Yaguo Lei

32.9k total citations · 29 hit papers
220 papers, 26.5k citations indexed

About

Yaguo Lei is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Yaguo Lei has authored 220 papers receiving a total of 26.5k indexed citations (citations by other indexed papers that have themselves been cited), including 162 papers in Control and Systems Engineering, 104 papers in Mechanical Engineering and 51 papers in Mechanics of Materials. Recurrent topics in Yaguo Lei's work include Machine Fault Diagnosis Techniques (134 papers), Fault Detection and Control Systems (73 papers) and Gear and Bearing Dynamics Analysis (59 papers). Yaguo Lei is often cited by papers focused on Machine Fault Diagnosis Techniques (134 papers), Fault Detection and Control Systems (73 papers) and Gear and Bearing Dynamics Analysis (59 papers). Yaguo Lei collaborates with scholars based in China, Canada and United Kingdom. Yaguo Lei's co-authors include Jing Lin, Naipeng Li, Feng Jia, Zhengjia He, Liang Guo, Saibo Xing, Ming J. Zuo, Tao Yan, Yanyang Zi and Bin Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Transactions on Industrial Electronics.

In The Last Decade

Yaguo Lei

208 papers receiving 25.6k citations

Hit Papers

Applications of machin... 2007 2026 2013 2019 2020 2017 2012 2015 2018 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Applications of machine learning to machine fault diagnosis: A review and roadmap
    2020 2.0k citations Yaguo Lei, Bin Yang et al. Mechanical Systems and Signal Processing profile →
  2. Machinery health prognostics: A systematic review from data acquisition to RUL prediction
    2017 1.8k citations Yaguo Lei, Naipeng Li et al. Mechanical Systems and Signal Processing profile →
  3. A review on empirical mode decomposition in fault diagnosis of rotating machinery
    2012 1.5k citations Yaguo Lei, Zhengjia He et al. Mechanical Systems and Signal Processing profile →
  4. Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
    2015 1.4k citations Yaguo Lei et al. Mechanical Systems and Signal Processing profile →
  5. A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
    2018 1.3k citations Yaguo Lei, Naipeng Li et al. profile →
  6. Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
    2018 993 citations Yaguo Lei, Naipeng Li et al. IEEE Transactions on Industrial Electronics profile →
  7. An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data
    2016 984 citations Yaguo Lei et al. IEEE Transactions on Industrial Electronics profile →
  8. A recurrent neural network based health indicator for remaining useful life prediction of bearings
    2017 959 citations Naipeng Li, Yaguo Lei et al. profile →
  9. An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
    2019 719 citations Bin Yang, Yaguo Lei et al. Mechanical Systems and Signal Processing profile →
  10. Condition monitoring and fault diagnosis of planetary gearboxes: A review
    2013 576 citations Yaguo Lei, Zhengjia He et al. profile →
  11. An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings
    2015 526 citations Naipeng Li, Yaguo Lei et al. IEEE Transactions on Industrial Electronics profile →
  12. Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
    2018 498 citations Zhengxin Zhang, Xiaosheng Si et al. profile →
  13. Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization
    2018 498 citations Yaguo Lei et al. Mechanical Systems and Signal Processing profile →
  14. A Model-Based Method for Remaining Useful Life Prediction of Machinery
    2016 481 citations Yaguo Lei, Naipeng Li et al. profile →
  15. Application of the EEMD method to rotor fault diagnosis of rotating machinery
    2008 474 citations Yaguo Lei, Zhengjia He et al. Mechanical Systems and Signal Processing profile →
