Naipeng Li

16.0k total citations · 16 hit papers
95 papers, 12.6k citations indexed

About

Naipeng Li is a scholar working on Control and Systems Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Naipeng Li has authored 95 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Control and Systems Engineering, 38 papers in Mechanical Engineering and 29 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Naipeng Li's work include Machine Fault Diagnosis Techniques (69 papers), Fault Detection and Control Systems (34 papers) and Reliability and Maintenance Optimization (28 papers). Naipeng Li is often cited by papers focused on Machine Fault Diagnosis Techniques (69 papers), Fault Detection and Control Systems (34 papers) and Reliability and Maintenance Optimization (28 papers). Naipeng Li collaborates with scholars based in China, United States and United Kingdom. Naipeng Li's co-authors include Yaguo Lei, Jing Lin, Liang Guo, Tao Yan, Ningbo Li, Feng Jia, Bin Yang, Biao Wang, Asoke K. Nandi and Xinwei Jiang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Sensors.

In The Last Decade

Naipeng Li

89 papers receiving 12.2k citations

Hit Papers

Applications of machine learning to machine fau... 2015 2026 2018 2022 2020 2017 2018 2018 2017 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 Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
    2018 1.3k citations Yaguo Lei, Naipeng Li et al. profile →
  4. Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data
    2018 993 citations Liang Guo, Yaguo Lei et al. profile →
  5. A recurrent neural network based health indicator for remaining useful life prediction of bearings
    2017 959 citations Liang Guo, Naipeng Li et al. profile →
  6. An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings
    2015 526 citations Naipeng Li, Yaguo Lei et al. profile →
  7. A Model-Based Method for Remaining Useful Life Prediction of Machinery
    2016 481 citations Yaguo Lei, Naipeng Li et al. profile →
  8. 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 →
  9. 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 →
  10. Machinery health indicator construction based on convolutional neural networks considering trend burr
    2018 230 citations Liang Guo, Yaguo Lei et al. profile →
  11. 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. profile →
  12. Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
    2019 226 citations Yaguo Lei, Tao Yan et al. profile →
  13. Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings
    2021 219 citations Zhijian Wang, Bin Yang et al. profile →
  14. Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
    2020 199 citations Yaguo Lei, Naipeng Li et al. profile →
  15. Intelligent Machinery Fault Diagnosis With Event-Based Camera
    2023 114 citations Xiang Li, Yaguo Lei et al. profile →
  16. 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
Naipeng Li China 39 9.8k 5.7k 2.9k 2.6k 1.5k 95 12.6k
Liang Guo China 32 5.1k 0.5× 3.3k 0.6× 1.6k 0.6× 1.2k 0.5× 874 0.6× 141 7.2k
Feng Jia China 18 6.5k 0.7× 3.9k 0.7× 2.3k 0.8× 535 0.2× 1.2k 0.8× 48 8.2k
Jing Lin China 65 13.8k 1.4× 12.0k 2.1× 5.5k 1.9× 1.8k 0.7× 1.4k 0.9× 312 21.2k
Yaguo Lei China 70 20.3k 2.1× 13.5k 2.3× 6.6k 2.3× 3.3k 1.3× 2.7k 1.8× 220 26.5k
Haidong Shao China 50 8.0k 0.8× 4.6k 0.8× 2.7k 0.9× 355 0.1× 1.8k 1.2× 128 9.9k
Kai Goebel United States 51 6.1k 0.6× 1.8k 0.3× 1.3k 0.5× 2.9k 1.1× 1.3k 0.9× 339 11.6k
Chuang Sun China 44 5.2k 0.5× 2.8k 0.5× 1.5k 0.5× 501 0.2× 1.5k 1.0× 127 7.2k
Baoping Tang China 44 5.6k 0.6× 3.4k 0.6× 1.8k 0.6× 449 0.2× 851 0.6× 209 7.7k
Yanyang Zi China 46 7.1k 0.7× 5.0k 0.9× 2.5k 0.9× 381 0.1× 580 0.4× 177 9.2k
Jinglong Chen China 45 5.4k 0.6× 3.0k 0.5× 1.6k 0.6× 389 0.2× 1.4k 0.9× 188 7.1k

Countries citing papers authored by Naipeng Li

Since Specialization
Citations

This map shows the geographic impact of Naipeng Li'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 Naipeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naipeng Li more than expected).

