Shui-hua Wang

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Biomedical Engineering — 8 citations into it
• Optimization & Training — 7 citations into it

Whom Shui-hua Wang trusts overall

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

1. G. Huang
2. Geoffrey E. Hinton
3. Kaiming He
4. Ramprasaath R. Selvaraju
5. Siham Tabik
6. Alex Krizhevsky
7. Yoshua Bengio
8. Corinna Cortes
9. Yann LeCun
10. Lei Zhang

Who trusts Shui-hua Wang overall

1. Ahmad Chaddad

Papers from Shui-hua Wang's perspective

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

Their papers

• Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation (2020) — 392 citations
• A review on extreme learning machine (2021) — 520 citations
• Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network (2021) — 295 citations
• Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network (2020) — 302 citations
• A Review of Deep Learning on Medical Image Analysis (2020) — 420 citations