Qingyu Chen

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Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCVerified email at nih.gov
Emily ChewNational Eye Institute/National Institutes of HealthVerified email at nei.nih.gov
Tiarnan D. L. KeenanStaff Clinician, National Eye Institute, National Institutes of HealthVerified email at nih.gov
Yifan PengAssociate Professor at Weill Cornell MedicineVerified email at med.cornell.edu
Yan HuUniversity of Texas Health Science Center at HoustonVerified email at uth.tmc.edu
Qiao Jin, MDNational Institutes of HealthVerified email at nih.gov
Wai T WongTiresias Biopharma ConsultingVerified email at Tiresiasbio.com
Xueqing PengYale UniversityVerified email at yale.edu
Chih Hsuan WeiStaff Scientist, NCBI (National Center for Biotechnology Information) / NLM / NIHVerified email at ncbi.nlm.nih.gov
Jingcheng Du, Ph.D.School of Biomedical Informatics, UTHealthVerified email at uth.tmc.edu
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
Robert LeamanStaff Scientist, NCBI/NLM/NIHVerified email at nih.gov
Po-Ting LaiNational Center for Biotechnology Information (NCBI)Verified email at ncbi.nlm.nih.gov
Justin ZobelComputing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Rezarta IslamajNational Library of Medicine, National Institutes ofVerified email at nih.gov
Sun KimAmazon Alexa AI; National Center for Biotechnology Information (NCBI)Verified email at amazon.com
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityVerified email at yale.edu
Lana YeganovaScientist, National Institutes of HealthVerified email at mail.nih.gov
Shubo TIANNCBIVerified email at nih.gov
catherine cukrasNational Eye Institute, NIHVerified email at nei.nih.gov

Qingyu Chen

Biomedical Informatics & Data Science, Yale University; NCBI-NLM, National Institutes of Health

Verified email at yale.edu - Homepage

Text mining Machine learning Data curation BioNLP Medical Imaging Analysis


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BioWordVec, improving biomedical word embeddings with subword information and MeSH Y Zhang, Q Chen, Z Yang, H Lin, Z Lu Scientific data 6 (1), 52, 2019	510	2019
DeepSeeNet: a deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs Y Peng, S Dharssi, Q Chen, TD Keenan, E Agrón, WT Wong, EY Chew, ... Ophthalmology 126 (4), 565-575, 2019	336	2019
Keep up with the latest coronavirus research Q Chen, A Allot, Z Lu Nature 579 (7798), 193-193, 2020	330	2020
LitCovid: an open database of COVID-19 literature Q Chen, A Allot, Z Lu Nucleic acids research 49 (D1), D1534-D1540, 2021	320	2021
Opportunities and challenges for ChatGPT and large language models in biomedicine and health S Tian, Q Jin, L Yeganova, PT Lai, Q Zhu, X Chen, Y Yang, Q Chen, ... Briefings in Bioinformatics 25 (1), bbad493, 2024	237	2024
BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019	232	2019
Improving large language models for clinical named entity recognition via prompt engineering Y Hu, Q Chen, J Du, X Peng, VK Keloth, X Zuo, Y Zhou, Z Li, X Jiang, Z Lu, ... Journal of the American Medical Informatics Association 31 (9), 1812-1820, 2024	228*	2024
ML-Net: multi-label classification of biomedical texts with deep neural networks J Du, Q Chen, Y Peng, Y Xiang, C Tao, Z Lu Journal of the American Medical Informatics Association 26 (11), 1279-1285, 2019	170	2019
Genegpt: Augmenting large language models with domain tools for improved access to biomedical information Q Jin, Y Yang, Q Chen, Z Lu Bioinformatics 40 (2), btae075, 2024	127	2024
An empirical study of multi-task learning on BERT for biomedical text mining Y Peng, Q Chen, Z Lu arXiv preprint arXiv:2005.02799, 2020	117	2020
Medcpt: Contrastive pre-trained transformers with large-scale pubmed search logs for zero-shot biomedical information retrieval Q Jin, W Kim, Q Chen, DC Comeau, L Yeganova, WJ Wilbur, Z Lu Bioinformatics 39 (11), btad651, 2023	102	2023
Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing Q Chen, R Leaman, A Allot, L Luo, CH Wei, S Yan, Z Lu Annual review of biomedical data science 4 (1), 313-339, 2021	80	2021
Predicting myocardial infarction through retinal scans and minimal personal information A Diaz-Pinto, N Ravikumar, R Attar, A Suinesiaputra, Y Zhao, E Levelt, ... Nature Machine Intelligence 4 (1), 55-61, 2022	78	2022
A systematic evaluation of large language models for biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, Y Hu, X Peng, Q Xie, Q Jin, A Gilson, MB Singer, X Ai, PT Lai, ... arXiv preprint arXiv:2305.16326, 2023	71*	2023
A deep learning approach for automated detection of geographic atrophy from color fundus photographs TD Keenan, S Dharssi, Y Peng, Q Chen, E Agrón, WT Wong, Z Lu, ... Ophthalmology 126 (11), 1533-1540, 2019	70	2019
Biocuration: distilling data into knowledge International Society for Biocuration PLoS Biology 16 (4), e2002846, 2018	67	2018
A multi-task deep learning model for the classification of Age-related Macular Degeneration Q Chen, Y Peng, T Keenan, S Dharssi, E Agro, W Wai, E Chew, Z Lu AMIA Summits on Translational Science Proceedings 2019, 505, 2019	64	2019
Predicting risk of late age-related macular degeneration using deep learning Y Peng, TD Keenan, Q Chen, E Agrón, A Allot, WT Wong, EY Chew, Z Lu NPJ digital medicine 3 (1), 111, 2020	61	2020
LitSuggest: a web-based system for literature recommendation and curation using machine learning A Allot, K Lee, Q Chen, L Luo, Z Lu Nucleic acids research 49 (W1), W352-W358, 2021	60	2021
Overview of the BioCreative VI Precision Medicine Track: mining protein interactions and mutations for precision medicine R Islamaj Doğan, S Kim, A Chatr-Aryamontri, CH Wei, DC Comeau, ... Database 2019, bay147, 2019	57	2019

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