Qingyu Chen

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Zhiyong LuDeputy Director for Literature Search, NCBI; Senior Investigator, NLM; Adjunct Professor of CS, UIUCVerified email at nih.gov
Emily ChewNational Eye Institute/National Institutes of HealthVerified email at nei.nih.gov
Yifan PengAssistant Professor at Weill Cornell MedicineVerified email at med.cornell.edu
Tiarnan D. L. KeenanStaff Clinician, National Eye Institute, National Institutes of HealthVerified email at nih.gov
Wai T WongTiresias Biopharma ConsultingVerified email at Tiresiasbio.com
Chih Hsuan WeiStaff Scientist, NCBI (National Center for Biotechnology Information) / NLM / NIHVerified email at ncbi.nlm.nih.gov
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT UniversityVerified email at rmit.edu.au
W John WilburSenior scientist, National Center for Biotechnology InformationVerified email at ncbi.nlm.nih.gov
Jingcheng Du, Ph.D.School of Biomedical Informatics, UTHealthVerified email at uth.tmc.edu
Robert LeamanStaff Scientist, NCBI/NLM/NIHVerified email at nih.gov
Qiao JinNational Institutes of HealthVerified email at nih.gov
Justin ZobelComputing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Sun KimAmazon Alexa AI; National Center for Biotechnology Information (NCBI)Verified email at amazon.com
Vipina K. KelothYale UniversityVerified email at yale.edu
Rezarta IslamajNational Center for Biotechnology Information, National Library of Medicine, National Institutes ofVerified email at nih.gov
Po-Ting LaiNational Center for Biotechnology Information (NCBI)Verified email at ncbi.nlm.nih.gov
Yan HuUniversity of Texas Health Science Center at HoustonVerified email at uth.tmc.edu
Lana YeganovaScientist, National Institutes of HealthVerified email at mail.nih.gov
Xueqing PengYale UniversityVerified email at yale.edu
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


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	462	2019
Keep up with the latest coronavirus research Q Chen, A Allot, Z Lu Nature 579 (7798), 193-193, 2020	320	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	310	2019
LitCovid: an open database of COVID-19 literature Q Chen, A Allot, Z Lu Nucleic acids research 49 (D1), D1534-D1540, 2021	300	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	207	2019
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	159	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	118	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	107	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	78	2024
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	71	2021
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	61	2018
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	58	2022
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	54	2019
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	53	2019
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	53	2019
Duplicates, redundancies and inconsistencies in the primary nucleotide databases: a descriptive study Q Chen, J Zobel, K Verspoor Database 2017, baw163, 2017	53	2017
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	50	2024
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	50	2020
BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale Q Chen, K Lee, S Yan, S Kim, CH Wei, Z Lu PLoS computational biology 16 (4), e1007617, 2020	50	2020

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