [j130]Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding:
The impact of heterogeneous shared leadership in scientific teams. Inf. Process. Manag. 61(1): 103542 (2024) - [j129]Meijun Liu, Zihan Xie, Alex Jie Yang, Chao Yu, Jian Xu, Ying Ding, Yi Bu:
The prominent and heterogeneous gender disparities in scientific novelty: Evidence from biomedical doctoral theses. Inf. Process. Manag. 61(4): 103743 (2024) - [j128]Yunhan Yang, Chenwei Zhang, Huimin Xu, Yi Bu, Meijun Liu, Ying Ding:
Unveiling the loss of exceptional women in science. Inf. Process. Manag. 61(6): 103829 (2024) - [j127]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim:
CancerGPT for few shot drug pair synergy prediction using large pretrained language models. npj Digit. Medicine 7(1) (2024) - [j126]Alex Jie Yang, Ying Ding, Meijun Liu:
Female-led teams produce more innovative ideas yet receive less scientific impact. Quant. Sci. Stud. 5(4): 861-881 (2024) - [j125]Alex Jie Yang, Huimin Xu, Ying Ding, Meijun Liu:
Unveiling the dynamics of team age structure and its impact on scientific innovation. Scientometrics 129(10): 6127-6148 (2024) - [c104]Yashaswi Galhotra, Ying Ding, Li Shen, Huanmei Wu, Tianlong Chen, Kaixiong Zhou:
Towards Instructing Disease-Drug Link Prediction with Social Determinants of Health. BCB 2024: 41:1-41:6 - [c103]Mengjia Wu, Chao Yu, Jian Xu, Ying Ding, Yi Zhang:
Biomedical Association Inference on Pandemic Kowledge Graphs: A Comparative Study. EEKE/AII@iConference 2024: 124-127 - [c102]Alex Jie Yang, Yi Bu, Ying Ding, Meijun Liu:
Quantifying Scientific Novelty of Doctoral Theses with Bio-BERT Model. EEKE/AII@iConference 2024: 145-149 - [c101]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. EMNLP (Findings) 2024: 2187-2205 - [c100]Richard Li Xu, Song Wang, Zewei Wang, Yuhan Zhang, Yunyu Xiao, Jyotishman Pathak, David Hodge, Yan Leng, S. Craig Watkins, Ying Ding, Yifan Peng:
Analyzing Social Factors to Enhance Suicide Prevention Across Population Groups. ICHI 2024: 189-199 - [c99]Jiawei Xu, Qingnan Xie, Meijun Liu, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding:
Decoding Patterns of Data Generation Teams for Clinical and Scientific Success: Insights from the Bridge2AI Talent Knowledge Graph. JCDL 2024: 37:1-37:5 - [c98]Yi Bu, Meijun Liu, Zaida Chinchilla-Rodríguez, Ying Ding:
Causal Inference in Science of Science. JCDL 2024: 109:1-109:2 - [c97]Huimin Xu, Ying Ding:
Flat Structures Foster Minority Inclusion in Diverse Scientific Teams. JCDL 2024: 111:1-111:3 - [c96]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. WWW (Companion Volume) 2024: 537-540 - [c95]Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang:
Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) 2024: 903-906 - [e9]Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding:
Proceedings of Joint Workshop of the 5th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2024) and the 4th AI + Informetrics (AII2024) co-located with the ( iConference2024), Changchun, China and Online, April 23-24, 2024. CEUR Workshop Proceedings 3745, CEUR-WS.org 2024 [contents] - [i75]Mingquan Lin, Tianhao Li, Zhaoyi Sun, Gregory Holste, Ying Ding, Fei Wang, George Shih, Yifan Peng:
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning. CoRR abs/2401.15111 (2024) - [i74]Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding:
Thought Graph: Generating Thought Process for Biological Reasoning. CoRR abs/2403.07144 (2024) - [i73]Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng:
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR abs/2403.19432 (2024) - [i72]Dawei Li, Shu Yang, Zhen Tan, Jae Young Baik, Sukwon Yun, Joseph Lee, Aaron Chacko, Bojian Hou, Duy Duong-Tran, Ying Ding, Huan Liu, Li Shen, Tianlong Chen:
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. CoRR abs/2405.04819 (2024) - [i71]Huimin Xu, Jamie Strassman, Ying Ding, Steven Gray, Maytal Saar-Tsechansky:
How high-status women promote repeated collaboration among women in male-dominated contexts. CoRR abs/2407.03474 (2024) - [i70]Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian:
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR abs/2407.14996 (2024) - [i69]Bernardo Consoli, Xizhi Wu, Song Wang, Xinyu Zhao, Yanshan Wang, Justin F. Rousseau, Tom Hartvigsen, Li Shen, Huanmei Wu, Yifan Peng, Qi Long, Tianlong Chen, Ying Ding:
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH). CoRR abs/2407.17126 (2024) - [i68]Jian Xu, Chao Yu, Jiawei Xu, Ying Ding, Vetle I. Torvik, Jaewoo Kang, Mujeen Sung, Min Song:
PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science. CoRR abs/2410.07969 (2024) - [i67]Awais Naeem, Tianhao Li, Huang-Ru Liao, Jiawei Xu, Aby M. Mathew, Zehao Zhu, Zhen Tan, Ajay Kumar Jaiswal, Raffi A. Salibian, Ziniu Hu, Tianlong Chen, Ying Ding:
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. CoRR abs/2411.17073 (2024) - [i66]Tianqi Shang, Weiqing He, Tianlong Chen, Ying Ding, Huanmei Wu, Kaixiong Zhou, Li Shen:
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare. CoRR abs/2412.00245 (2024) - [i65]Junyi Chen, Mengjia Wu, Qian Liu, Ying Ding, Yi Zhang:
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue. CoRR abs/2412.20671 (2024) - 2023
- [j124]Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang:
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. IEEE Data Eng. Bull. 47(2): 80-95 (2023) - [j123]Song Wang, Yifang Dang, Zhaoyi Sun, Ying Ding, Jyotishman Pathak, Cui Tao, Yunyu Xiao, Yifan Peng:
An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives. J. Am. Medical Informatics Assoc. 30(8): 1408-1417 (2023) - [j122]Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng:
Evaluating large language models on medical evidence summarization. npj Digit. Medicine 6 (2023) - [j121]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. IEEE Trans. Medical Imaging 42(3): 750-761 (2023) - [c94]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. ACL (Findings) 2023: 12532-12555 - [c93]Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang:
Vision HGNN: An Image is More than a Graph of Nodes. ICCV 2023: 19821-19831 - [c92]Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng:
Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction. ICHI 2023: 101-110 - [c91]Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML 2023: 14679-14690 - [c90]Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. ICML 2023: 14691-14701 - [c89]Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding:
Disparity in the Evolving COVID-19 Collaboration Network. iConference (1) 2023: 331-339 - [c88]Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding:
JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023). JCDL 2023: 306-307 - [c87]Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? MICCAI (5) 2023: 663-673 - [c86]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. WACV 2023: 4976-4985 - [c85]Angelo Antonio Salatino, Yi Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel M. Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai:
3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). WWW (Companion Volume) 2023: 783 - [c84]Huimin Xu, Chitrank Gupta, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding:
Cross-Team Collaboration and Diversity in the Bridge2AI Project. WWW (Companion Volume) 2023: 790-794 - [c83]Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang:
International Workshop on Digital Twins for Smart Health. WWW (Companion Volume) 2023: 988 - [e8]Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding:
Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, Santa Fe, New Mexico, USA and Online, 26 June, 2023. CEUR Workshop Proceedings 3451, CEUR-WS.org 2023 [contents] - [e7]Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9416-1 [contents] - [e6]Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben:
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM 2023, ISBN 978-1-4503-9419-2 [contents] - [i64]Li Shi, Redoan Rahman, Esther Melamed, Jacek Gwizdka, Justin F. Rousseau, Ying Ding:
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality. CoRR abs/2302.08605 (2023) - [i63]Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding:
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. CoRR abs/2303.00517 (2023) - [i62]Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding:
Disparity in the Evolving COVID-19 Collaboration Network. CoRR abs/2303.02473 (2023) - [i61]Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim:
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models. CoRR abs/2304.10946 (2023) - [i60]Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau:
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses. CoRR abs/2305.19339 (2023) - [i59]Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models. CoRR abs/2306.10460 (2023) - [i58]Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang:
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR abs/2306.10466 (2023) - [i57]Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding:
The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR abs/2306.15804 (2023) - [i56]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU mortality prediction. CoRR abs/2307.07513 (2023) - [i55]Chao Min, Yi Zhao, Yi Bu, Ying Ding, Caroline S. Wagner:
Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers. CoRR abs/2307.10198 (2023) - [i54]Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers? CoRR abs/2308.09180 (2023) - 2022
- [j120]Jeremy J. Yang, Christopher Gessner, Joel Duerksen, Daniel Biber, Jessica L. Binder, Murat Ozturk, Brian Foote, Robin McEntire, Kyle Stirling, Ying Ding, David J. Wild:
Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination. BMC Bioinform. 23(1): 37 (2022) - [j119]Chao Lu, Chenwei Zhang, Chengrui Xiao, Ying Ding:
Contributorship in scientific collaborations: The perspective of contribution-based byline orders. Inf. Process. Manag. 59(3): 102944 (2022) - [j118]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard B. Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding:
Pandemics are catalysts of scientific novelty: Evidence from COVID-19. J. Assoc. Inf. Sci. Technol. 73(8): 1065-1078 (2022) - [j117]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power. J. Assoc. Inf. Sci. Technol. 73(10): 1489-1505 (2022) - [j116]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132: 104139 (2022) - [j115]Xianlei Dong, Jiahui Xu, Yi Bu, Chenwei Zhang, Ying Ding, Beibei Hu, Yang Ding:
Beyond correlation: Towards matching strategy for causal inference in Information Science. J. Inf. Sci. 48(6): 735-748 (2022) - [j114]Meijun Liu, Ning Zhang, Xiao Hu, Ajay Jaiswal, Jian Xu, Hong Chen, Ying Ding, Yi Bu:
Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature. J. Informetrics 16(2): 101295 (2022) - [j113]Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding:
Team formation and team impact: The balance between team freshness and repeat collaboration. J. Informetrics 16(4): 101337 (2022) - [j112]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Reply to issues about entitymetrics and paper-entity citation network. Scientometrics 127(4): 2127-2129 (2022) - [c82]Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding:
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value. AMIA 2022 - [c81]Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng:
Prompt-based Learning for Assertion Classification in Clinical Notes. AMIA 2022 - [c80]Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng:
Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction. BCB 2022: 9:1-9:9 - [c79]Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng:
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL 2022: 359-368 - [c78]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. ICDM 2022: 981-986 - [c77]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI 2022: 288-296 - [c76]Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang:
Training Your Sparse Neural Network Better with Any Mask. ICML 2022: 9833-9844 - [c75]Yujia Zhai, Alec McGail, Ying Ding:
Elapsed Collective Memory: Looking for the Forgotten Classic Works in Library and Information Science. iConference (1) 2022: 61-68 - [c74]Tongyang Zhang, Jiexun Wu, Zhiwei Ye, Ying Ding, Jian Xu:
Cross-Regional Analysis of the Aging Phenomenon of Biomedical Scholars. iConference (1) 2022: 244-254 - [c73]Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang:
International Workshop on Data-driven Science of Science. KDD 2022: 4856-4857 - [c72]Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein:
International Workshop on Knowledge Graphs: Open Knowledge Network. KDD 2022: 4864-4865 - [c71]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS 2022 - [c70]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. WACV 2022: 1789-1798 - [i53]Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. CoRR abs/2201.03761 (2022) - [i52]Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. CoRR abs/2202.08461 (2022) - [i51]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR abs/2204.09599 (2022) - [i50]Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding:
Team formation and team performance: The balance between team freshness and repeat collaboration. CoRR abs/2205.08756 (2022) - [i49]Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang:
Training Your Sparse Neural Network Better with Any Mask. CoRR abs/2206.12755 (2022) - [i48]Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang:
Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays. CoRR abs/2207.04394 (2022) - [i47]Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang:
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR abs/2210.08122 (2022) - [i46]Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding:
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging. CoRR abs/2210.08388 (2022) - [i45]Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang:
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances. CoRR abs/2212.02675 (2022) - 2021
- [j111]Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. Data Intell. 3(3): 329-339 (2021) - [j110]Chao Min, Yi Bu, Ding Wu, Ying Ding, Yi Zhang:
Identifying citation patterns of scientific breakthroughs: A perspective of dynamic citation process. Inf. Process. Manag. 58(1): 102428 (2021) - [j109]Yujia Zhai, Ying Ding, Hezhao Zhang:
Innovation adoption: Broadcasting versus virality. J. Assoc. Inf. Sci. Technol. 72(4): 403-416 (2021) - [j108]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Partitioning highly, medium and lowly cited publications. J. Inf. Sci. 47(5) (2021) - [j107]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Exploring direct citations between citing publications. J. Inf. Sci. 47(5) (2021) - [j106]Beibei Hu, Yang Ding, Xianlei Dong, Yi Bu, Ying Ding:
On the relationship between download and citation counts: An introduction of Granger-causality inference. J. Informetrics 15(2): 101125 (2021) - [j105]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2(12): 100389 (2021) - [j104]Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu:
Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics 126(5): 4491-4509 (2021) - [j103]Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data 7(1): 38-44 (2021) - [j102]Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Hezhao Zhang, Anfan Chen, Ying Ding:
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements. IEEE Trans. Big Data 7(1): 69-80 (2021) - [c69]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays. AMIA 2021 - [c68]Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding:
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. ICDM 2021: 1132-1137 - [c67]Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng:
An empirical study of using radiology reports and images to improve ICU-mortality prediction. ICHI 2021: 497-498 - [c66]Lianjie Xiao, Weiwei Jiang, Kai Qin, Ying Ding:
Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues. iConference (1) 2021: 3-13 - [c65]Xuli Tang, Xin Li, Ying Ding, Feicheng Ma:
Understanding Team Collaboration in Artificial Intelligence from the Perspective of Geographic Distance. iConference (1) 2021: 14-23 - [c64]Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding:
Biomedical Knowledge Graph Refinement and Completion Using Graph Representation Learning and Top-K Similarity Measure. iConference (1) 2021: 112-123 - [c63]Baitong Chen, Qi Yu, Yi Bu, Ying Ding:
Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments. iConference (1) 2021: 137-145 - [c62]Ajay Jaiswal, Meijun Liu, Ying Ding:
Understanding Parachuting Collaboration. iConference (1) 2021: 183-189 - [c61]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning. ISBI 2021: 247-251 - [c60]Aoshen Wan, Yan Zhan, Sanjana Tripathi, Jiarong Yang, Mona Sachdev, Shreya Paithankar, Joel Duerksen, Bin Chen, Ying Ding:
Building the COVID-19 Portal By Integrating Literature, Clinical Trials, and Knowledge Graphs. JCDL 2021: 291-292 - [c59]Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda:
International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications. KDD 2021: 4121-4122 - [c58]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. ML4H@NeurIPS 2021: 196-208 - [e5]Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani:
The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings. Lecture Notes in Computer Science 12922, Springer 2021, ISBN 978-3-030-88360-7 [contents] - [i44]Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg:
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR abs/2101.04013 (2021) - [i43]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng:
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. CoRR abs/2101.04269 (2021) - [i42]Yujia Zhai, Ying Ding, Hezhao Zhang:
Innovation adoption: Broadcasting vs. Virality. CoRR abs/2103.04663 (2021) - [i41]Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg:
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data. CoRR abs/2104.02932 (2021) - [i40]Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang:
Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop. CoRR abs/2104.04968 (2021) - [i39]Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna:
A dataset of mentorship in science with semantic and demographic estimations. CoRR abs/2106.06487 (2021) - [i38]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding:
Team Power and Hierarchy: Understanding Team Success. CoRR abs/2108.04108 (2021) - [i37]Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding:
SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata. CoRR abs/2110.14787 (2021) - [i36]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR abs/2110.15426 (2021) - 2020
- [j101]Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma:
Co-contributorship network and division of labor in individual scientific collaborations. J. Assoc. Inf. Sci. Technol. 71(10): 1162-1178 (2020) - [j100]Qing Xie, Xinyuan Zhang, Ying Ding, Min Song:
Monolingual and multilingual topic analysis using LDA and BERT embeddings. J. Informetrics 14(3): 101055 (2020) - [j99]Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu:
The pace of artificial intelligence innovations: Speed, talent, and trial-and-error. J. Informetrics 14(4): 101094 (2020) - [j98]Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia:
The Gene of Scientific Success. ACM Trans. Knowl. Discov. Data 14(4): 41:1-41:19 (2020) - [c57]Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME 2020: 14-25 - [i35]Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding:
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR abs/2004.01375 (2020) - [i34]Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding:
Building a PubMed knowledge graph. CoRR abs/2005.04308 (2020) - [i33]Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Julia Fensel, Alex Pentland, Ying Ding:
Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements. CoRR abs/2005.10414 (2020) - [i32]Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding:
Coronavirus Knowledge Graph: A Case Study. CoRR abs/2007.10287 (2020) - [i31]Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu:
