Qingyu Chen

Dikutip oleh

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Kutipan	4575	4380
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65 artikel

3 artikel

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Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCEmail yang diverifikasi di nih.gov
Tiarnan D. L. KeenanStaff Clinician, National Eye Institute, National Institutes of HealthEmail yang diverifikasi di nih.gov
Emily ChewNational Eye Institute/National Institutes of HealthEmail yang diverifikasi di nei.nih.gov
Yifan PengAssociate Professor at Weill Cornell MedicineEmail yang diverifikasi di med.cornell.edu
Yan HuUniversity of Texas Health Science Center at HoustonEmail yang diverifikasi di uth.tmc.edu
Qiao Jin, MDNational Institutes of HealthEmail yang diverifikasi di nih.gov
Wai T WongTiresias Biopharma ConsultingEmail yang diverifikasi di Tiresiasbio.com
Chih Hsuan WeiStaff Scientist, NCBI (National Center for Biotechnology Information) / NLM / NIHEmail yang diverifikasi di ncbi.nlm.nih.gov
Xueqing PengYale UniversityEmail yang diverifikasi di yale.edu
Vipina K. KelothYale UniversityEmail yang diverifikasi di yale.edu
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT UniversityEmail yang diverifikasi di rmit.edu.au
Jingcheng Du, Ph.D.School of Biomedical Informatics, UTHealthEmail yang diverifikasi di uth.tmc.edu
Robert LeamanStaff Scientist, NCBI/NLM/NIHEmail yang diverifikasi di nih.gov
Justin ZobelComputing and Information Systems, University of MelbourneEmail yang diverifikasi di unimelb.edu.au
Po-Ting LaiNational Center for Biotechnology Information (NCBI)Email yang diverifikasi di ncbi.nlm.nih.gov
Sun KimAmazon Alexa AI; National Center for Biotechnology Information (NCBI)Email yang diverifikasi di amazon.com
Rezarta IslamajNational Library of Medicine, National Institutes ofEmail yang diverifikasi di nih.gov
Lana YeganovaScientist, National Institutes of HealthEmail yang diverifikasi di mail.nih.gov
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityEmail yang diverifikasi di yale.edu
Shubo TIANNCBIEmail yang diverifikasi di nih.gov

Ikuti

Qingyu Chen

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

Email yang diverifikasi di yale.edu - Beranda

Text mining Machine learning Data curation BioNLP Medical Imaging Analysis


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	501	2019
Keep up with the latest coronavirus research Q Chen, A Allot, Z Lu Nature 579 (7798), 193-193, 2020	334	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	333	2019
LitCovid: an open database of COVID-19 literature Q Chen, A Allot, Z Lu Nucleic acids research 49 (D1), D1534-D1540, 2021	315	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	224	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	215	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	212*	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	88	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	77	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	74	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	64	2018
A systematic evaluation of large language models for biomedical natural language processing: benchmarks, baselines, and recommendations arXiv preprint arXiv:2305.16326, 2024	62*	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	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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