Jun Liu

Plant Science · with Wang · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 217 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 35 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 15 citations into it
• Analytical Chemistry — 12 citations into it
• Model Architectures — 12 citations into it

Whom Jun Liu trusts overall

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

1. Kaiming He
2. Joseph Redmon
3. Ross B. Girshick
4. Matthew D. Zeiler
5. Shaoqing Ren
6. Karen Simonyan
7. Christian Szegedy
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. J. G. Arnal Barbedo

Who trusts Jun Liu overall

1. Muhammad Ali Shoaib

Papers from Jun Liu's perspective

Ordered by how strongly the researchers Jun Liu 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. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Plant diseases and pests detection based on deep learning: a review (2021) — 799 citations
• Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network (2020) — 453 citations