The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error. CoRR abs/2009.01812 (2020) - [i30]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding:
Can pandemics transform scientific novelty? Evidence from COVID-19. CoRR abs/2009.12500 (2020) - [i29]Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng:
Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays. CoRR abs/2011.12506 (2020) - [i28]Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding:
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure. CoRR abs/2012.10540 (2020) - [i27]Xuli Tang, Xin Li, Ying Ding, Feicheng Ma:
Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance. CoRR abs/2012.13560 (2020) - [i26]Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg:
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records. CoRR abs/2012.14065 (2020)
2010 – 2019
- 2019
- [j97]Jie Wang, Ying Ding, Shujie Bian, Yang Peng, Miao Liu, Guan Gui:
UL-CSI Data Driven Deep Learning for Predicting DL-CSI in Cellular FDD Systems. IEEE Access 7: 96105-96112 (2019) - [j96]Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy J. Yang, Christopher Gessner, Brian Foote, David J. Wild, Ying Ding, Qi Yu:
edge2vec: Representation learning using edge semantics for biomedical knowledge discovery. BMC Bioinform. 20(1): 306:1-306:15 (2019) - [j95]James A. Hendler, Ying Ding, Barend Mons:
A Journal for Human and Machine. Data Intell. 1(1): 1-5 (2019) - [j94]Guilin Meng, Yong Huang, Qi Yu, Ying Ding, David J. Wild, Yanxin Zhao, Xueyuan Liu, Min Song:
Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke. Frontiers Neuroinformatics 13: 17 (2019) - [j93]Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle I. Torvik, Matthew Schnaars, Chengzhi Zhang:
Examining scientific writing styles from the perspective of linguistic complexity. J. Assoc. Inf. Sci. Technol. 70(5): 462-475 (2019) - [j92]Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou:
Analyzing stock market trends using social media user moods and social influence. J. Assoc. Inf. Sci. Technol. 70(9): 1000-1013 (2019) - [j91]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
From zero to one: A perspective on citing. J. Assoc. Inf. Sci. Technol. 70(10): 1098-1107 (2019) - [j90]Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang:
Analyzing linguistic complexity and scientific impact. J. Informetrics 13(3): 817-829 (2019) - [j89]Jian Xu, Ying Ding, Yi Bu, Shuqing Deng, Chen Yu, Yimin Zou, Andrew D. Madden:
Interdisciplinary scholarly communication: an exploratory study for the field of joint attention. Scientometrics 119(3): 1597-1619 (2019) - [c56]Enguo Zhou, Daifeng Li, Andrew D. Madden, Yongsheng Chen, Ying Ding, Qi Kang, Huanning Su:
Modeling Adoption Behavior for Innovation Diffusion. iConference 2019: 339-349 - [c55]Chao Lu, Chengwei Zhang, Ying Ding, Dandan Ma, Yingyi Zhang:
Understanding Roles of Collaborators from Their Byline Orders and Affiliations. ISSI 2019: 2600-2601 - [i25]Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang:
Analyzing Linguistic Complexity and Scientific Impact. CoRR abs/1907.11843 (2019) - [i24]Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma:
Co-contributorship Network and Division of Labor in Individual Scientific Collaborations. CoRR abs/1911.10745 (2019) - 2018
- [j88]Yiming Zhao, Baitong Chen, Jin Zhang, Ying Ding, Jin Mao, Lihong Zhou:
An investigation on the evolution of diabetes data in social Q&A logs. Data Inf. Manag. 2(1): 37-48 (2018) - [j87]Daifeng Li, Andrew D. Madden, Chaochun Liu, Ying Ding, Liwei Qian, Enguo Zhou:
Modelling online user behavior for medical knowledge learning. Ind. Manag. Data Syst. 118(4): 889-911 (2018) - [j86]Chenwei Zhang, Yi Bu, Ying Ding, Jian Xu:
Understanding scientific collaboration: Homophily, transitivity, and preferential attachment. J. Assoc. Inf. Sci. Technol. 69(1): 72-86 (2018) - [j85]Yi Bu, Ying Ding, Jian Xu, Xingkun Liang, Gege Gao, Yiming Zhao:
Understanding success through the diversity of collaborators and the milestone of career. J. Assoc. Inf. Sci. Technol. 69(1): 87-97 (2018) - [j84]Yujia Zhai, Ying Ding, Fang Wang:
Measuring the diffusion of an innovation: A citation analysis. J. Assoc. Inf. Sci. Technol. 69(3): 368-379 (2018) - [j83]Yi Bu, Ying Ding, Xingkun Liang, Dakota S. Murray:
Understanding persistent scientific collaboration. J. Assoc. Inf. Sci. Technol. 69(3): 438-448 (2018) - [j82]Chao Min, Ying Ding, Jiang Li, Yi Bu, Lei Pei, Jianjun Sun:
Innovation or imitation: The diffusion of citations. J. Assoc. Inf. Sci. Technol. 69(10): 1271-1282 (2018) - [j81]Yanhua Lv, Ying Ding, Min Song, Zhiguang Duan:
Topology-driven trend analysis for drug discovery. J. Informetrics 12(3): 893-905 (2018) - [j80]Yi Bu, Dakota S. Murray, Ying Ding, Yong Huang, Yiming Zhao:
Measuring the stability of scientific collaboration. Scientometrics 114(2): 463-479 (2018) - [j79]Yashuang Qi, Na Zhu, Yujia Zhai, Ying Ding:
The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience. Scientometrics 115(2): 893-911 (2018) - [j78]Baitong Chen, Ying Ding, Feicheng Ma:
Semantic word shifts in a scientific domain. Scientometrics 117(1): 211-226 (2018) - [j77]Jian Xu, Yi Bu, Ying Ding, Sinan Yang, Hongli Zhang, Chen Yu, Lin Sun:
Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention. Scientometrics 117(2): 973-995 (2018) - [j76]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Number versus structure: towards citing cascades. Scientometrics 117(3): 2177-2193 (2018) - [c54]Yi Bu, Dakota S. Murray, Jian Xu, Ying Ding, Peng Ai, Jinhua Shen, Fan Yang:
Analyzing scientific collaboration with "giants" based on the milestones of career. ASIST 2018: 29-38 - [c53]Chao Min, Yi Bu, Jianjun Sun, Ying Ding:
Is scientific novelty reflected in citation patterns? ASIST 2018: 875-876 - [r3]Erjia Yan, Ying Ding:
Scholarly Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i23]Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle I. Torvik, Matthew Schnaars, Chengzhi Zhang:
Examining Scientific Writing Styles from the Perspective of Linguistic Complexity. CoRR abs/1807.08374 (2018) - [i22]Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding:
edge2vec: Learning Node Representation Using Edge Semantics. CoRR abs/1809.02269 (2018) - [i21]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Direct Citations between Citing Publications. CoRR abs/1811.01120 (2018) - 2017
- [j75]Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong:
User-level microblogging recommendation incorporating social influence. J. Assoc. Inf. Sci. Technol. 68(3): 553-568 (2017) - [j74]Xianlei Dong, Jian Xu, Ying Ding, Chenwei Zhang, Kunpeng Zhang, Min Song:
Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications. J. Data Inf. Sci. 1(1): 28-49 (2017) - [j73]Ying Ding, Kyle Stirling:
Data-driven Discovery: A New Era of Exploiting the Literature and Data. J. Data Inf. Sci. 1(4): 1-9 (2017) - [j72]Satoshi Tsutsui, Yi Bu, Ying Ding:
Using Machine Reading to Understand Alzheimer's and Related Diseases from the Literature. J. Data Inf. Sci. 2(4): 81-94 (2017) - [j71]Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song:
Standing on the shoulders of giants. J. Informetrics 11(1): 307-323 (2017) - [j70]Yujia Zhai, Shaojing Sun, Fang Wang, Ying Ding:
Multiplicity and uncertainty: Media coverage of autism causation. J. Informetrics 11(3): 873-887 (2017) - [j69]Baitong Chen, Satoshi Tsutsui, Ying Ding, Feicheng Ma:
Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval. J. Informetrics 11(4): 1175-1189 (2017) - [j68]Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner:
An efficient system to fund science: from proposal review to peer-to-peer distributions. Scientometrics 110(1): 521-528 (2017) - [j67]Chao Lu, Ying Ding, Chengzhi Zhang:
Understanding the impact change of a highly cited article: a content-based citation analysis. Scientometrics 112(2): 927-945 (2017) - [c52]Chao Lu, Yi Bu, Chenwei Zhang, Ying Ding, Vetle I. Torvik, Chengzhi Zhang:
Does collaboration bring high-impact studies? A preliminary study. ASIST 2017: 750-751 - [c51]Chao Min, Jianjun Sun, Ying Ding:
Quantifying the evolution of citation cascades. ASIST 2017: 761-763 - [c50]Ying Ding, Fang Wang, Xiaoyu Wang, Yujia Zhai:
Machine reading for relationships between autism research and the media. ASIST 2017: 844-846 - [c49]Qiuju Zhou, Guilin Meng, Ying Ding:
Who bridged the "Valley of Death" between basic research and clinical research? In the case of immune-checkpoints CTLA-4 and PD-1 based on inter-citation network. ASIST 2017: 855-856 - [c48]Baitong Chen, Ying Ding, Feicheng Ma:
Mapping the Semantic Word Shifts in Topics in the Field of Information Retrieval. ISSI 2017: 1335-1341 - [c47]Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Chengzhi Zhang:
To Be or Not to Be: Will Scientific Writing Affect Scientific Impact? ISSI 2017: 1649-1650 - 2016
- [j66]Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, Evan Bolton:
Predicting drug target interactions using meta-path-based semantic network analysis. BMC Bioinform. 17: 160 (2016) - [j65]Jian Xu, Ying Ding, Min Song, Tamy Chambers:
Author credit-assignment schemas: A comparison and analysis. J. Assoc. Inf. Sci. Technol. 67(8): 1973-1989 (2016) - [j64]Chao Min, Jianjun Sun, Lei Pei, Ying Ding:
Measuring delayed recognition for papers: Uneven weighted summation and total citations. J. Informetrics 10(4): 1153-1165 (2016) - 2015
- [j63]Luke Kien-Weng Tan, Jin-Cheon Na, Ying Ding:
Influence diffusion detection using the influence style (INFUSE) model. J. Assoc. Inf. Sci. Technol. 66(8): 1717-1733 (2015) - [j62]Beibei Hu, Xianlei Dong, Chenwei Zhang, Timothy D. Bowman, Ying Ding, Stasa Milojevic, Chaoqun Ni, Erjia Yan, Vincent Larivière:
A lead-lag analysis of the topic evolution patterns for preprints and publications. J. Assoc. Inf. Sci. Technol. 66(12): 2643-2656 (2015) - [j61]Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang:
Topic-level opinion influence model (TOIM): An investigation using tencent microblogging. J. Assoc. Inf. Sci. Technol. 66(12): 2657-2673 (2015) - [j60]Qi Yu, Ying Ding, Min Song, Sung Jeon Song, Jianhua Liu, Bin Zhang:
Tracing database usage: Detecting main paths in database link networks. J. Informetrics 9(1): 1-15 (2015) - [j59]Min Song, Go Eun Heo, Ying Ding:
SemPathFinder: Semantic path analysis for discovering publicly unknown knowledge. J. Informetrics 9(4): 686-703 (2015) - [j58]Tehmina Amjad, Ying Ding, Ali Daud, Jian Xu, Vincent Malic:
Topic-based heterogeneous rank. Scientometrics 104(1): 313-334 (2015) - [c46]Jian Xu, Ying Ding, Chaomei Chen, Erjia Yan:
Hypothesis Generation for Joint Attention Analysis on Autism. ISSI 2015 - [e4]Patrick Lambrix, Eero Hyvönen, Eva Blomqvist, Valentina Presutti, Guilin Qi, Uli Sattler, Ying Ding, Chiara Ghidini:
Knowledge Engineering and Knowledge Management - EKAW 2014 Satellite Events, VISUAL, EKM1, and ARCOE-Logic, Linköping, Sweden, November 24-28, 2014. Revised Selected Papers. Lecture Notes in Computer Science 8982, Springer 2015, ISBN 978-3-319-17965-0 [contents] - 2014
- [b3]Bin Chen, Huijun Wang, Ying Ding, David J. Wild:
Semantic Breakthrough in Drug Discovery. Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers 2014, ISBN 978-3-031-79455-1 - [j57]Min Song, Suyeon Kim, Guo Zhang, Ying Ding, Tamy Chambers:
Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central. J. Assoc. Inf. Sci. Technol. 65(2): 352-371 (2014) - [j56]Rui Li, Tamy Chambers, Ying Ding, Guo Zhang, Liansheng Meng:
Patent citation analysis: Calculating science linkage based on citing motivation. J. Assoc. Inf. Sci. Technol. 65(5): 1007-1017 (2014) - [j55]Ying Ding, Guo Zhang, Tamy Chambers, Min Song, Xiaolong Wang, Chengxiang Zhai:
Content-based citation analysis: The next generation of citation analysis. J. Assoc. Inf. Sci. Technol. 65(9): 1820-1833 (2014) - [j54]Yoo Kyung Jeong, Min Song, Ying Ding:
Content-based author co-citation analysis. J. Informetrics 8(1): 197-211 (2014) - [j53]Stasa Milojevic, Cassidy R. Sugimoto, Vincent Larivière, Mike Thelwall, Ying Ding:
The role of handbooks in knowledge creation and diffusion: A case of science and technology studies. J. Informetrics 8(3): 693-709 (2014) - [c45]Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo:
Modeling Paying Behavior in Game Social Networks. CIKM 2014: 411-420 - [c44]Tamy Chambers, Stasa Milojevic, Ying Ding:
Female semantic web researchers: does collaboration with male researchers influence their network status? WebSci 2014: 301-302 - [r2]Erjia Yan, Ying Ding:
Scholarly Networks Analysis. Encyclopedia of Social Network Analysis and Mining 2014: 1643-1651 - [i20]Stasa Milojevic, Cassidy R. Sugimoto, Vincent Larivière, Mike Thelwall, Ying Ding:
The role of handbooks in knowledge creation and diffusion: A case of science and technology studies. CoRR abs/1406.2886 (2014) - 2013
- [j52]Chaoqun Ni, Debora Shaw, Sean M. Lind, Ying Ding:
Journal impact and proximity: An assessment using bibliographic features. J. Assoc. Inf. Sci. Technol. 64(4): 802-817 (2013) - [j51]Guo Zhang, Ying Ding, Stasa Milojevic:
Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content. J. Assoc. Inf. Sci. Technol. 64(7): 1490-1503 (2013) - [j50]Bing He, Ying Ding, Jie Tang, Vignesh Reguramalingam, Johan Bollen:
Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective. J. Informetrics 7(1): 117-128 (2013) - [j49]Erjia Yan, Ying Ding, Blaise Cronin, Loet Leydesdorff:
A bird's-eye view of scientific trading: Dependency relations among fields of science. J. Informetrics 7(2): 249-264 (2013) - [j48]Ying Ding, Xiaozhong Liu, Chun Guo, Blaise Cronin:
The distribution of references across texts: Some implications for citation analysis. J. Informetrics 7(3): 583-592 (2013) - [j47]Lili Lin, Zhuoming Xu, Ying Ding:
OWL Ontology Extraction from Relational Databases via Database Reverse Engineering. J. Softw. 8(11): 2749-2760 (2013) - [j46]Lili Lin, Zhuoming Xu, Ying Ding, Xiaozhong Liu:
Finding topic-level experts in scholarly networks. Scientometrics 97(3): 797-819 (2013) - [c43]Tamy Chambers, Sahil Shah, Ashish Urankar, Venkat Kalyan, Andrea Scharnhorst, Linda Reijnhoudt, Laura Ridenour, Christophe Guéret, Ying Ding:
Bilingual researcher profiles: Modeling dutch researchers in both english and dutch using the VIVO ontology. ASIST 2013: 1-4 - [c42]Xiaozhong Liu, Miao Chen, Ying Ding, Min Song:
Workshop summary for the 2013 international workshop on mining unstructured big data using natural language processing. CIKM 2013: 2547-2548 - [e3]Xiaozhong Liu, Miao Chen, Ying Ding, Min Song:
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, UnstructureNLP@CIKM 2013, San Francisco, California, USA, October 28, 2013. ACM 2013, ISBN 978-1-4503-2415-1 [contents] - [i19]Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner:
Collective allocation of science funding: from funding agencies to scientific agency. CoRR abs/1304.1067 (2013) - [i18]Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild:
Meta Path-Based Collective Classification in Heterogeneous Information Networks. CoRR abs/1305.4433 (2013) - [i17]Ying Ding, Min Song, Jia Han, Qi Yu, Erjia Yan, Lili Lin, Tamy Chambers:
Entitymetrics: Measuring the Impact of Entities. CoRR abs/1309.2486 (2013) - 2012
- [b2]Katy Börner, Michael Conlon, Jon Corson-Rikert, Ying Ding:
VIVO: A Semantic Approach to Scholarly Networking and Discovery. Synthesis Lectures on the Semantic Web, Morgan & Claypool Publishers 2012, ISBN 978-3-031-79434-6 - [j45]Xin Shuai, Ying Ding, Jerome R. Busemeyer, Shanshan Chen, Yuyin Sun, Jie Tang:
Modeling Indirect Influence on Twitter. Int. J. Semantic Web Inf. Syst. 8(4): 20-36 (2012) - [j44]Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, Tianxi Dong:
The dynamic features of Delicious, Flickr, and YouTube. J. Assoc. Inf. Sci. Technol. 63(1): 139-162 (2012) - [j43]Ying Ding:
Information Concepts, Retrieval, and Services [Series]. J. Assoc. Inf. Sci. Technol. 63(2): 421-424 (2012) - [j42]Erjia Yan, Ying Ding:
Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other. J. Assoc. Inf. Sci. Technol. 63(7): 1313-1326 (2012) - [j41]Bin Chen, Ying Ding, David J. Wild:
Improving integrative searching of systems chemical biology data using semantic annotation. J. Cheminformatics 4: 6 (2012) - [j40]Erjia Yan, Ying Ding, Stasa Milojevic, Cassidy R. Sugimoto:
Topics in dynamic research communities: An exploratory study for the field of information retrieval. J. Informetrics 6(1): 140-153 (2012) - [j39]Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha:
Adding community and dynamic to topic models. J. Informetrics 6(2): 237-253 (2012) - [j38]Bing He, Ying Ding, Erjia Yan:
Mining patterns of author orders in scientific publications. J. Informetrics 6(3): 359-367 (2012) - [j37]Bin Chen, Ying Ding, David J. Wild:
Assessing Drug Target Association Using Semantic Linked Data. PLoS Comput. Biol. 8(7) (2012) - [j36]Erjia Yan, Ying Ding, Elin K. Jacob:
Overlaying communities and topics: an analysis on publication networks. Scientometrics 90(2): 499-513 (2012) - [c41]Cassidy R. Sugimoto, Ying Ding, Mike Thelwall:
Library and information science in the big data era: Funding, projects, and future [a panel proposal]. ASIST 2012: 1-3 - [c40]Erjia Yan, Ying Ding, Xiangnan Kong:
Monitoring knowledge flow through scholarly networks. ASIST 2012: 1-5 - [c39]Guo Zhang, Ying Ding:
Scholarly conformity: Origins, framework, applications and implications. ASIST 2012: 1-4 - [c38]Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang:
Mining competitive relationships by learning across heterogeneous networks. CIKM 2012: 1432-1441 - [c37]Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo:
Mining topic-level opinion influence in microblog. CIKM 2012: 1562-1566 - [c36]Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild:
Meta path-based collective classification in heterogeneous information networks. CIKM 2012: 1567-1571 - [c35]Xin Shuai, Ying Ding, Jerome R. Busemeyer:
How can spreaders affect the indirect infuence on twitter? JCDL 2012: 385-386 - [c34]Xin Shuai, Ying Ding, Jerome R. Busemeyer:
Multiple spreaders affect the indirect influence on twitter. WWW (Companion Volume) 2012: 597-598 - [i16]Xin Shuai, Ying Ding, Jerome R. Busemeyer:
Multiple spreaders affect the indirect influence on Twitter. CoRR abs/1202.6601 (2012) - [i15]Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-Zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang:
Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging. CoRR abs/1210.6497 (2012) - [i14]Daifeng Li, Jingwei Zhang, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo:
What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users. CoRR abs/1211.2197 (2012) - [i13]Erjia Yan, Ying Ding, Blaise Cronin, Loet Leydesdorff:
A bird's-eye view of scientific trading: Dependency relations among fields of science. CoRR abs/1211.5820 (2012) - [i12]Guo Zhang, Ying Ding, Stasa Milojevic:
Citation content analysis (cca): A framework for syntactic and semantic analysis of citation content. CoRR abs/1211.6321 (2012) - 2011
- [j35]Qian Zhu, Yuyin Sun, Sashikiran Challa, Ying Ding, Michael S. Lajiness, David J. Wild:
Semantic Inference using Chemogenomics Data for Drug Discovery. BMC Bioinform. 12: 256 (2011) - [j34]Ying Ding, Blaise Cronin:
Popular and/or prestigious? Measures of scholarly esteem. Inf. Process. Manag. 47(1): 80-96 (2011) - [j33]Erjia Yan, Ying Ding:
Discovering author impact: A PageRank perspective. Inf. Process. Manag. 47(1): 125-134 (2011) - [j32]Cassidy R. Sugimoto, Daifeng Li, Terrell G. Russell, S. Craig Finlay, Ying Ding:
The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation. J. Assoc. Inf. Sci. Technol. 62(1): 185-204 (2011) - [j31]Ying Ding:
Applying weighted PageRank to author citation networks. J. Assoc. Inf. Sci. Technol. 62(2): 236-245 (2011) - [j30]Ying Ding:
Topic-based PageRank on author cocitation networks. J. Assoc. Inf. Sci. Technol. 62(3): 449-466 (2011) - [j29]Erjia Yan, Ying Ding, Cassidy R. Sugimoto:
