Jiahua Rao

Molecular Biology · 2022

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 60 citations into it
• Computational Theory and Mathematics — 40 citations into it
• Materials Chemistry — 25 citations into it
• Computational Biology & Bioinformatics — 24 citations into it

Whom Jiahua Rao trusts overall

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

1. Martin Steinegger
2. Adam T. Zemla
3. Diederik P. Kingma
4. Milot Mirdita

Papers from Jiahua Rao's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Highly accurate protein structure prediction with AlphaFold
4. Attention is All you Need (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Dimensionality Reduction by Learning an Invariant Mapping
7. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
8. ImageNet classification with deep convolutional neural networks
9. How Powerful are Graph Neural Networks?
10. Long Short-Term Memory

Their papers

• TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction (2022) — 237 citations
• AlphaFold2-aware protein-DNA binding site prediction using graph transformer (2022) — 109 citations