--- title: "Qingyu Chen — author profile and papers — Elamur Research" description: "Qingyu Chen, National Institutes of Health: 2 papers on Elamur Research (2023–2024), h-index 42 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/qingyu-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qingyu-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qingyu Chen # Qingyu Chen Qingyu Chen has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Cheng Peng](https://md.research.elamur.ai/free/en/authors/cheng-peng/), [Jimin Huang](https://md.research.elamur.ai/free/en/authors/jimin-huang/), [Lingfei Qian](https://md.research.elamur.ai/free/en/authors/lingfei-qian/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5042874172) · [ORCID](https://orcid.org/0000-0002-6036-1516) · [Wikidata](https://www.wikidata.org/wiki/Q93178914) · [**h-index 42**](https://openalex.org/authors/A5042874172) · [241 works](https://openalex.org/works?filter=author.id:A5042874172) · [6,735 citations](https://openalex.org/works?filter=author.id:A5042874172&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qingyu-chen/#papers) · [🔗 Cited 151 times in our library](https://md.research.elamur.ai/free/en/authors/qingyu-chen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5261](https://md.research.elamur.ai/free/en/paper-stars/page/53/#star-5261) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qingyu+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qingyu+Chen) · [dblp](https://dblp.org/search?q=Qingyu+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Qingyu+Chen) ## Affiliations [🏛️**National Institutes of Health** Bethesda · United States 2018–2026 · 64 papersEmployment since 2018*current*](https://md.research.elamur.ai/free/en/government/national-institutes-of-health/) · [🎓**Yale University** New Haven · United States 2023–2026 · 56 papersEmployment since 2024 · Assistant Professor, Biomedical Informatics and Data Science*current*](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🔬**United States National Library of Medicine** Bethesda · United States 2021–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/labs/united-states-national-library-of-medicine/) · [🎓**Zhejiang University** Hangzhou · China 2009–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🔬**National Center for Biotechnology Information** Bethesda · United States 2018–2024 · 55 papers](https://md.research.elamur.ai/free/en/labs/national-center-for-biotechnology-information/) · [🎓**Wenzhou Medical University** Wenzhou · China 2011–2025 · 15 papers](https://ror.org/00rd5t069) · [🎓**The University of Melbourne** Melbourne · Australia 2014–2020 · 12 papersEmployment 2014–2018](https://md.research.elamur.ai/free/en/universities/the-university-of-melbourne/) · [🏥**Sun Yat-sen Memorial Hospital** Guangzhou · China 2010–2024 · 11 papers](https://ror.org/01px77p81) · [🎓**Sun Yat-sen University** Guangzhou · China 2010–2024 · 11 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🏥**Beijing Chao-Yang Hospital, Capital Medical University** Beijing · China 2022–2025 · 10 papers](https://ror.org/01eff5662) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 28 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/qingyu-chen/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/qingyu-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information](https://md.research.elamur.ai/free/en/papers/jin-2023-genegpt-augmenting-large-language-models/)** *(2023 · 223 citations)* Large language models often invent facts when asked about precise database content, such as gene aliases, SNP positions or sequence alignments. Commercial search engines rarely index this kind of knowledge. GeneGPT addresses the problem by letting Codex (code-davinci-002) query the NCBI Web APIs directly. 2. **[Me LLaMA: Foundation Large Language Models for Medical Applications](https://md.research.elamur.ai/free/en/papers/xie-2024-me-llama-foundation-large-language/)** *(2024 · 33 citations)* General-domain open LLMs such as LLaMA often lack specialized medical knowledge. Commercial systems like ChatGPT and GPT-4 are closed and hard to customize. Earlier open medical models seldom combined continual pre-training with instruction tuning, rarely drew on clinical notes and were evaluated mostly on QA. The… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Keep up with the latest coronavirus research ↗](https://doi.org/10.1038/d41586-020-00694-1) Nature · no summary yet**Qingyu Chen, Alexis Allot, Zhiyong Lu*2020 · 301 citations* 2. **[GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information](https://md.research.elamur.ai/free/en/papers/jin-2023-genegpt-augmenting-large-language-models/) [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/)**Qiao Jin, Yifan Yang, Qingyu Chen, et al.*2023 · 223 citations* 3. [**Me LLaMA: Foundation Large Language Models for Medical Applications arXiv:2402.12749**Qianqian Xie, Qingyu Chen, Aokun Chen, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-me-llama-foundation-large-language/) ## Co-authors here 10 co-authors with a page, the most papers together first. - [Cheng Peng](https://md.research.elamur.ai/free/en/authors/cheng-peng/) - [Jimin Huang](https://md.research.elamur.ai/free/en/authors/jimin-huang/) - [Lingfei Qian](https://md.research.elamur.ai/free/en/authors/lingfei-qian/) - [Qianqian Xie](https://md.research.elamur.ai/free/en/authors/qianqian-xie/) - [Qiao Jin](https://md.research.elamur.ai/free/en/authors/qiao-jin/) - [Xinyu Zhou](https://md.research.elamur.ai/free/en/authors/xinyu-zhou/) - [Xueqing Peng](https://md.research.elamur.ai/free/en/authors/xueqing-peng/) - [Yan Hu](https://md.research.elamur.ai/free/en/authors/yan-hu/) - [Yifan Yang](https://md.research.elamur.ai/free/en/authors/yifan-yang/) - [Zhiyong Lu](https://md.research.elamur.ai/free/en/authors/zhiyong-lu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Bioinformatics](https://md.research.elamur.ai/free/en/venues/bioinformatics/): [Bioinformatics 2023](https://md.research.elamur.ai/free/en/venues/bioinformatics/2023/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) - Nature ## Cited by Papers of our library cite their works 151 times (of the 149,439 papers whose bibliographies we read); [39 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qingyu-chen/cited-by/). Updated 31 October 2026