Chen, Qingyu

BioWordVec, improving biomedical word embeddings with subword information and MeSH

Zhang, Y., Chen, Q., Yang, Z., Lin, H., & Lu, Z. (2019) · Scientific Data

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 455

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

Tian, S., Jin, Q., Yeganova, L., Lai, P.-T., Zhu, Q., Chen, X., Yang, Y., Chen, Q., Kim, W., Comeau, D. C., et al. (2023) · Briefings in Bioinformatics

Artificial Intelligence in Healthcare and EducationBiomedical Text Mining and Ontologies

Cited by 359

Improving large language models for clinical named entity recognition via prompt engineering

Hu, Y., Chen, Q., Du, J., Peng, X., Keloth, V. K., Zuo, X., Zhou, Y., Li, Z., Jiang, X., Lu, Z., et al. (2024) · Journal of the American Medical Informatics Association

Topic ModelingBiomedical Text Mining and Ontologies

Cited by 314

Keep up with the latest coronavirus research

Chen, Q., Allot, A., & Lu, Z. (2020) · Nature

Academic Publishing and Open AccessSARS-CoV-2 and COVID-19 Research

Cited by 295

LitCovid: an open database of COVID-19 literature

Chen, Q., Allot, A., & Lu, Z. (2021) · Nucleic Acids Research

Academic Publishing and Open AccessBiomedical Text Mining and Ontologies

Cited by 253

Benchmarking large language models for biomedical natural language processing applications and recommendations

Chen, Q., Hu, Y., Peng, X., Xie, Q., Jin, Q., Gilson, A., Singer, M. B., Ai, X., Lai, P.-T., Wang, Z., et al. (2025) · Nature Communications

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 219

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

Jin, Q., Yang, Y., Chen, Q., & Lu, Z. (2024) · Bioinformatics

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 176

MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval

Jin, Q., Kim, W., Chen, Q., Comeau, D. C., Yeganova, L., Wilbur, W. J., & Lu, Z. (2023) · Bioinformatics

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 175

Advancing entity recognition in biomedicine via instruction tuning of large language models

Keloth, V. K., Hu, Y., Xie, Q., Peng, X., Wang, Y., Zheng, A., Selek, M., Raja, K., Wei, C. H., Jin, Q., et al. (2024) · Bioinformatics

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 104

Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial

Wan, P., Huang, Z., Tang, W., Nie, Y., Pei, D., Deng, S., Chen, J., Zhou, Y., Duan, H., Chen, Q., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationAI in Service Interactions

Cited by 97

Medical foundation large language models for comprehensive text analysis and beyond

Xie, Q., Chen, Q., Chen, A., Peng, C., Hu, Y., Lin, F., Peng, X., Huang, J., Zhang, J., Keloth, V., et al. (2025) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 74

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

Chen, Q., Lee, K., Yan, S., Kim, S., Wei, C.-H., & Lu, Z. (2020) · PLOS Computational Biology

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 62

LitSuggest: a web-based system for literature recommendation and curation using machine learning

Allot, A., Lee, K., Chen, Q., Luo, L., & Lu, Z. (2021) · Nucleic Acids Research

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 61

Social determinants of health extraction from clinical notes across institutions using large language models

Keloth, V. K., Selek, S., Chen, Q., Gilman, C., Fu, S., Dang, Y., Chen, X., Hu, X., Zhou, Y., He, H., et al. (2025) · npj Digital Medicine

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 24

Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records

Chen, Q., Du, J., Kim, S., Wilbur, W. J., & Lu, Z. (2020) · BMC Medical Informatics and Decision Making

Topic ModelingMachine Learning in Healthcare

Cited by 19

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study

Yang, R., Zeng, Q., You, K., Qiao, Y., Huang, L., Hsieh, C.-C., Rosand, B., Goldwasser, J., Dave, A., Keenan, T., et al. (2024) · Journal of Medical Internet Research

Topic ModelingNatural Language Processing Techniques

Cited by 16

DeepSeek is open-access and the next AI disrupter for radiology

Peng, Y., Chen, Q., & Shih, G. (2025) · Radiology Advances

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 15

Me LLaMA: Foundation Large Language Models for Medical Applications

Xie, Q., Chen, Q., Chen, A., Peng, C., Hu, Y., Lin, F., Peng, X., Huang, J., Zhang, J., Keloth, V., et al. (2024) · arXiv

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 8

KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques

Yang, R., Liu, H., Marrese-Taylor, E., Zeng, Q., Ke, Y. H., Li, W., Cheng, L., Chen, Q., Caverlee, J., Matsuo, Y., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 5