Youdong Mao

Structural Biology · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Structural Biology — 23 citations into it
• Molecular Biology — 20 citations into it
• Surfaces, Coatings and Films — 19 citations into it
• Computational Biology & Bioinformatics — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Materials Chemistry — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Youdong Mao trusts overall

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

1. Sjors H. W. Scheres
2. Joachim Frank
3. Geoffrey E. Hinton
4. Rasmus Berg Palm
5. Alex Krizhevsky
6. David E. Rumelhart

Papers from Youdong Mao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. A Fast Learning Algorithm for Deep Belief Nets
3. This PDF file includes: Materials and Methods
4. Learning representations by back-propagating errors
5. Best practices for convolutional neural networks applied to visual document analysis
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Handwritten Digit Recognition with a Back-Propagation Network
8. Attention is All you Need (Neural Information Processing Systems)
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• Structural mechanism for NEK7-licensed NLRP3 inflammasome activation (2019) — 645 citations
• A deep convolutional neural network approach to single-particle recognition in cryo-electron microscopy (2016) — 140 citations
• Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning (2016) — 40 citations