Dongbo Bu

Molecular Biology · 2003–2020

A researcher in the Science corpus: 6 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 108 citations into it
• Computational Biology & Bioinformatics — 42 citations into it
• Materials Chemistry — 29 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Dongbo Bu trusts overall

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

1. Duncan J. Watts
2. Johannes Söding
3. Yang Zhang
4. Jinbo Xu
5. Lani F. Wu
6. Zhiyong Wang
7. Feng Zhao
8. Steven H. Strogatz
9. Ben M. Webb
10. Ying Xu

Who trusts Dongbo Bu overall

1. Natasa Przulj
2. Oliver Mason
3. Roded Sharan
4. Andrew D. King
5. Igor Jurisica
6. Mark H. A. Verwoerd

Papers from Dongbo Bu's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
3. Mask R-CNN
4. ImageNet classification with deep convolutional neural networks
5. Protein 3D Structure Computed from Evolutionary Sequence Variation
6. Protein homology detection by HMM?CHMM comparison
7. Feature Pyramid Networks for Object Detection
8. Gradient-based learning applied to document recognition
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Topological structure analysis of the protein-protein interaction network in budding yeast. (2003) — 803 citations
• The Genomes of Oryza sativa: A History of Duplications (2005) — 942 citations
• NONCODE: an integrated knowledge database of non-coding RNAs (2004) — 315 citations
• CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction (2020) — 72 citations
• ISSEC: inferring contacts among protein secondary structure elements using deep object detection (2020) — 6 citations
• Protein threading using residue co-variation and deep learning (2018) — 70 citations