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Yaguo Lei

Active 2006–2026

123
Papers
29,377
Citations
61
h-index
96
i10-index

Citations

Citations per year for Yaguo Lei1977: 2 citations1996: 1 citations2001: 3 citations2005: 1 citations2006: 1 citations2007: 1 citations2008: 13 citations2009: 18 citations2010: 30 citations2011: 31 citations2012: 44 citations2013: 81 citations2014: 76 citations2015: 114 citations2016: 172 citations2017: 332 citations2018: 591 citations2019: 964 citations2020: 1,320 citations2021: 1,568 citations2022: 1,609 citations2023: 1,753 citations2024: 1,802 citations2025: 1,525 citations2026: 357 citations2027: 5 citations1978–1995: no citations, so these years are not shown1997–2000: no citations, so these years are not shown2002–2004: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 5,695 citing papers, 56.1% of this breakdownUnited States: 610 citing papers, 6% of this breakdownUnited Kingdom: 340 citing papers, 3.3% of this breakdownCanada: 266 citing papers, 2.6% of this breakdownSouth Korea: 260 citing papers, 2.5% of this breakdownIndia: 210 citing papers, 2.1% of this breakdownItaly: 210 citing papers, 2.1% of this breakdownHong Kong: 204 citing papers, 2% of this breakdownFrance: 200 citing papers, 2% of this breakdownGermany: 172 citing papers, 1.7% of this breakdownAustralia: 143 citing papers, 1.4% of this breakdownSingapore: 139 citing papers, 1.4% of this breakdown
0%56.1%Other 16.8%

Institutions

Fields

  • Engineering79.7%
  • Computer Science12.8%
  • Physics and Astronomy1.5%
  • Health Professions1%
  • Medicine1%
  • Decision Sciences0.9%
  • Other3.1%

Topics

  • Machine Fault Diagnosis Techniques21.2%
  • Fault Detection and Control Systems10.3%
  • Gear and Bearing Dynamics Analysis7%
  • Engineering Diagnostics and Reliability5%
  • Reliability and Maintenance Optimization4.2%
  • Anomaly Detection Techniques and Applications3.6%
  • Other48.7%

Coauthors

All papers

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  1. Applications of machine learning to machine fault diagnosis: A review and roadmap

    Authors: Yaguo Lei, Bin Yang, Xinwei Jiang, Feng Jia, Naipeng Li, Asoke K. Nandi - Mechanical Systems and Signal Processing 2020 cited by 2,697

  2. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

    Authors: Biao Wang, Yaguo Lei, Naipeng Li, Ningbo Li - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2018 cited by 1,780

  3. Machinery health prognostics: A systematic review from data acquisition to RUL prediction

    Authors: Yaguo Lei, Naipeng Li, Liang Guo, Ningbo Li, Tao Yan, Jing Lin - Mechanical Systems and Signal Processing 2017 cited by 2,405

  4. Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

    Authors: Liang Guo, Yaguo Lei, Saibo Xing, Tao Yan, Naipeng Li - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2018 cited by 1,203

  5. A recurrent neural network based health indicator for remaining useful life prediction of bearings

    Authors: Liang Guo, Naipeng Li, Feng Jia, Yaguo Lei, Jing Lin - Neurocomputing 2017 cited by 1,211

  6. An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

    Authors: Bin Yang, Yaguo Lei, Feng Jia, Saibo Xing - Mechanical Systems and Signal Processing 2019 cited by 859

  7. Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods

    Authors: Zhengxin Zhang, Xiaosheng Si, Changhua Hu, Yaguo Lei - European Journal of Operational Research, Eur. J. Oper. Res. 2018 cited by 657

  8. Intelligent Machinery Fault Diagnosis With Event-Based Camera

    Authors: Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang - IEEE Transactions on Industrial Informatics, IEEE Trans. Ind. Informatics 2023 cited by 169

  9. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

    Authors: Feng Jia, Yaguo Lei, Jing Lin, Xin Zhou, Na Lü - Mechanical Systems and Signal Processing 2015 cited by 1,680

  10. A review on empirical mode decomposition in fault diagnosis of rotating machinery

    Authors: Yaguo Lei, Jing Lin, Zhengjia He, Ming J. Zuo - Mechanical Systems and Signal Processing 2012 cited by 1,820

  11. A Model-Based Method for Remaining Useful Life Prediction of Machinery

    Authors: Yaguo Lei, Naipeng Li, Szymon Gontarz, Jing Lin, S. Radkowski, Jacek Dybała - IEEE Transactions on Reliability, IEEE Trans. Reliab. 2016 cited by 614

  12. An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

    Authors: Naipeng Li, Yaguo Lei, Jing Lin, Steven X. Ding - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2015 cited by 655

  13. Deep separable convolutional network for remaining useful life prediction of machinery

    Authors: Biao Wang, Yaguo Lei, Naipeng Li, Tao Yan - Mechanical Systems and Signal Processing 2019 cited by 401

  14. Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization

    Authors: Bin Yang, Yaguo Lei, Xiang Li, Naipeng Li - Expert Systems with Applications, Expert Syst. Appl. 2023 cited by 111

  15. A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines

    Authors: Bin Yang, Yaguo Lei, Feng Jia, Naipeng Li, Zhaojun Du - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2019 cited by 274

  16. An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

    Authors: Yaguo Lei, Feng Jia, Jing Lin, Saibo Xing, Steven X. Ding - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2016 cited by 1,168

  17. Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

    Authors: Feng Jia, Yaguo Lei, Na Lü, Saibo Xing - Mechanical Systems and Signal Processing 2018 cited by 580

  18. Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery

    Authors: Biao Wang, Yaguo Lei, Tao Yan, Naipeng Li, Liang Guo - Neurocomputing 2019 cited by 295

  19. Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment

    Authors: Xiang Li, Shupeng Yu, Yaguo Lei, Naipeng Li, Bin Yang - IEEE/CAA Journal of Automatica Sinica, IEEE CAA J. Autom. Sinica 2024 cited by 102

  20. Deep Targeted Transfer Learning Along Designable Adaptation Trajectory for Fault Diagnosis Across Different Machines

    Authors: Bin Yang, Yaguo Lei, Xiang Li, Clive Roberts - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2022 cited by 107

  21. Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

    Authors: Biao Wang, Yaguo Lei, Naipeng Li, Wenting Wang - IEEE Transactions on Industrial Electronics, IEEE Trans. Ind. Electron. 2020 cited by 247

  22. Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution

    Authors: Zhijian Wang, Jie Zhou, Wenhua Du, Yaguo Lei, Junyuan Wang - Mechanical Systems and Signal Processing 2021 cited by 243

  23. Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data

    Authors: Na Lu, Huiyang Hu, Tao Yin, Yaguo Lei, Shuhui Wang - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 cited by 122

  24. Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks

    Authors: Xiang Li, Yixiao Xu, Naipeng Li, Bin Yang, Yaguo Lei - IEEE/CAA Journal of Automatica Sinica, IEEE CAA J. Autom. Sinica 2022 cited by 134