Nanjiang Shu

Molecular Biology · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Nanjiang Shu trusts overall

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

  1. Björn Wallner
  2. David C. Jones
  3. Arne Elofsson
  4. David T. Jones
  5. Jianlin Cheng
  6. Andriy Kryshtafovych
  7. Dmitrij Frishman
  8. Matthew D. Zeiler
  9. Achim Zeileis
  10. Håkan Viklund

Who trusts Nanjiang Shu overall

  1. Georgy Derevyanko
  2. Karolis Uziela
  3. Tristan Bepler
  4. Jonghun Won

Papers from Nanjiang Shu's perspective

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

  1. Dropout: a simple way to prevent neural networks from overfitting
  2. Understanding the difficulty of training deep feedforward neural networks
  3. Deep Sparse Rectifier Neural Networks
  4. Protein secondary structure prediction based on position-specific scoring matrices.
  5. Basic local alignment search tool.
  6. Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.
  7. Can correct protein models be identified?
  8. 3D-Jury: A Simple Approach to Improve Protein Structure Predictions (Bioinform.)
  9. Improving sequence-based fold recognition by using 3D model quality assessment
  10. Assembly of protein tertiary structures from fragments with similar local sequences using simulated annealing and Bayesian scoring functions.

Their papers