Hui Yang

Environmental Research Letters · with Bonsall · 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.

Whom Hui Yang trusts

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

  1. Kevin P. Murphy (in Probabilistic & Bayesian Methods)

Papers from Hui Yang's perspective

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

  1. An overview of CMIP5 and the experiment design
  2. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability (Nature)
  3. Statistical significance of climate sensitivity predictors obtained by data mining
  4. Neural Ordinary Differential Equations
  5. Do alternative energy sources displace fossil fuels
  6. Could Machine Learning Break the Convection Parameterization Deadlock? (Geophysical Research Letters)
  7. Simulating regime structures in weather and climate prediction models
  8. Tipping elements in the Earth's climate system (Proceedings of the National Academy of Sciences of the United States of America)
  9. Machine learning - a probabilistic perspective
  10. Introducing Eurosat: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Their papers