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Tianfan Fu — most-cited papers & profile · AI for Science
← authors
·
overview
Tianfan Fu
26
papers ·
169
citations ·
20
h-index
Rensselaer Polytechnic Institute
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems
2023 · 54 citations
Reinforced Genetic Algorithm for Structure-based Drug Design
2022 · 28 citations
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
2022 · 27 citations
Differentiable Scaffolding Tree for Molecular Optimization
2021 · 20 citations
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
2020 · 11 citations
MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning
2020 · 7 citations
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction
2024 · 5 citations
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy
2019 · 3 citations
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design
2024 · 3 citations
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
2024 · 3 citations
Compositional Representation of Polymorphic Crystalline Materials
2023 · 2 citations
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
2025 · 1 citations
ChemMLLM: Chemical Multimodal Large Language Model
2025 · 1 citations
Molecular De Novo Design through Transformer-based Reinforcement Learning
2023 · 1 citations
Protein-Mamba: Biological Mamba Models for Protein Function Prediction
2024 · 1 citations
Top co-authors
Jimeng Sun
· 10
Cao Xiao
· 4
Connor W. Coley
· 3
Marinka Zitnik
· 3
Gyoung S. Na
· 2
Heewoong Noh
· 2
Lucas M. Glass
· 2
Minkai Xu
· 2
Namkyeong Lee
· 2
Wenhao Gao
· 2
Yingzhou Lu
· 2
Yuanqi Du
· 2
Topics
Drug Discovery
Chemistry
Protein Science
Materials
Medical AI
Physics ML
Genomics
Climate & Weather