Shigenori Tanaka

Molecular Biology · 2013–2022

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 52 citations into it; #10,084 of 17,773 by trust here, #16,150 by citations
• Computational Theory and Mathematics — 39 citations into it; #8,288 of 12,182 by trust here, #9,306 by citations
• Computational Chemistry & Drug Discovery — 20 citations into it
• Materials Chemistry — 18 citations into it
• Computational Biology & Bioinformatics — 15 citations into it
• Generative Models — 10 citations into it
• Organic Chemistry — 9 citations into it
• Artificial Intelligence — 8 citations into it

Whom Shigenori Tanaka trusts overall

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

1. Diederik P. Kingma
2. Robert Abel
3. Michael M. Mysinger
4. Zhihai Liu
5. W. L. Jorgensen
6. Helen M. Berman
7. Garrett M. Morris
8. J. Word
9. Jonathan Ho
10. Yang Zhang

Who trusts Shigenori Tanaka overall

1. Jérôme Eberhardt

Papers from Shigenori Tanaka's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• AutoDock-GIST: Incorporating Thermodynamics of Active-Site Water into Scoring Function for Accurate Protein-Ligand Docking (2016) — 45 citations
• End-to-end protein–ligand complex structure generation with diffusion-based generative models (2022) — 53 citations
• Electroweak measurements in electron positron collisions at W-boson-pair energies at LEP (2013) — 729 citations