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Keyan Ding — most-cited papers & profile · AI for Science
← authors
·
overview
Keyan Ding
8
papers ·
24
citations ·
0
h-index
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Most-cited papers
Graph Sampling-based Meta-Learning for Molecular Property Prediction
2023 · 10 citations
Learning Invariant Molecular Representation in Latent Discrete Space
2023 · 5 citations
Embodied Science: Closing the Discovery Loop with Agentic Embodied AI
2026
Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra
2025
Knowledge-Augmented Long-CoT Generation for Complex Biomolecular Reasoning
2025
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
2025
KEPLA: A Knowledge-Enhanced Deep Learning Framework for Accurate Protein-Ligand Binding Affinity Prediction
2025
Top co-authors
Xiang Zhuang
· 5
Qiang Zhang
· 4
Huajun Chen
· 3
Huajun Chen
· 2
Kehua Feng
· 2
Bin Wu
· 1
Chenyi Zhou
· 1
Dapeng Wu
· 1
Han Liu
· 1
Haofen Wang
· 1
Hongyang Chen
· 1
Huajun Chen
· 1
Topics
Drug Discovery
Chemistry
Protein Science
Genomics
Medical AI