--- title: "Keyan Ding · Zhejiang Lab — author profile and papers" description: "Keyan Ding, Zhejiang Lab: 3 papers on Elamur Research (2024–2026), h-index 13 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/keyan-ding/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/keyan-ding/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Keyan Ding # Keyan Ding Keyan Ding has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Han Liu](https://md.research.elamur.ai/free/en/authors/han-liu/), [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/), [Kehua Feng](https://md.research.elamur.ai/free/en/authors/kehua-feng/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5032086683) · [ORCID](https://orcid.org/0000-0003-2900-7313) · [**h-index 13**](https://openalex.org/authors/A5032086683) · [73 works](https://openalex.org/works?filter=author.id:A5032086683) · [1,864 citations](https://openalex.org/works?filter=author.id:A5032086683&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/keyan-ding/#papers) · [🔗 Cited 64 times in our library](https://md.research.elamur.ai/free/en/authors/keyan-ding/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9441](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9441) 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=Keyan+Ding) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Keyan+Ding) · [dblp](https://dblp.org/search?q=Keyan+Ding) · [ACL Anthology](https://aclanthology.org/search/?q=Keyan+Ding) ## Affiliations [🎓**Zhejiang University** Hangzhou · China 2023–2026 · 40 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🔬**Zhejiang Lab** Hangzhou · China 2023–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/) · [🎓**Soochow University** Suzhou · China 2015–2018 · 6 papersEducation 2015–2018 · Master, School of Mechanical and Electrical Engineering](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🎓**City University of Hong Kong** Hong Kong · China 2019–2022 · 3 papersEducation until 2022Employment until 2022](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 11 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/keyan-ding/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/keyan-ding/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models](https://md.research.elamur.ai/free/en/papers/feng-2024-sciknoweval-evaluating-multi-level-scientific/)** *(2024 · 36 citations)* SciKnowEval is a benchmark for measuring how much scientific knowledge large language models hold and how well they use it. 2. **[MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules](https://md.research.elamur.ai/free/en/papers/xu-2026-molsafeeval-benchmark-uncovering-safety-risks/)** *(2026)* Benchmarks for molecular generative models usually reward novelty, task difficulty and property matching. They rarely check whether the generated compounds might be toxic, reactive or otherwise hazardous. The authors fill this gap with MolSafeEval. Its foundation is MolSafeKG, a knowledge graph that combines… 3. **[TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-tiger-text-informed-generalized-enzyme/)** *(2026)* TIGER addresses enzyme–reaction retrieval, a two-way matching task: given an enzyme, find the reactions it catalyzes, and given a reaction, find enzymes that could perform it. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Scientific Large Language Models: A Survey on Biological & Chemical Domains ↗](https://arxiv.org/abs/2401.14656) arXiv:2401.14656 · no summary yet**Qiang Zhang et al.*2024 · 154 citations* 2. [**SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models arXiv:2406.09098**Kehua Feng, Xinyi Shen, Weijie Wang, et al.*2024 · 36 citations*](https://md.research.elamur.ai/free/en/papers/feng-2024-sciknoweval-evaluating-multi-level-scientific/) 3. **[MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules](https://md.research.elamur.ai/free/en/papers/xu-2026-molsafeeval-benchmark-uncovering-safety-risks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Xu, Xinzhe Cao, Zhihui Zhu, et al.*2026* 4. **[TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval](https://md.research.elamur.ai/free/en/papers/zhang-2026-tiger-text-informed-generalized-enzyme/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuhang Zhang, Keyan Ding, Peilin Chen, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Han Liu](https://md.research.elamur.ai/free/en/authors/han-liu/) - [Huajun Chen](https://md.research.elamur.ai/free/en/authors/huajun-chen/) - [Kehua Feng](https://md.research.elamur.ai/free/en/authors/kehua-feng/) - [Qiang Zhang](https://md.research.elamur.ai/free/en/authors/qiang-zhang/) - [Shiqi Wang](https://md.research.elamur.ai/free/en/authors/shiqi-wang/) - [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/) - [Weijie Wang](https://md.research.elamur.ai/free/en/authors/weijie-wang/) - [Yuqi Tang](https://md.research.elamur.ai/free/en/authors/yuqi-tang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/keyan-ding/cited-by/). Updated 2 November 2026