Tianfan Fu
Rensselaer Polytechnic Institute(US)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Topic Modeling, Machine Learning in Healthcare, Protein Structure and Dynamics
Most-Cited Works
- → Scientific discovery in the age of artificial intelligence(2023)1,448 cited
- → DeepPurpose: a deep learning library for drug–target interaction prediction(2020)451 cited
- → Artificial intelligence foundation for therapeutic science(2022)170 cited
- → Deep feature for text-dependent speaker verification(2015)153 cited
- → Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development(2021)145 cited
- → Machine learning-aided generative molecular design(2024)119 cited
- → Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization(2022)56 cited
- → Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems(2023)53 cited
- → HINT: Hierarchical interaction network for clinical-trial-outcome predictions(2022)49 cited
- → CORE: Automatic Molecule Optimization Using Copy & Refine Strategy(2020)43 cited