--- title: "Can Chen — author profile and papers — Elamur Research" description: "Can Chen, University of North Carolina at Chapel Hill: 2 papers on Elamur Research (2024–2025), h-index 29 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/can-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/can-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Can Chen # Can Chen Can Chen has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/), [Haolun Wu](https://md.research.elamur.ai/free/en/authors/haolun-wu/), [Kaikai Song](https://md.research.elamur.ai/free/en/authors/kaikai-song/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5100761812) · [ORCID](https://orcid.org/0000-0003-2310-0074) · [**h-index 29**](https://openalex.org/authors/A5100761812) · [181 works](https://openalex.org/works?filter=author.id:A5100761812) · [2,433 citations](https://openalex.org/works?filter=author.id:A5100761812&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/can-chen/#papers) · [🔗 Cited 23 times in our library](https://md.research.elamur.ai/free/en/authors/can-chen/cited-by/) · [⭐ Paper Stars ranking: #6944](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6944) 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=Can+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Can+Chen) · [dblp](https://dblp.org/search?q=Can+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Can+Chen) ## Affiliations [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2024–2026 · 26 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**Zhejiang University** Hangzhou · China 2016–2025 · 40 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏥**Brigham and Women's Hospital** Boston · United States 2022–2024 · 10 papers](https://md.research.elamur.ai/free/en/hospitals/brigham-and-women-s-hospital/) · [🎓**Harvard University** Cambridge · United States 2022–2024 · 10 papers](https://md.research.elamur.ai/free/en/universities/harvard-university/) · [🎓**University of Michigan** Ann Arbor · United States 2019–2022 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) · [🎓**National University of Singapore** Singapore · Singapore 2010–2015 · 8 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Honghe University** Wenlan · China 2006–2013 · 8 papers](https://ror.org/036prgm77) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2022–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Zhejiang Ocean University** Zhoushan · China 2018–2020 · 7 papers](https://ror.org/03mys6533) · [🎓**Northwest A&F University** Yangling · China 2015–2018 · 6 papers](https://ror.org/0051rme32) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 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 6 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/can-chen/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/can-chen/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Retrieval-Augmented Generation for Natural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/wu-2024-retrieval-augmented-generation-natural-language/)** *(2024 · 86 citations)* Large language models store knowledge implicitly in their weights. As a result, they can produce fluent but false answers, they need costly retraining to refresh facts, and they often lack depth in specialised domains. Retrieval-augmented generation (RAG) addresses these issues by consulting an external knowledge… 2. **[Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs](https://md.research.elamur.ai/free/en/papers/yin-2025-pangu-ultra-pushing-limits/)** *(2025 · 6 citations)* Pangu Ultra is Huawei's effort to show that a very deep dense Transformer, trained entirely on Ascend NPUs instead of GPUs, can compete with much larger sparse MoE systems. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/) - [Haolun Wu](https://md.research.elamur.ai/free/en/authors/haolun-wu/) - [Kaikai Song](https://md.research.elamur.ai/free/en/authors/kaikai-song/) - [Wei Guo](https://md.research.elamur.ai/free/en/authors/wei-guo/) - [Wenyong Huang](https://md.research.elamur.ai/free/en/authors/wenyong-huang/) - [Xiaojun Meng](https://md.research.elamur.ai/free/en/authors/xiaojun-meng/) - [Xue Liu](https://md.research.elamur.ai/free/en/authors/xue-liu/) - [Yaoyuan Wang](https://md.research.elamur.ai/free/en/authors/yaoyuan-wang/) - [Yasheng Wang](https://md.research.elamur.ai/free/en/authors/yasheng-wang/) - [Ye Yuan](https://md.research.elamur.ai/free/en/authors/ye-yuan/) - [Yehui Tang](https://md.research.elamur.ai/free/en/authors/yehui-tang/) - [Yichun Yin](https://md.research.elamur.ai/free/en/authors/yichun-yin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Artificial Intelligence Review](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/): [Artificial Intelligence Review 2024](https://md.research.elamur.ai/free/en/venues/artificial-intelligence-review/2024/) ## Cited by Papers of our library cite their works 23 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/can-chen/cited-by/). Updated 31 October 2026