Bin Wang

Plant Science · with Li · 2021

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

Subfields

• Plant Science — 29 citations into it; #5,673 of 8,232 by trust here, #8,063 by citations
• Analytical Chemistry — 13 citations into it; #996 of 1,254 by trust here, #1,168 by citations
• Computer Vision and Pattern Recognition — 9 citations into it
• Artificial Intelligence — 7 citations into it

Whom Bin Wang trusts overall

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

1. J. G. Arnal Barbedo
2. Alex Krizhevsky
3. Individualized Treat
4. Li Fei-Fei
5. Andreas Kamilaris
6. Artzai Picon
7. Geoffrey E. Hinton

Who trusts Bin Wang overall

1. Wubetu Barud Demilie

Papers from Bin Wang's perspective

Ordered by how strongly the researchers Bin 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. Going deeper with convolutions
4. GENERATIVE ADVERSARIAL NETS
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Plant Disease Detection and Classification by Deep Learning—A Review (2021) — 720 citations