P-Rank: An indicator measuring prestige in heterogeneous scholarly networks. J. Assoc. Inf. Sci. Technol. 62(3): 467-477 (2011) - [j28]Bing He, Ying Ding, Chaoqun Ni:
Mining enriched contextual information of scientific collaboration: A meso perspective. J. Assoc. Inf. Sci. Technol. 62(5): 831-845 (2011) - [j27]Daifeng Li, Ying Ding, Cassidy R. Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong:
Modeling topic and community structure in social tagging: The TTR-LDA-Community model. J. Assoc. Inf. Sci. Technol. 62(9): 1849-1866 (2011) - [j26]Stasa Milojevic, Cassidy R. Sugimoto, Erjia Yan, Ying Ding:
The cognitive structure of Library and Information Science: Analysis of article title words. J. Assoc. Inf. Sci. Technol. 62(10): 1933-1953 (2011) - [j25]Ying Ding:
Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks. J. Informetrics 5(1): 187-203 (2011) - [j24]Ying Ding:
Community detection: Topological vs. topical. J. Informetrics 5(4): 498-514 (2011) - [c33]Erjia Yan, Ying Ding:
Library and information science (LIS) as we see it: An overview at the state and country level from 1965-2010. ASIST 2011: 1-8 - [c32]Stella Mitchell, Carlo Torniai, Brian Lowe, Jon Corson-Rikert, Melanie Wilson, Mansoor Ahmed, Shanshan Chen, Ying Ding, Nicholas Rejack, Melissa A. Haendel:
Aligning Research Resource and Researcher Representation: The eagle-i and VIVO Use Case. ICBO 2011 - [i11]Ying Ding:
Applying weighted PageRank to author citation networks. CoRR abs/1102.1760 (2011) - [i10]Qian Zhu, Yuyin Sun, Sashikiran Challa, Ying Ding, Michael S. Lajiness, David J. Wild:
Semantic Inference using Chemogenomics Data for Drug Discovery. CoRR abs/1106.4880 (2011) - [i9]Xin Shuai, Ying Ding, Jerome R. Busemeyer, Yuyin Sun, Shanshan Chen, Jie Tang:
Does Quantum Interference exist in Twitter? CoRR abs/1107.0681 (2011) - 2010
- [j23]Bin Chen, Xiao Dong, Dazhi Jiao, Huijun Wang, Qian Zhu, Ying Ding, David J. Wild:
Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data. BMC Bioinform. 11: 255 (2010) - [j22]Ying Ding, Elin K. Jacob, Michael A. H. Fried, Ioan Toma, Erjia Yan, Schubert Foo, Stasa Milojevic:
Upper tag ontology for integrating social tagging data. J. Assoc. Inf. Sci. Technol. 61(3): 505-521 (2010) - [j21]Erjia Yan, Ying Ding:
Weighted citation: An indicator of an article's prestige. J. Assoc. Inf. Sci. Technol. 61(8): 1635-1643 (2010) - [j20]Qian Zhu, Michael S. Lajiness, Ying Ding, David J. Wild:
WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications. J. Cheminformatics 2: 6 (2010) - [j19]Ying Ding:
Semantic Web: Who is who in the field - a bibliometric analysis. J. Inf. Sci. 36(3): 335-356 (2010) - [j18]Erjia Yan, Ying Ding, Qinghua Zhu:
Mapping library and information science in China: a coauthorship network analysis. Scientometrics 83(1): 115-131 (2010) - [c31]Ying Ding, Yuyin Sun, Bin Chen, Katy Börner, Li Ding, David J. Wild, Melanie Wu, Dominic DiFranzo, Alvaro Graves Fuenzalida, Daifeng Li:
Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data. AMT 2010: 448-460 - [c30]Bing He, Ying Ding, Stasa Milojevic, Elin K. Jacob:
A Comparative analysis of user-generated and author-generated metadata for web resources. ASIST 2010: 1-2 - [c29]Chaoqun Ni, Ying Ding:
Journal clustering through interlocking editorship information. ASIST 2010: 1-10 - [c28]Erjia Yan, Ying Ding:
Measuring scholarly impact in heterogeneous networks. ASIST 2010: 1-7 - [c27]Daifeng Li, Ying Ding, Zheng Qin, Stasa Milojevic, Bing He, Erjia Yan, Tianxi Dong:
Dynamic Features of Social Tagging Vocabulary: Delicious, Flickr and YouTube. ASONAM 2010: 316-320 - [c26]Ioan Toma, Ying Ding, Dieter Fensel:
Optimizing Semantic Web Services Ranking Using Parallelization and Rank Aggregation Techniques. ISSS/BPSC 2010: 181-193 - [c25]Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong:
Community-based topic modeling for social tagging. CIKM 2010: 1565-1568 - [c24]Qian Zhu, Sashikiran Challa, Prajakta Purohit, Yuyin Sun, Michael S. Lajiness, David J. Wild, Ying Ding:
Using Web Technologies for Integrative Drug Discovery. Web Intelligence 2010: 188-191 - [c23]Bin Chen, Ying Ding, Huijun Wang, David J. Wild, Xiao Dong, Yuyin Sun, Qian Zhu, Madhuvanthi Sankaranarayanan:
Chem2Bio2RDF: A Linked Open Data Portal for Systems Chemical Biology. Web Intelligence 2010: 232-239 - [c22]Ali Daud, Juanzi Li, Lizhu Zhou, Lei Zhang, Ying Ding, Faqir Muhammad:
Modeling Ontology of Folksonomy with Latent Semantics of Tags. Web Intelligence 2010: 516-523 - [c21]Mayank Singhi, Ying Ding, Yuyin Sun:
Muzk Mesh: Interlinking Semantic Music Data. Web Intelligence 2010: 699-702 - [i8]Ying Ding:
Semantic Web: Who is who in the field - A bibliometric analysis. CoRR abs/1012.4752 (2010) - [i7]Bin Chen, David J. Wild, Qian Zhu, Ying Ding, Xiao Dong, Madhuvanthi Sankaranarayanan, Huijun Wang, Yuyin Sun:
Chem2Bio2RDF: A Linked Open Data Portal for Chemical Biology. CoRR abs/1012.4759 (2010) - [i6]Erjia Yan, Ying Ding:
Applying centrality measures to impact analysis: A coauthorship network analysis. CoRR abs/1012.4862 (2010) - [i5]Erjia Yan, Ying Ding:
Discovering author impact: A PageRank perspective. CoRR abs/1012.4870 (2010) - [i4]Ying Ding, Blaise Cronin:
Popular and/or Prestigious? Measures of Scholarly Esteem. CoRR abs/1012.4871 (2010) - [i3]Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee:
PageRank for ranking authors in co-citation networks. CoRR abs/1012.4872 (2010) - [i2]Ying Ding, Elin K. Jacob, Michael A. H. Fried, Ioan Toma, Erjia Yan, Schubert Foo:
Upper Tag Ontology (UTO) For Integrating Social Tagging Data. CoRR abs/1012.4875 (2010) - [i1]Erjia Yan, Ying Ding:
Weighted citation: An indicator of an article's prestige. CoRR abs/1012.4876 (2010)
2000 – 2009
- 2009
- [j17]Ying Ding, Elin K. Jacob, James Caverlee, Michael A. H. Fried, Zhixiong Zhang:
Profiling Social Networks: A Social Tagging Perspective. D Lib Mag. 15(3/4) (2009) - [j16]Erjia Yan, Ying Ding:
Applying centrality measures to impact analysis: A coauthorship network analysis. J. Assoc. Inf. Sci. Technol. 60(10): 2107-2118 (2009) - [j15]Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee:
PageRank for ranking authors in co-citation networks. J. Assoc. Inf. Sci. Technol. 60(11): 2229-2243 (2009) - [j14]Ying Ding, Elin K. Jacob, Zhixiong Zhang, Schubert Foo, Erjia Yan, Nicolas L. George, Lijiang Guo:
Perspectives on social tagging. J. Assoc. Inf. Sci. Technol. 60(12): 2388-2401 (2009) - [c20]Sashikiran Challa, David J. Wild, Ying Ding, Qian Zhu:
Semantic Rules on Drug Discovery Data. ASWC 2009: 362-364 - [c19]Ioan Toma, Ying Ding, Krissada Chalermsook, Elena Simperl, Dieter Fensel:
Utilizing Web2.0 in Web Service Ranking. ICDS 2009: 174-179 - [c18]Said Kashoob, James Caverlee, Ying Ding:
