Shuo Zhang

Materials Chemistry · with Liu · 2022

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 23 citations into it
• Computational Theory and Mathematics — 21 citations into it
• Molecular Biology — 13 citations into it
• Computational Chemistry & Drug Discovery — 11 citations into it
• Graph Learning — 9 citations into it
• Artificial Intelligence — 5 citations into it

Whom Shuo Zhang trusts overall

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

1. Axel D. Becke
2. Kristof T. Schütt
3. Johannes Klicpera
4. Steven M. Kearnes
5. Kenneth Atz
6. Oliver T. Unke
7. Fabian B. Fuchs
8. Renxiao Wang
9. Justin Gilmer
10. Thomas Kipf

Papers from Shuo Zhang's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)

Their papers

• Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes (2022) — 13 citations