Standout Papers

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rot... 2022 2026 2023 2024206
  1. CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery (2023)
    Yadong Xu, Ke Feng et al. Information Fusion
  2. Construction of health indicators for condition monitoring of rotating machinery: A review of the research (2022)
    Haoxuan Zhou, Xin Huang et al. Expert Systems with Applications
  3. Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning (2023)
    Yongchao Zhang, Kun Yu et al. Expert Systems with Applications
  4. Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing (2023)
    Yongchao Zhang, Jinchen Ji et al. Reliability Engineering & System Safety

Immediate Impact

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Citing Papers

A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
2024 Standout
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
4 intermediate papers

Works of Zihao Lei being referenced

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
2023 Standout
Transfer learning for bearing performance degradation assessment based on deep hierarchical features
2020
and 2 more

Author Peers

Author Last Decade Papers Cites
Zihao Lei 791 467 175 252 37 986
Zhenzhen Jin 697 473 109 245 47 959
Ansi Zhang 615 352 216 189 35 972
Wei Jiang 700 403 109 280 26 857
Jingyao Wu 772 396 276 187 21 1.0k
Yuqing Li 763 412 195 256 54 1.2k
Yong Feng 855 459 369 221 29 1.2k
Weiwei Qian 678 431 126 255 22 837
Kun Xu 599 410 134 241 36 807
Fengjie Fan 720 424 122 239 54 896
Jichao Zhuang 545 353 189 155 22 761

All Works

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Rankless by CCL
2026