  16. A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines
    2017 443 citations Yaguo Lei et al. profile →
  17. Application of an improved kurtogram method for fault diagnosis of rolling element bearings
    2011 422 citations Yaguo Lei, Zhengjia He et al. Mechanical Systems and Signal Processing profile →
  18. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs
    2007 400 citations Yaguo Lei, Zhengjia He et al. Mechanical Systems and Signal Processing profile →
  19. Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
    2017 319 citations Yaguo Lei et al. Mechanical Systems and Signal Processing profile →
  20. Deep separable convolutional network for remaining useful life prediction of machinery
    2019 311 citations Yaguo Lei, Naipeng Li et al. Mechanical Systems and Signal Processing profile →
  21. A new approach to intelligent fault diagnosis of rotating machinery
    2007 306 citations Yaguo Lei, Zhengjia He et al. Expert Systems with Applications profile →
  22. Applications of stochastic resonance to machinery fault detection: A review and tutorial
    2019 246 citations Yaguo Lei, Naipeng Li et al. Mechanical Systems and Signal Processing profile →
  23. Machinery health indicator construction based on convolutional neural networks considering trend burr
    2018 230 citations Yaguo Lei, Naipeng Li et al. profile →
  24. A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines
    2019 226 citations Bin Yang, Yaguo Lei et al. IEEE Transactions on Industrial Electronics profile →
  25. Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
    2019 226 citations Yaguo Lei, Naipeng Li et al. profile →
  26. Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
    2020 199 citations Yaguo Lei, Naipeng Li et al. IEEE Transactions on Industrial Electronics profile →
  27. Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution
    2021 197 citations Yaguo Lei et al. Mechanical Systems and Signal Processing profile →
  28. Intelligent Machinery Fault Diagnosis With Event-Based Camera
    2023 114 citations Xiang Li, Yaguo Lei et al. profile →
  29. Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment
    2024 65 citations Xiang Li, Yaguo Lei et al. IEEE/CAA Journal of Automatica Sinica profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yaguo Lei China 70 20.3k 13.5k 6.6k 3.3k 2.7k 220 26.5k
Jing Lin China 65 13.8k 0.7× 12.0k 0.9× 5.5k 0.8× 1.8k 0.5× 1.4k 0.5× 312 21.2k
Ruqiang Yan China 73 15.9k 0.8× 9.7k 0.7× 5.0k 0.8× 1.5k 0.4× 3.6k 1.3× 424 24.1k
Naipeng Li China 39 9.8k 0.5× 5.7k 0.4× 2.9k 0.4× 2.6k 0.8× 1.5k 0.5× 95 12.6k
Dong Wang China 63 8.0k 0.4× 5.8k 0.4× 2.9k 0.4× 1.7k 0.5× 1.3k 0.5× 687 15.4k
Robert X. Gao United States 64 9.0k 0.4× 7.9k 0.6× 3.0k 0.4× 923 0.3× 1.8k 0.7× 381 19.4k
Steven X. Ding Germany 73 23.0k 1.1× 6.2k 0.5× 1.3k 0.2× 1.2k 0.3× 3.6k 1.4× 484 26.4k
Xiang Li China 61 7.4k 0.4× 4.8k 0.4× 2.0k 0.3× 1.1k 0.3× 2.2k 0.8× 423 13.6k
Shen Yin China 78 14.6k 0.7× 4.4k 0.3× 646 0.1× 776 0.2× 2.9k 1.1× 333 20.0k
Zhengjia He China 58 9.1k 0.4× 7.1k 0.5× 3.8k 0.6× 309 0.1× 625 0.2× 187 13.1k
Kai Goebel United States 51 6.1k 0.3× 1.8k 0.1× 1.3k 0.2× 2.9k 0.9× 1.3k 0.5× 339 11.6k

Countries citing papers authored by Yaguo Lei

Since Specialization
Citations

This map shows the geographic impact of Yaguo Lei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yaguo Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaguo Lei more than expected).

Fields of papers citing papers by Yaguo Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaguo Lei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yaguo Lei. The network helps show where Yaguo Lei may publish in the future.

