Qian-Yuan Tang

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qian-Yuan Tang trusts overall

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

  1. Mark Newman
  2. W. Kabsch
  3. Roger Guimerà
  4. Vincent D. Blondel
  5. Robbie P. Joosten
  6. Andrew W. Senior
  7. Marta Sales-Pardo
  8. Mihaly Varadi
  9. Jean-Loup Guillaume
  10. S. Dutta

Papers from Qian-Yuan Tang's perspective

Ordered by how strongly the researchers Qian-Yuan Tang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  2. Modularity from fluctuations in random graphs and complex networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
  3. Improved protein structure prediction using potentials from deep learning
  4. Assortative mixing in networks. (Physical Review Letters)
  5. Fast unfolding of communities in large networks
  6. Specificity and Stability in Topology of Protein Networks (Science)
  7. Fast algorithm for detecting community structure in networks.
  8. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features
  9. A series of PDB related databases for everyday needs
  10. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

Their papers