--- title: "Zhibin Chen — author profile and papers — Elamur Research" description: "Zhibin Chen, New York University Shanghai: 2 papers on Elamur Research (2023–2026), h-index 28 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/zhibin-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhibin-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhibin Chen # Zhibin Chen Zhibin Chen has 2 papers in our library, in 2023–2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Chen Zhang](https://md.research.elamur.ai/free/en/authors/chen-zhang/), [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/), [Mingxu Tao](https://md.research.elamur.ai/free/en/authors/mingxu-tao/). 2 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5100604104) · [ORCID](https://orcid.org/0000-0002-5425-6189) · [**h-index 28**](https://openalex.org/authors/A5100604104) · [139 works](https://openalex.org/works?filter=author.id:A5100604104) · [3,065 citations](https://openalex.org/works?filter=author.id:A5100604104&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhibin-chen/#papers) · [🔗 Cited 123 times in our library](https://md.research.elamur.ai/free/en/authors/zhibin-chen/cited-by/) · [⭐ Paper Stars ranking: #6939](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6939) 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=Zhibin+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhibin+Chen) · [dblp](https://dblp.org/search?q=Zhibin+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Zhibin+Chen) ## Affiliations [🎓**New York University Shanghai** Shanghai · China 2019–2026 · 54 papers*current*](https://md.research.elamur.ai/free/en/universities/new-york-university-shanghai/) · [🏢**China Tobacco Guangxi Industrial** Nanning · China 2022–2026 · 4 papers*current*](https://ror.org/00fzs3g26) · [🎓**Henan Polytechnic University** Jiaozuo · China 2026 · 1 paper*current*](https://ror.org/05vr1c885) · [🎓**University of Science and Technology Beijing** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🎓**University of Florida** Gainesville · United States 2015–2017 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-florida/) · [🎓**Guangdong University of Technology** Guangzhou · China 2005–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/guangdong-university-of-technology/) · [🎓**Southeast University** Nanjing · China 2018–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/) · [🎓**Kunming University of Science and Technology** Kunming · China 2019–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/kunming-university-of-science-and-technology/) · [🎓**Sanming University** Sanming · China 2009–2010 · 6 papers](https://ror.org/044pany34) · [🎓**University of Michigan** Ann Arbor · United States 2018–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-michigan/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 22 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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) 🧭 Topics 1 Research subjects and languages the work is about.[Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhibin-chen/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhibin-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Lawyer LLaMA Technical Report](https://md.research.elamur.ai/free/en/papers/huang-2023-lawyer-llama-technical-report/)** *(2023 · 157 citations)* General-purpose LLMs such as Chinese-LLaMA perform poorly on legal questions. They lack specific legal facts, such as the minimum marriage age in China, and even when given the relevant statute they fail to reason from it correctly. The authors propose a three-stage recipe for domain adaptation and use it to build… 2. **[AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery](https://md.research.elamur.ai/free/en/papers/li-2026-autosota-end-end-automated-research/)** *(2026 · 5 citations)* Pushing a published AI method beyond its reported results usually takes months of manual work. Researchers must find the code and data, get the repository running, reproduce the baseline, and only then try improvements. AutoSOTA automates this entire chain, starting from a paper and ending with an improved, runnable… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Chen Zhang](https://md.research.elamur.ai/free/en/authors/chen-zhang/) - [Chenyang Shao](https://md.research.elamur.ai/free/en/authors/chenyang-shao/) - [Mingxu Tao](https://md.research.elamur.ai/free/en/authors/mingxu-tao/) - [Yansong Feng](https://md.research.elamur.ai/free/en/authors/yansong-feng/) - [Yi Fang](https://md.research.elamur.ai/free/en/authors/yi-fang/) - [Yu Li](https://md.research.elamur.ai/free/en/authors/yu-li/) ## Cited by Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhibin-chen/cited-by/). Updated 2 November 2026