Fields of papers citing papers by Naipeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naipeng Li. 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 Naipeng Li. The network helps show where Naipeng Li may publish in the future.

Co-authorship network of co-authors of Naipeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Naipeng Li. A scholar is included among the top collaborators of Naipeng Li 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 Naipeng Li. Naipeng Li 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.
Li, Naipeng, et al.. (2026). Multimodal data-enabled large model for machine fault diagnosis towards intelligent operation and maintenance. Journal of Industrial Information Integration. 50. 101061–101061.
2.
Yuan, Jianhui, Yaguo Lei, Naipeng Li, et al.. (2025). A framework for modeling and optimization of mechanical equipment considering maintenance cost and dynamic reliability via deep reinforcement learning. Reliability Engineering & System Safety. 264. 111424–111424. 4 indexed citations
3.
Yuan, Jianhui, Yaguo Lei, Bin Yang, et al.. (2025). A hybrid maintenance strategy for equipment with competitive failure modes: Sudden failure and multi-stage degradation failure. Mechanical Systems and Signal Processing. 234. 112846–112846. 2 indexed citations
4.
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
5.
Li, Xiang, et al.. (2025). Dynamic vision-based machine vibration sensing and fault diagnosis with signal alignment and feature clustering. Engineering Applications of Artificial Intelligence. 162. 112445–112445. 3 indexed citations
6.
7.
Shi, Huaitao, et al.. (2024). Rolling bearing performance assessment with degradation twin modeling considering interdependent fault evolution. Mechanical Systems and Signal Processing. 224. 112194–112194. 27 indexed citations
8.
Si, Xiaosheng, Huiqin Li, Zhengxin Zhang, & Naipeng Li. (2024). A Wiener-process-inspired semi-stochastic filtering approach for prognostics. Reliability Engineering & System Safety. 249. 110200–110200. 12 indexed citations
9.
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
10.
Li, Naipeng, et al.. (2024). Optimal weight impulse extraction: New impulse extraction methodology for incipient gearbox condition monitoring. Mechanical Systems and Signal Processing. 216. 111449–111449. 15 indexed citations
11.
Wang, Shuhui, Yaguo Lei, Na Lü, et al.. (2024). Graph Continual Learning Network: An Incremental Intelligent Diagnosis Method of Machines for New Fault Detection. IEEE Transactions on Automation Science and Engineering. 23. 3214–3224. 20 indexed citations
12.
13.
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
14.
Yang, Xiao, Yaguo Lei, Huan Liu, et al.. (2023). Rigid-flexible coupled modeling of compound multistage gear system considering flexibility of shaft and gear elastic deformation. Mechanical Systems and Signal Processing. 200. 110632–110632. 19 indexed citations
15.
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.
Li, Yan‐Fu, et al.. (2022). Semi-supervised Fault Diagnosis Method via Graph Label Propagation and Discriminative Feature Enhancement for Critical Components of Industrial Robot. Journal of Mechanical Engineering. 58(17). 116–116. 4 indexed citations
18.
Li, Naipeng, et al.. (2022). Targeted Transfer Diagnosis Method across Different Machines. Journal of Mechanical Engineering. 58(12). 1–1. 8 indexed citations
19.
Wang, Zhijian, et al.. (2021). Bearing fault diagnosis method based on similarity measure and ensemble learning. Measurement Science and Technology. 32(5). 55005–55005. 5 indexed citations
20.
Lei, Yaguo, Naipeng Li, Liang Guo, et al.. (2017). Machinery health prognostics: A systematic review from data acquisition to RUL prediction. Mechanical Systems and Signal Processing. 104. 799–834. 1780 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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