Wei Wang

Molecular Biology · with Cao · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Wang trusts overall

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

  1. Gregory R. Bowman
  2. Kyle A. Beauchamp
  3. John D. Chodera
  4. Vijay S. Pande
  5. Frank No'e
  6. Jan-Hendrik Prinz
  7. Stefan Doerr
  8. G. de Fabritiis

Papers from Wei Wang's perspective

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

  1. Progress and challenges in the automated construction of Markov state models for full protein systems. (Journal of Chemical Physics)
  2. Markov models of molecular kinetics: generation and validation.
  3. Variational Approach to Molecular Kinetics. (Journal of Chemical Theory and Computation)
  4. MSMBuilder2: Modeling Conformational Dynamics at the Picosecond to Millisecond Scale (Journal of Chemical Theory and Computation)
  5. Automatic discovery of metastable states for the construction of Markov models of macromolecular conformational dynamics. (Journal of Chemical Physics)
  6. Complete protein–protein association kinetics in atomic detail revealed by molecular dynamics simulations and Markov modelling
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Essential dynamics of proteins

Their papers