Wei Li

Materials Chemistry · with Jacobs · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 21 citations into it
• Renewable Energy, Sustainability and the Environment — 8 citations into it
• Inorganic Chemistry — 6 citations into it

Whom Wei Li trusts overall

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

1. Jeff Greeley
2. Nicolai Meinshausen
3. Pierre Geurts
4. Shidong Wang
5. Alexander Kraskov
6. David W. Hosmer Jr.
7. Isabelle M Guyon
8. Logan T. Ward
9. Ryan Jacobs
10. Jesús Carrete

Papers from Wei Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Scikit-learn: Machine Learning in Python
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Random Forests
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Computational high-throughput screening of electrocatalytic materials for hydrogen evolution (Nature Materials)
10. Assessing the Thermoelectric Properties of Sintered Compounds via High-Throughput Ab-Initio Calculations

Their papers

• Predicting the thermodynamic stability of perovskite oxides using machine learning models (2018) — 222 citations