A Categorical Model for Discovering Latent Structure in Social Annotations. ICWSM 2009 - [e2]Asunción Gómez-Pérez, Yong Yu, Ying Ding:
The Semantic Web, Fourth Asian Conference, ASWC 2009, Shanghai, China, December 6-9, 2009. Proceedings. Lecture Notes in Computer Science 5926, Springer 2009, ISBN 978-3-642-10870-9 [contents] - 2008
- [c17]Ying Ding, Ioan Toma, Sin-Jae Kang, Zhixiong Zhang, Michael A. H. Fried:
Mediating and Analyzing Social Data. OTM Conferences (2) 2008: 1355-1366 - [c16]Ying Ding, Ioan Toma, Michael A. H. Fried, Sin-Jae Kang, Zhixian Yan:
Integrating social tagging data: Upper Tag Ontology (UTO). SMC 2008: 460-466 - [c15]Juan-Zi Li, Gui-Rong Xue, Jie Tang, Ying Ding:
WWW 2008 workshop on social web search and mining: SWSM2008. WWW 2008: 1281-1282 - 2007
- [j13]Dieter Fensel, Reto Krummenacher, M. Omair Shafiq, Eva Kühn, Johannes Riemer, Ying Ding, Bernd Draxler:
TSC - Triple Space Computing. Elektrotech. Informationstechnik 124(1-2): 31-38 (2007) - [c14]Zhixian Yan, François Scharffe, Ying Ding:
Semantic Search on Cross-Media Cultural Archives. AWIC 2007: 375-380 - [c13]Zhixian Yan, Ying Ding, Emilia Cimpian:
Towards a Domain Oriented and Independent Semantic Search Model. KES (3) 2007: 736-744 - [c12]Michael Luger, Ying Ding, François Scharffe, Rubing Duan, Zhixian Yan:
EASAIER Semantic Music Retrieval Portal. SAMT (Posters and Demos) 2007 - [c11]François Scharffe, Ying Ding, Dieter Fensel:
Towards Correspondence Patterns for Ontology Mediation. OM 2007 - 2006
- [c10]Johannes Riemer, Francisco Martín-Recuerda, Ying Ding, Martin Murth, Brahmananda Sapkota, Reto Krummenacher, M. Omair Shafiq, Dieter Fensel, Eva Kühn:
Triple Space Computing: Adding Semantics to Space-Based Computing. ASWC 2006: 300-306 - [c9]M. Omair Shafiq, François Scharffe, Reto Krummenacher, Ying Ding, Dieter Fensel:
Data Mediation Support for Triple Space Computing. CollaborateCom 2006 - [c8]M. Omair Shafiq, Reto Krummenacher, Francisco Martín-Recuerda, Ying Ding, Dieter Fensel:
Triple Space Computing Middleware for Semantic Web Services. EDOC Workshops 2006: 15 - [c7]M. Omair Shafiq, Ying Ding, Dieter Fensel:
Bridging Multi Agent Systems and Web Services: towards interoperability between Software Agents and Semantic Web Services. EDOC 2006: 85-96 - [c6]Yihong Ding, David W. Embley, Ying Ding, M. Omair Shafiq:
Avoiding Deceptive Annotations in the Semantic Web. SAAW@ISWC 2006 - 2005
- [j12]Holger Lausen, Ying Ding, Michael Stollberg, Dieter Fensel, Rubén Lara Hernandez, Sung-Kook Han:
Semantic web portals: state-of-the-art survey. J. Knowl. Manag. 9(5): 40-49 (2005) - 2004
- [c5]Michael Stollberg, Holger Lausen, Rubén Lara, Ying Ding, Sung-Kook Han, Dieter Fensel:
Towards Semantic Web Portals. WWW Workshop on Application Design, Development and Implementation Issues in the Semantic Web 2004 - [p1]Ying Ding, Dieter Fensel, Michel C. A. Klein, Borys Omelayenko, Ellen Schulten:
The Role of Ontologies in eCommerce. Handbook on Ontologies 2004: 593-616 - [e1]Ying Ding, Dieter Fensel, Rubén Lara, Holger Lausen, Michael Stollberg, Sung-Kook Han:
Proceedings of the ECAI 2004 Workshop on Application of Semantic Web Technologies to Web Communities, Valencia, Spain, August 23-27, 2004. CEUR Workshop Proceedings 107, CEUR-WS.org 2004 [contents] - [r1]Sinuhé Arroyo, Rubén Lara, Juan Miguel Gómez, David Berka, Ying Ding, Dieter Fensel:
Semantic Aspects of Web Services. The Practical Handbook of Internet Computing 2004 - 2003
- [j11]Ying Ding, Cornelis Joost van Rijsbergen, Iadh Ounis, Joemon M. Jose:
Report on ACM SIGIR workshop on "semantic web" SWIR 2003. SIGIR Forum 37(2): 45-49 (2003) - [c4]Borys Omelayenko, Monica Crubézy, Dieter Fensel, V. Richard Benjamins, Bob J. Wielinga, Enrico Motta, Mark A. Musen, Ying Ding:
UPML: The Language and Tool Support for Making the Semantic Web Alive. Spinning the Semantic Web 2003: 141-170 - 2002
- [j10]Ying Ding, Dieter Fensel, Michel C. A. Klein, Borys Omelayenko:
The semantic web: yet another hip? Data Knowl. Eng. 41(2-3): 205-227 (2002) - [j9]Ying Ding, Schubert Foo:
Ontology research and development. Part 1 - a review of ontology generation. J. Inf. Sci. 28(2): 123-136 (2002) - [j8]Ying Ding, Schubert Foo:
Ontology research and development. Part 2 - a review of ontology mapping and evolving. J. Inf. Sci. 28(5): 375-388 (2002) - [c3]Ying Ding, Maksym Korotkiy, Borys Omelayenko, Vera Kartseva, Volodymyr Zykov, Michel C. A. Klein, Ellen Schulten, Dieter Fensel:
GoldenBullet in a Nutshell. FLAIRS 2002: 403-407 - 2001
- [b1]Ying Ding:
Scholarly communications in information retrieval : a cocitation analysis and its applications. Nanyang Technological University, Singapore, 2001 - [j7]Dieter Fensel, Ying Ding, Borys Omelayenko, Ellen Schulten, Guy Botquin, Mike Brown, Alan Flett:
Product Data Integration in B2B E-Commerce. IEEE Intell. Syst. 16(4): 54-59 (2001) - [j6]Ying Ding, Gobinda G. Chowdhury, Schubert Foo:
Bibliometric cartography of information retrieval research by using co-word analysis. Inf. Process. Manag. 37(6): 817-842 (2001) - [j5]Ying Ding:
A review of ontologies with the Semantic Web in view. J. Inf. Sci. 27(6): 377-384 (2001) - [c2]Ying Ding, Robert Engels:
IR and AI: Using co-occurrence Theory to Generate Lightweight Ontologies. DEXA Workshop 2001: 961-965 - [c1]Ying Ding, Dieter Fensel:
Ontology Library Systems: The key to successful Ontology Reuse. SWWS 2001: 93-112 - 2000
- [j4]Ying Ding, Gobinda G. Chowdhury, Schubert Foo, Weizhong Qian:
Bibliometric information retrieval system (BIRS): A web search interface utilizing bibliometric research results. J. Am. Soc. Inf. Sci. 51(13): 1190-1204 (2000) - [j3]Ying Ding, Gobinda G. Chowdhury, Schubert Foo:
Incorporating the results of co-word analyses to increase search variety for information retrieval. J. Inf. Sci. 26(6): 429-451 (2000) - [j2]Ying Ding, Gobinda G. Chowdhury, Schubert Foo:
Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987-1997. Scientometrics 47(1): 55-73 (2000)
1990 – 1999
- 1999
- [j1]Ying Ding, Gobinda G. Chowdhury, Schubert Foo:
Mapping the intellectual structure of information retrieval studies: an author co-citation analysis, 1987-1997. J. Inf. Sci. 25(1): 67-78 (1999)
Coauthor Index
[j132] [i83] [j130] [j129] [j128] [c102] [c98] [c85] [i57] [i55] [j118] [j117] [j115] [j114] [j113] [j112] [c73] [i52] [i50] [j110] [j108] [j107] [j106] [j104] [c63] [i38] [j99] [j98] [i34] [i32] [i31] [i30] [j93] [j91] [j90] [j89] [i25] [j86] [j85] [j83] [j82] [j80] [j77] [j76] [c54] [c53] [i23] [i21] [j72] [c52] [c47]
Ajay Jaiswal
aka: Ajay Kumar Jaiswal
aka: Ajay Kumar Jaiswal
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last updated on 2025-07-06 18:46 CEST by the dblp team
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