Rui Kuang

Molecular Biology · 2004–2017

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Molecular Biology — 78 citations into it; #17,761 of 17,773 by trust here, #12,227 by citations
• Cancer Research — 29 citations into it
• Computational Biology & Bioinformatics — 18 citations into it
• Pulmonary and Respiratory Medicine — 10 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Rui Kuang trusts overall

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

1. Tommi S. Jaakkola
2. Stephen F. Altschul
3. Michael Gribskov
4. Christina S. Leslie
5. Temple F. Smith
6. James A. Hanley
7. Jason Aaron Edward Weston
8. Kevin J. Karplus
9. Robert Tibshirani
10. Dengyong Zhou

Who trusts Rui Kuang overall

1. Michael Heinzinger
2. Ahmed Elnaggar
3. Hanjun Dai
4. Sepp Hochreiter
5. Christian Widmer
6. Jason Aaron Edward Weston
7. Yu Wang
8. Paolo Sonego
9. Christian Dallago
10. Aliaksei Severyn

Papers from Rui Kuang's perspective

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

1. Basic local alignment search tool.
2. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
3. Regression Shrinkage and Selection via the Lasso
4. Identification of common molecular subsequences.
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Long Short-Term Memory

Their papers

• Profile-based string kernels for remote homology detection and motif extraction. (2005) — 60 citations
• Identifying remote protein homologs by network propagation (2005) — 37 citations
• Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction (2008) — 81 citations
• Network-based machine learning and graph theory algorithms for precision oncology (2017) — 113 citations
• Profile-based string kernels for remote homology detection and motif extraction (2004) — 230 citations