Huanyu Jiang

Plant Science · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 27 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 11 citations into it

Whom Huanyu Jiang trusts overall

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

1. Kaiming He
2. Yoshua Bengio
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Ekin Dogus Cubuk
6. Ilya Sutskever
7. Yann LeCun
8. J. G. Arnal Barbedo

Papers from Huanyu Jiang's perspective

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

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

Their papers

• Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification (2021) — 466 citations
• Using hyperspectral imaging to discriminate yellow leaf curl disease in tomato leaves (2018) — 86 citations