Ying Ding

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 139

Top Venues

CoRR

J. Assoc. Inf. Sci. Technol.

J. Informetrics

Scientometrics

Publications

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)
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) (2024)
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)
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) (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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) (2024)
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 (2024)
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) (2023)
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)
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 (2023)
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)
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)
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)
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 (2023)
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)
Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang
Vision HGNN: An Image is More than a Graph of Nodes. ICCV (2023)
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. 46 (2) (2023)
Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. ICML (2023)
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)
Ajay Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication. CoRR (2023)
Meijun Liu, Yi Bu, Daifeng Li, Ying Ding, Daniel E. Acuna
Effects of Same-Race Mentorship Preferences on Academic Performance and Survival. CoRR (2023)
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) (2023)
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)
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 (2023)
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)
Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric Meyer, Ying Ding
The Impact of Heterogeneous Shared Leadership in Scientific Teams. CoRR (2023)
Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Ka-mesh Peri, Griffin M. Weber, Ying Ding
Disparity in the Evolving COVID-19 Collaboration Network. CoRR (2023)
Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng
Trustworthy assertion classification through prompting. J. Biomed. Informatics 132 (2022)
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) (2022)
Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng
Prior Knowledge Enhances Radiology Report Generation. CoRR (2022)
Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng
Radiology Text Analysis System (RadText): Architecture and Evaluation. CoRR (2022)
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 (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)
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 (2022)
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)
Tongyang Zhang, Jiexun Wu, Zhiwei Ye, Ying Ding, Jian Xu
Cross-Regional Analysis of the Aging Phenomenon of Biomedical Scholars. iConference (1) (2022)
Ajay Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
Training Your Sparse Neural Network Better with Any Mask. CoRR (2022)
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)
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) (2022)
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 (2022)
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)
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) (2022)
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 (2022)
Chao Lu, Chenwei Zhang, Chengrui Xiao, Ying Ding
Contributorship in scientific collaborations: The perspective of contribution-based byline orders. Inf. Process. Manag. 59 (3) (2022)
Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng
Radiology Text Analysis System (RadText): Architecture and Evaluation. ICHI (2022)
Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang
Training Your Sparse Neural Network Better with Any Mask. ICML (2022)
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)
Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng
EchoGen: Generating Conclusions from Echocardiogram Notes. BioNLP@ACL (2022)
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 (2022)
Yujia Zhai, Alec McGail, Ying Ding
Elapsed Collective Memory: Looking for the Forgotten Classic Works in Library and Information Science. iConference (1) (2022)
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)
Yong Huang, Yi Bu, Ying Ding, Wei Lu
Partitioning highly, medium and lowly cited publications. J. Inf. Sci. 47 (5) (2021)
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 (2021)
Yujia Zhai, Ying Ding, Hezhao Zhang
Innovation adoption: Broadcasting vs. Virality. CoRR (2021)
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)
Xuli Tang, Xin Li, Ying Ding, Feicheng Ma
Understanding Team Collaboration in Artificial Intelligence from the Perspective of Geographic Distance. iConference (1) (2021)
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 (2021)
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)
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 (2021)
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) (2021)
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) (2021)
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 (2021)
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) (2021)
Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng
Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning. CoRR (2021)
Lianjie Xiao, Weiwei Jiang, Kai Qin, Ying Ding
Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues. iConference (1) (2021)
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)
Yong Huang, Yi Bu, Ying Ding, Wei Lu
Exploring direct citations between citing publications. J. Inf. Sci. 47 (5) (2021)
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) (2021)
Baitong Chen, Qi Yu, Yi Bu, Ying Ding
Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments. iConference (1) (2021)
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) (2021)
Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin Rousseau, Yifan Peng, Ying Ding
RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification. CoRR (2021)
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) (2021)
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)
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) (2021)
Yujia Zhai, Ying Ding, Hezhao Zhang
Innovation adoption: Broadcasting versus virality. J. Assoc. Inf. Sci. Technol. 72 (4) (2021)
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)
Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding
Coronavirus Knowledge Graph: A Case Study. CoRR (2020)
Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia
The Gene of Scientific Success. ACM Trans. Knowl. Discov. Data 14 (4) (2020)
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 (2020)
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 (2020)
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)
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 (2020)
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 (2020)
Xuli Tang, Xin Li, Ying Ding, Feicheng Ma
Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance. CoRR (2020)
Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR (2020)
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 (2020)
Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu
The Pace of Artificial Intelligence Innovations: Speed, Talent, and Trial-and-Error. CoRR (2020)
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) (2020)
Qing Xie, Xinyuan Zhang, Ying Ding, Min Song
Monolingual and multilingual topic analysis using LDA and BERT embeddings. J. Informetrics 14 (3) (2020)
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 (2020)
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 (2019)
James A. Hendler, Ying Ding, Barend Mons
A Journal for Human and Machine. Data Intell. 1 (1) (2019)
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 (2019)
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) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ying Ding