Qingyu Chen

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Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUC在 nih.gov 的電子郵件地址已通過驗證
Tiarnan D. L. KeenanStaff Clinician, National Eye Institute, National Institutes of Health在 nih.gov 的電子郵件地址已通過驗證
Emily ChewNational Eye Institute/National Institutes of Health在 nei.nih.gov 的電子郵件地址已通過驗證
Yifan PengAssociate Professor at Weill Cornell Medicine在 med.cornell.edu 的電子郵件地址已通過驗證
Yan HuUniversity of Texas Health Science Center at Houston在 uth.tmc.edu 的電子郵件地址已通過驗證
Qiao Jin, MDNational Institutes of Health在 nih.gov 的電子郵件地址已通過驗證
Wai T WongTiresias Biopharma Consulting在 Tiresiasbio.com 的電子郵件地址已通過驗證
Chih Hsuan WeiStaff Scientist, NCBI (National Center for Biotechnology Information) / NLM / NIH在 ncbi.nlm.nih.gov 的電子郵件地址已通過驗證
Xueqing PengYale University在 yale.edu 的電子郵件地址已通過驗證
Vipina K. KelothYale University在 yale.edu 的電子郵件地址已通過驗證
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT University在 rmit.edu.au 的電子郵件地址已通過驗證
Robert LeamanStaff Scientist, NCBI/NLM/NIH在 nih.gov 的電子郵件地址已通過驗證
Jingcheng Du, Ph.D.School of Biomedical Informatics, UTHealth在 uth.tmc.edu 的電子郵件地址已通過驗證
Justin ZobelComputing and Information Systems, University of Melbourne在 unimelb.edu.au 的電子郵件地址已通過驗證
Po-Ting LaiNational Center for Biotechnology Information (NCBI)在 ncbi.nlm.nih.gov 的電子郵件地址已通過驗證
Sun KimAmazon Alexa AI; National Center for Biotechnology Information (NCBI)在 amazon.com 的電子郵件地址已通過驗證
Rezarta IslamajNational Library of Medicine, National Institutes of在 nih.gov 的電子郵件地址已通過驗證
Lana YeganovaScientist, National Institutes of Health在 mail.nih.gov 的電子郵件地址已通過驗證
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale University在 yale.edu 的電子郵件地址已通過驗證
Shubo TIANNCBI在 nih.gov 的電子郵件地址已通過驗證

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Qingyu Chen

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

在 yale.edu 的電子郵件地址已通過驗證 - 首頁

Text mining Machine learning Data curation BioNLP Medical Imaging Analysis


標題按引用次數排序按年份排序按標題排序	引用次數引用次數	年份
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	497	2019
Keep up with the latest coronavirus research Q Chen, A Allot, Z Lu Nature 579 (7798), 193-193, 2020	333	2020
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	331	2019
LitCovid: an open database of COVID-19 literature Q Chen, A Allot, Z Lu Nucleic acids research 49 (D1), D1534-D1540, 2021	314	2021
BioSentVec: creating sentence embeddings for biomedical texts Q Chen, Y Peng, Z Lu 2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-5, 2019	222	2019
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	212	2024
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, ocad259, 2024	203*	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	172	2019
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
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	116	2024
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	85	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	76	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	73	2022
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	71	2019
Biocuration: distilling data into knowledge International Society for Biocuration PLoS Biology 16 (4), e2002846, 2018	63	2018
Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations Q Chen, J Du, Y Hu, VK Keloth, X Peng, K Raja, R Zhang, Z Lu, H Xu arXiv preprint arXiv:2305.16326, 2023	60*	2023
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	60	2020
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	60	2019
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	57	2021
LitSense: making sense of biomedical literature at sentence level A Allot, Q Chen, S Kim, R Vera Alvarez, DC Comeau, WJ Wilbur, Z Lu Nucleic acids research 47 (W1), W594-W599, 2019	57	2019

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