Standout Papers

Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification 2023 2026 202492
  1. Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification (2023)
    Yao Ding, Zhili Zhang et al. Expert Systems with Applications

Immediate Impact

1 from Science/Nature 50 standout
Sub-graph 1 of 24

Citing Papers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
2024 Standout
A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion
2024 Standout
2 intermediate papers

Works of Bei Wang being referenced

Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces
2017

Author Peers

Author Last Decade Papers Cites
Bei Wang 219 304 195 236 44 1.1k
Ergun Erçelebi 45 102 290 179 58 1000
Robert Hecht-Nielsen 87 167 99 603 31 1.3k
Xin Huang 289 531 104 111 53 957
Gastón Schlotthauer 166 383 90 178 37 1.4k
Marcelo A. Colominas 170 414 85 140 26 1.2k
Jiang Bian 168 244 58 550 41 1.3k
Han‐Pang Huang 89 235 64 85 85 946
James A. Leonard 149 357 61 337 45 1.3k
Diego S. Benítez 69 45 146 154 47 926
Jiangong Wang 47 50 38 171 76 1.2k

All Works

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Rankless by CCL
2026