Jingxue Wang

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 50 citations into it; #10,004 of 17,773 by trust here, #10,047 by citations
• Materials Chemistry — 19 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Computational Chemistry & Drug Discovery — 8 citations into it

Whom Jingxue Wang trusts overall

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

1. Andreas Mayr
2. Hongyi Zhou
3. Thomas Unterthiner
4. Mikhail A. Lomize
5. Nobuhiko Tokuriki
6. Youjun Xu
7. Günter Klambauer
8. Yaoqi Zhou
9. Peng Xiong
10. Lin Jiang

Who trusts Jingxue Wang overall

1. Xingjie Pan
2. Raquel Dias
3. Namrata Anand
4. Zhangyang Gao
5. Michael Jendrusch
6. John Ingraham
7. Bowen Jing
8. Yilun Du
9. Chloe Hsu
10. Tanja Kortemme

Papers from Jingxue Wang's perspective

Ordered by how strongly the researchers Jingxue Wang 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Computational Protein Design with Deep Learning Neural Networks (2018) — 179 citations