Standout Papers

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery 2020 2026 2022 2024536
  1. Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery (2020)
    Zhuyun Chen, Guolin He et al. IEEE Transactions on Instrumentation and Measurement
  2. A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges (2021)
    Weihua Li, Ruyi Huang et al. Mechanical Systems and Signal Processing

Immediate Impact

150 standout
Sub-graph 1 of 14

Citing Papers

Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
2024 Standout
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
2024 Standout
54 intermediate papers

Works of Guolin He being referenced

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
2021 Standout
Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery
2020 Standout
and 9 more

Author Peers

Author Last Decade Papers Cites
Guolin He 1447 1944 275 542 45 2.5k
Shuilong He 1226 2106 248 637 80 2.7k
Xingqiu Li 1400 2143 136 717 36 2.6k
Jipu Li 941 1653 163 505 44 2.1k
Qing Ni 1784 2258 288 811 68 3.2k
Ruyi Huang 1140 2004 191 637 53 2.7k
Jinyang Jiao 945 1611 206 451 44 1.9k
Junsheng Cheng 1756 2718 325 930 71 3.3k
Xinwei Jiang 861 1427 153 500 41 2.4k
Minghang Zhao 1022 1678 191 520 56 2.6k
Kun Yu 1053 1451 232 519 72 2.1k

All Works

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2026