Yuan Zhang

Molecular Biology · with Wang · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 40 citations into it
• Materials Chemistry — 32 citations into it

Whom Yuan Zhang trusts overall

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

1. I. Samish
2. Geoffrey E. Hinton
3. Changyu Hu
4. Yann LeCun
5. Tanlin Sun
6. David Baker
7. M. Katsnelson
8. Alex Krizhevsky
9. Yoshua Bengio
10. Brian Kuhlman

Who trusts Yuan Zhang overall

1. Bowen Jing
2. Namrata Anand-Achim
3. Raphael R. Eguchi
4. Namrata Anand
5. Chloe Hsu
6. J. Dauparas

Papers from Yuan Zhang's perspective

Ordered by how strongly the researchers Yuan Zhang 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. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• ProDCoNN: Protein design using a convolutional neural network (2019) — 71 citations
• Graded intrafillable architecture-based iontronic pressure sensor with ultra-broad-range high sensitivity (2020) — 686 citations
• Study of reduced graphene oxide preparation by hummers’ method and related characterization (2015) — 299 citations