Co-authorship network of co-authors of Yaguo Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Yaguo Lei. A scholar is included among the top collaborators of Yaguo Lei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaguo Lei. Yaguo Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lei, Yaguo, et al.. (2025). Intelligent Diagnosis of Closed-Loop Motor Drives Using Interior Control Signals Under Industrial Low Sampling Rate Conditions. IEEE Transactions on Industrial Electronics. 72(12). 14764–14774.
2.
Li, Xiang, et al.. (2025). Dynamic Vision-Enabled Intelligent Micro-Vibration Estimation Method with Spatiotemporal Pattern Consistency. IEEE/CAA Journal of Automatica Sinica. 12(11). 2359–2361. 2 indexed citations
3.
Lei, Yaguo, et al.. (2025). Owie-Driven spectrum discrepancy impulse reconstruction: An adaptive impulse extraction methodology for rotating machinery. Mechanical Systems and Signal Processing. 225. 112288–112288. 2 indexed citations
4.
Emami, Mohammad Reza Sarmasti, et al.. (2024). Model-based health monitoring of rotate-vector reducers in robot manipulators. Mechatronics. 99. 103162–103162. 5 indexed citations
5.
Zheng, Peng, Pan Dou, Tonghai Wu, et al.. (2024). Ultrasonic reflection measured oil film thickness in the slipper bearings of an aviation fuel piston pump. Mechanical Systems and Signal Processing. 220. 111696–111696. 5 indexed citations
6.
Dou, Pan, et al.. (2024). In-situ adaptive calibration of incident signal of ultrasonic lubricant film thickness measurements. Mechanical Systems and Signal Processing. 224. 112236–112236. 1 indexed citations
7.
Yang, Xiao, et al.. (2024). Dynamic modeling of gear compound faults and stiffness sensitivity analysis against arbitrary spatial configuration of defect. Mechanical Systems and Signal Processing. 218. 111564–111564. 11 indexed citations
8.
Wang, Yuan, et al.. (2024). A multimodal dynamic parameterized bilinear factorized framework for remaining useful life prediction under variational data. Reliability Engineering & System Safety. 245. 110025–110025. 19 indexed citations
9.
Yang, Bin, Yaguo Lei, Xiang Li, & Naipeng Li. (2023). Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization. Expert Systems with Applications. 244. 122997–122997. 81 indexed citations
10.
Pan, Yan, et al.. (2023). Remaining useful life prediction of lubrication oil by integrating multi-source knowledge and multi-indicator data. Mechanical Systems and Signal Processing. 191. 110174–110174. 19 indexed citations
11.
Liu, Yuqing, Zaigang Chen, Wanming Zhai, & Yaguo Lei. (2023). Investigation on skidding behavior of a lubricated rolling bearing with fluid–solid-heat coupling effect. Mechanical Systems and Signal Processing. 206. 110922–110922. 23 indexed citations
12.
Li, Tianmei, Hong Pei, Xiaosheng Si, & Yaguo Lei. (2023). Prognosis for stochastic degrading systems with massive data: A data-model interactive perspective. Reliability Engineering & System Safety. 237. 109344–109344. 28 indexed citations
13.
Cao, Junyi, et al.. (2023). Nonlinear spectrum feature fusion diagnosis method for RV reducer of industrial robots. Mechanical Systems and Signal Processing. 204. 110750–110750. 16 indexed citations
14.
15.
Zhao, Huan, Junyi Cao, Wei‐Hsin Liao, et al.. (2023). Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review. Digital Health. 9. 589817281–589817281. 14 indexed citations
16.
Li, Xiwei, et al.. (2023). A spectral self-focusing fault diagnosis method for automotive transmissions under gear-shifting conditions. Mechanical Systems and Signal Processing. 200. 110499–110499. 15 indexed citations
17.
Zhang, Ying, Wei Wang, Xin Wu, et al.. (2023). A comprehensive review on self-powered smart bearings. Renewable and Sustainable Energy Reviews. 183. 113446–113446. 37 indexed citations
18.
Pei, Hong, Xiaosheng Si, Tianmei Li, Zhengxin Zhang, & Yaguo Lei. (2023). Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction. IEEE Transactions on Neural Networks and Learning Systems. 35(12). 18000–18012. 15 indexed citations
19.
Kong, Detong, et al.. (2018). Ice Detection Method by Using SCADA Data on Wind Turbine Blades. SHILAP Revista de lepidopterología. 39(1). 58–62. 11 indexed citations
20.
Lei, Yaguo, Zhengjia He, & Yanyang Zi. (2008). Application of the EEMD method to rotor fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing. 23(4). 1327–1338. 474 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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