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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
- 2023
[j119]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)- [c81]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 - [c80]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 - [c79]Angelo Antonio Salatino, Yu 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 - [c78]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 - [e6]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] - [e5]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] - [i55]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) - [i54]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) - 2022
- [j118]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) - [j117]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) - [j116]Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry 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) - [j115]Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric 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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [c77]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 - [c76]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 - [c75]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 - [c74]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 - [c73]Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng:
Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI 2022: 288-296 - [c72]Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang:
Training Your Sparse Neural Network Better with Any Mask. ICML 2022: 9833-9844 - [c71]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 - [c70]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 - [c69]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 - [c68]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 - [c67]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
- [j109]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) - [j108]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) - [j107]Yujia Zhai, Ying Ding, Hezhao Zhang:
Innovation adoption: Broadcasting versus virality. J. Assoc. Inf. Sci. Technol. 72(4): 403-416 (2021) - [j106]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Partitioning highly, medium and lowly cited publications. J. Inf. Sci. 47(5) (2021) - [j105]Yong Huang, Yi Bu, Ying Ding, Wei Lu:
Exploring direct citations between citing publications. J. Inf. Sci. 47(5) (2021) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]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) - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]Baitong Chen, Qi Yu, Yi Bu, Ying Ding:
Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments. iConference (1) 2021: 137-145 - [c59]Ajay Jaiswal, Meijun Liu, Ying Ding:
Understanding Parachuting Collaboration. iConference (1) 2021: 183-189 - [c58]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 - [c57]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 - [c56]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 - [c55]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 - [e4]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 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
- [j99]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) - [j98]Qing Xie, Xinyuan Zhang, Ying Ding, Min Song:
Monolingual and multilingual topic analysis using LDA and BERT embeddings. J. Informetrics 14(3): 101055 (2020) - [j97]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) - [j96]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) - [c54]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
- [j95]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) - [j94]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) - [j93]James A. Hendler, Ying Ding, Barend Mons:
A Journal for Human and Machine. Data Intell. 1(1): 1-5 (2019) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [c53]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 - [c52]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
- [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]Yi Bu, Ying Ding, Xingkun Liang, Dakota S. Murray:
Understanding persistent scientific collaboration. J. Assoc. Inf. Sci. Technol. 69(3): 438-448 (2018) - [j80]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) - [j79]Yanhua Lv, Ying Ding, Min Song, Zhiguang Duan:
Topology-driven trend analysis for drug discovery. J. Informetrics 12(3): 893-905 (2018) - [j78]Yi Bu, Dakota S. Murray, Ying Ding, Yong Huang, Yiming Zhao:
Measuring the stability of scientific collaboration. Scientometrics 114(2): 463-479 (2018) - [j77]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) - [j76]Baitong Chen, Ying Ding, Feicheng Ma:
Semantic word shifts in a scientific domain. Scientometrics 117(1): 211-226 (2018) - [j75]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) - [j74]