Baozhen Shan

Molecular Biology · 2011–2018

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 155 citations into it
• Spectroscopy — 114 citations into it

Whom Baozhen Shan trusts overall

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

1. Geoffrey E. Hinton
2. Joshua E. Elias

Papers from Baozhen Shan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Show and tell: A neural image caption generator
6. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification (2011) — 985 citations
• Protein Analysis by Shotgun/Bottom-up Proteomics (2013) — 1,388 citations
• De novo peptide sequencing by deep learning (2017) — 403 citations
• Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry (2018) — 323 citations