Jianfeng Pei

Molecular Biology · 2013–2022

A researcher in the Science corpus: 9 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 105 citations into it; #13,687 of 17,773 by trust here, #7,574 by citations
• Computational Theory and Mathematics — 84 citations into it; #10,514 of 12,182 by trust here, #2,104 by citations
• Computational Chemistry & Drug Discovery — 42 citations into it
• Pharmacology — 15 citations into it; #804 of 1,112 by trust here, #451 by citations

Whom Jianfeng Pei trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton

Who trusts Jianfeng Pei overall

1. Shiwei Wang
2. Youjun Xu

Papers from Jianfeng Pei's perspective

Ordered by how strongly the researchers Jianfeng Pei trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Deep Learning for Drug-Induced Liver Injury (2015) — 324 citations
• Transfer Learning for Drug Discovery. (2020) — 307 citations
• Binding site detection and druggability prediction of protein targets for structure-based drug design. (2013) — 172 citations
• CavityPlus: a web server for protein cavity detection with pharmacophore modelling, allosteric site identification and covalent ligand binding ability prediction (2018) — 342 citations
• Sequence-based prediction of protein protein interaction using a deep-learning algorithm (2017) — 341 citations
• Structure-based de novo drug design using 3D deep generative models (2021) — 150 citations
• CavitySpace: A Database of Potential Ligand Binding Sites in the Human Proteome (2022) — 29 citations
• De Novo Design of Multitarget Ligands with an Iterative Fragment-Growing Strategy (2014) — 54 citations
• PharmMapper 2017 update: a web server for potential drug target identification with a comprehensive target pharmacophore database (2017) — 1,362 citations