Renyu Zhang

Molecular Biology · 2016

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 59 citations into it; #2,158 of 17,773 by trust here, #3,891 by citations
• Computational Biology & Bioinformatics — 51 citations into it; #200 of 660 by trust here, #240 by citations
• Materials Chemistry — 25 citations into it
• Artificial Intelligence — 9 citations into it
• Model Architectures — 7 citations into it

Whom Renyu Zhang trusts overall

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

1. Sheng Wang
2. Yang Zhang
3. Jianzhu Ma
4. Feng Zhao
5. Jinbo Xu
6. David T. Jones
7. Jeffrey Skolnick
8. Andriy Kryshtafovych
9. Alex Krizhevsky
10. Debora Marks

Who trusts Renyu Zhang overall

1. Sheng Wang
2. Badri Adhikari
3. Chunxiang Peng
4. Jinbo Xu
5. Z. Li
6. Xiaogen Zhou
7. Jin Li
8. Shaun M. Kandathil

Papers from Renyu Zhang's perspective

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

1. Going deeper with convolutions
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Protein 3D Structure Computed from Evolutionary Sequence Variation
4. Scoring function for automated assessment of protein structure template quality
5. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments
6. ImageNet classification with deep convolutional neural networks
7. Assessing the utility of coevolution-based residue–residue contact predictions in a sequence- and structure-rich era
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Protein structure prediction from sequence variation
10. Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models.

Their papers

• Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model (2016) — 873 citations
• CoinFold: a web server for protein contact prediction and contact-assisted protein folding (2016) — 60 citations