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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
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2020 – today
- 2022
[j108]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)- [j107]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) - [c60]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 - [c59]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 - [c58]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 - [i41]Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng:
Prior Knowledge Enhances Radiology Report Generation. CoRR abs/2201.03761 (2022) - 2021
- [j106]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) - [j105]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) - [j104]Yujia Zhai, Ying Ding, Hezhao Zhang:
Innovation adoption: Broadcasting versus virality. J. Assoc. Inf. Sci. Technol. 72(4): 403-416 (2021) - [j103]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Partitioning highly, medium and lowly cited publications. J. Inf. Sci. 47(5) (2021) - [j102]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Exploring direct citations between citing publications. J. Inf. Sci. 47(5) (2021) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]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) - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]Baitong Chen, Qi Yu, Yi Bu, Ying Ding:
Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments. iConference (1) 2021: 137-145 - [c51]Ajay Jaiswal, Meijun Liu, Ying Ding:
Understanding Parachuting Collaboration. iConference (1) 2021: 183-189 - [c50]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 - [c49]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 - [e3]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] - [i40]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) - [i39]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) - [i38]Yujia Zhai, Ying Ding, Hezhao Zhang:
Innovation adoption: Broadcasting vs. Virality. CoRR abs/2103.04663 (2021) - [i37]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) - [i36]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) - [i35]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) - [i34]Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin Rousseau, Yifan Peng, Ying Ding:
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR abs/2110.15426 (2021) - 2020
- [j96]Qing Xie, Xinyuan Zhang, Ying Ding, Min Song:
Monolingual and multilingual topic analysis using LDA and BERT embeddings. J. Informetrics 14(3): 101055 (2020) - [j95]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) - [j94]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) - [c48]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 - [i33]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) - [i32]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) - [i31]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) - [i30]Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding:
Coronavirus Knowledge Graph: A Case Study. CoRR abs/2007.10287 (2020) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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
- [j93]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) - [j92]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) - [j91]James A. Hendler, Ying Ding, Barend Mons:
A Journal for Human and Machine. Data Intell. 1(1): 1-5 (2019) - [j90]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) - [j89]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) - [j88]Daifeng Li, Yintian Wang, Andrew 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) - [j87]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) - [j86]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) - [j85]Jian Xu, Ying Ding, Yi Bu, Shuqing Deng, Chen Yu, Yimin Zou, Andrew Madden:
Interdisciplinary scholarly communication: an exploratory study for the field of joint attention. Scientometrics 119(3): 1597-1619 (2019) - [i23]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) - 2018
- [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]Yi Bu, Ying Ding, Xingkun Liang, Dakota S. Murray:
Understanding persistent scientific collaboration. J. Assoc. Inf. Sci. Technol. 69(3): 438-448 (2018) - [j79]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) - [j78]Yanhua Lv, Ying Ding, Min Song, Zhiguang Duan:
Topology-driven trend analysis for drug discovery. J. Informetrics 12(3): 893-905 (2018) - [j77]Yi Bu, Dakota S. Murray, Ying Ding, Yong Huang, Yiming Zhao:
Measuring the stability of scientific collaboration. Scientometrics 114(2): 463-479 (2018) - [j76]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) - [j75]Baitong Chen, Ying Ding, Feicheng Ma:
Semantic word shifts in a scientific domain. Scientometrics 117(1): 211-226 (2018) - [j74]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) - [j73]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Number versus structure: towards citing cascades. Scientometrics 117(3): 2177-2193 (2018) - [r3]Erjia Yan, Ying Ding:
Scholarly Network Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i22]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) - [i21]Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding:
edge2vec: Learning Node Representation Using Edge Semantics. CoRR abs/1809.02269 (2018) - [i20]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Direct Citations between Citing Publications. CoRR abs/1811.01120 (2018) - 2017
- [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]Yujia Zhai, Shaojing Sun, Fang Wang, Ying Ding:
Multiplicity and uncertainty: Media coverage of autism causation. J. Informetrics 11(3): 873-887 (2017) - [j67]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) - [j66]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) - [c47]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 - [c46]Chao Min, Jianjun Sun, Ying Ding:
Quantifying the evolution of citation cascades. ASIST 2017: 761-763 - [c45]Ying Ding, Fang Wang, Xiaoyu Wang, Yujia Zhai:
Machine reading for relationships between autism research and the media. ASIST 2017: 844-846 - [c44]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 - [c43]Baitong Chen, Ying Ding, Feicheng Ma:
Mapping the Semantic Word Shifts in Topics in the Field of Information Retrieval. ISSI 2017: 1335-1341 - [c42]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
- [j65]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) - [j64]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) - [j63]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
- [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]Min Song, Go Eun Heo, Ying Ding:
SemPathFinder: Semantic path analysis for discovering publicly unknown knowledge. J. Informetrics 9(4): 686-703 (2015) - [j57]Tehmina Amjad, Ying Ding, Ali Daud, Jian Xu, Vincent Malic:
Topic-based heterogeneous rank. Scientometrics 104(1): 313-334 (2015) - [c41]Jian Xu, Ying Ding, Chaomei Chen, Erjia Yan:
Hypothesis Generation for Joint Attention Analysis on Autism. ISSI 2015 - 2014
- [b2]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 - [j56]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) - [j55]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) - [j54]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) - [j53]Yoo Kyung Jeong, Min Song, Ying Ding:
Content-based author co-citation analysis. J. Informetrics 8(1): 197-211 (2014) - [j52]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) - [c40]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 - [c39]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 - [i19]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
- [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]Lili Lin, Zhuoming Xu, Ying Ding:
OWL Ontology Extraction from Relational Databases via Database Reverse Engineering. J. Softw. 8(11): 2749-2760 (2013) - [j45]Lili Lin, Zhuoming Xu, Ying Ding, Xiaozhong Liu:
Finding topic-level experts in scholarly networks. Scientometrics 97(3): 797-819 (2013) - [c38]Tamy Chambers, Sahil Shah, Ashish Urankar, Venkat Kalyan, Andrea Scharnhorst, Linda Reijnhoudt, Laura Rideour, Christophe Guéret, Ying Ding:
Bilingual researcher profiles: Modeling dutch researchers in both english and dutch using the VIVO ontology. ASIST 2013: 1-4 - [c37]