Feng Wang

Materials Chemistry · Nature Physics · 2005–2019

A researcher in the Science corpus: 24 papers; trusts 374 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Wang trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Weiyang Liu
  7. Andrew Zisserman
  8. Christian Szegedy
  9. Yoshua Bengio
  10. Ross B. Girshick

Who trusts Feng Wang overall

  1. Weiyang Liu
  2. Jiankang Deng
  3. Hang Qi
  4. Yandong Wen
  5. Mei Wang
  6. Xiao Zhang
  7. Ying Zhang
  8. Jia Guo
  9. Arsha Nagrani
  10. Kevin Musgrave

Papers from Feng Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers