Jihong Guan

Molecular Biology · 2009–2016

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 28 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Computational Biology & Bioinformatics — 10 citations into it

Whom Jihong Guan trusts overall

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

1. Jianlin Cheng
2. Temple F. Smith

Who trusts Jihong Guan overall

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu

Papers from Jihong Guan's perspective

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

1. Identification of common molecular subsequences.
2. Structural bioinformatics A machine learning information retrieval approach to protein fold recognition
3. Protein homology detection using string alignment kernels (Bioinform.)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation (2009) — 186 citations
• Boosting compound-protein interaction prediction by deep learning (2015) — 164 citations
• Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models (2016) — 17 citations