Standout Papers

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled ... 2020 2026 2022 2024206
  1. Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data (2020)
    Cheng Cheng, Beitong Zhou et al. Neurocomputing

Immediate Impact

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Citing Papers

Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management
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Data-driven machinery fault diagnosis: A comprehensive review
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Works of Beitong Zhou being referenced

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data
2020 Standout
A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series
2019
and 1 more

Author Peers

Author Last Decade Papers Cites
Beitong Zhou 427 167 180 258 258 10 931
Fan Xu 291 149 63 487 447 25 851
Simon Malinowski 552 215 205 65 145 27 1.1k
Duan-Yu Chen 403 78 121 88 427 51 1.1k
Yu Ding 332 73 163 160 194 49 901
Sheng Hong 417 262 99 321 344 27 1.1k
Vinay Vakharia 367 31 90 71 221 42 1.0k
Miguel Martínez-García 276 38 154 53 247 46 1.0k
Hao Sun 609 38 99 140 68 59 965
Gaowei Xu 456 36 202 17 124 20 1.1k
Shun Chen 94 29 345 38 162 14 978

All Works

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2026