Yang Wang

Computational Theory and Mathematics · with Darrow · 2019

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

Subfields

Whom Yang Wang trusts

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

  1. John B. O. Mitchell (in Computational Theory and Mathematics)

Papers from Yang Wang's perspective

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

  1. Prediction of Organic Reaction Outcomes Using Machine Learning
  2. Predicting reaction performance in C–N cross-coupling using machine learning (Science)
  3. Machine-learning-assisted materials discovery using failed experiments
  4. Machine learning methods in chemoinformatics
  5. The rise of deep learning in drug discovery. (Drug Discovery Today)
  6. NWChem: A comprehensive and scalable open-source solution for large scale molecular simulations
  7. Machine Learning With Python
  8. Improving neural networks by preventing co-adaptation of feature detectors
  9. Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules
  10. MoleculeNet: a benchmark for molecular machine learning

Their papers