Yuquan Li
Guizhou University(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Bioinformatics and Genomic Networks, Metaheuristic Optimization Algorithms Research
Most-Cited Works
- → RetroPrime: A Diverse, plausible and Transformer-based method for Single-Step retrosynthesis predictions(2021)137 cited
- → TrimNet: learning molecular representation from triplet messages for biomedicine(2020)93 cited
- → An adaptive graph learning method for automated molecular interactions and properties predictions(2022)54 cited
- → A membrane algorithm with quantum-inspired subalgorithms and its application to image processing(2012)52 cited
- → Multi-objective ant colony optimization based on decomposition for bi-objective traveling salesman problems(2011)48 cited
- → Multi-modal deep learning enables efficient and accurate annotation of enzymatic active sites(2024)34 cited
- → Introducing block design in graph neural networks for molecular properties prediction(2021)31 cited
- → Pressure prediction and abnormal working conditions detection of water supply network based on LSTM(2020)30 cited
- → Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center(2023)25 cited
- → Improving drug-target affinity prediction via feature fusion and knowledge distillation(2023)22 cited