🧑‍🔬 Keyan Ding

🏛️ Affiliations

🎓Zhejiang UniversityHangzhou · China2023–2026 · 40 paperscurrent🔬Zhejiang LabHangzhou · China2023–2026 · 2 paperscurrent🎓Soochow UniversitySuzhou · China2015–2018 · 6 papersEducation 2015–2018 · Master, School of Mechanical and Electrical Engineering🎓City University of Hong KongHong Kong · China2019–2022 · 3 papersEducation until 2022Employment until 2022

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models (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 (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 (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 ↗arXiv:2401.14656 · no summary yetQiang Zhang et al.2024 · 154 citations
2. SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language ModelsarXiv:2406.09098Kehua Feng, Xinyi Shen, Weijie Wang, et al.2024 · 36 citations
3. MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated MoleculesFindings of the Association for Computational LinguisticsTong Xu, Xinzhe Cao, Zhihui Zhu, et al.2026
4. TIGER: Text-Informed Generalized Enzyme-Reaction RetrievalAnnual Meeting of the Association for Computational Linguistics (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
• Huajun Chen
• Kehua Feng
• Qiang Zhang
• Shiqi Wang
• Tong Xu
• Weijie Wang
• 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): ACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 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 →.

Updated 2 November 2026

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