Standout Papers

Generative adversarial networks: introduction and outlook 2017 2026 2020 2023 412
  1. Generative adversarial networks: introduction and outlook (2017)
    Kunfeng Wang, Chao Gou et al. IEEE/CAA Journal of Automatica Sinica

Immediate Impact

55 standout
Sub-graph 1 of 23

Citing Papers

Medical Image Segmentation Review: The Success of U-Net
2024 Standout
AI for science: Predicting infectious diseases
2024 Standout
2 intermediate papers

Works of Chao Gou being referenced

Learning to learn by yourself: Unsupervised meta‐learning with self‐knowledge distillation for COVID‐19 diagnosis from pneumonia cases
2021
Learning from adversarial medical images for X-ray breast mass segmentation
2019

Author Peers

Author Last Decade Papers Cites
Chao Gou 820 491 172 216 57 1.6k
Tai‐Jiang Mu 1156 440 156 267 47 2.1k
Yassine Ruichek 1202 319 90 321 131 1.9k
Massimo Piccardi 1154 509 94 89 88 2.0k
Song–Hai Zhang 1259 327 128 277 83 2.2k
Stefano Ghidoni 650 291 155 123 72 1.3k
Lei Qi 635 418 149 92 80 1.3k
C. Krishna Mohan 665 549 42 104 66 1.3k
Christos‐Nikolaos Anagnostopoulos 805 318 123 633 125 2.0k
Alex Kendall 611 427 89 109 29 1.4k
Faliang Chang 862 403 44 345 85 1.4k

All Works

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2026