Zihao Lei

1.6k total citations · 4 hit papers
43 papers, 1.1k citations indexed

About

Zihao Lei is a scholar working on Control and Systems Engineering, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Zihao Lei has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 21 papers in Mechanical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Zihao Lei's work include Machine Fault Diagnosis Techniques (31 papers), Fault Detection and Control Systems (12 papers) and Gear and Bearing Dynamics Analysis (12 papers). Zihao Lei is often cited by papers focused on Machine Fault Diagnosis Techniques (31 papers), Fault Detection and Control Systems (12 papers) and Gear and Bearing Dynamics Analysis (12 papers). Zihao Lei collaborates with scholars based in China, Canada and United States. Zihao Lei's co-authors include Guangrui Wen, Xuefeng Chen, Ke Feng, Haoxuan Zhou, Yongchao Zhang, Xin Huang, Zheng Liu, Shuzhi Dong, Qing Ni and Kun Yu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Mechanical Systems and Signal Processing.

In The Last Decade

Zihao Lei

38 papers receiving 1.1k citations

Hit Papers

Digital twin-driven partial domain adaptation network for... 2022 2026 2023 2024 2023 2023 2022 2023 50 100 150 200
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. Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing
    2023 236 citations Yongchao Zhang, Jinchen Ji et al. Reliability Engineering & System Safety profile →
  2. CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
    2023 136 citations Yadong Xu, Ke Feng et al. Information Fusion profile →
  3. Construction of health indicators for condition monitoring of rotating machinery: A review of the research
    2022 130 citations Haoxuan Zhou, Guangrui Wen et al. Expert Systems with Applications profile →
  4. Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning
    2023 98 citations Yongchao Zhang, Kun Yu et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zihao Lei China 15 903 513 286 195 100 43 1.1k
Jingyao Wu China 11 867 1.0× 435 0.8× 208 0.7× 318 1.6× 121 1.2× 26 1.2k
Yiming Xiao China 13 1.1k 1.3× 577 1.1× 339 1.2× 333 1.7× 126 1.3× 23 1.4k
Yong Feng China 17 938 1.0× 489 1.0× 241 0.8× 396 2.0× 79 0.8× 30 1.3k
Shen Yan China 12 1.2k 1.3× 532 1.0× 360 1.3× 369 1.9× 99 1.0× 21 1.5k
Weiwei Qian China 14 752 0.8× 472 0.9× 284 1.0× 138 0.7× 59 0.6× 28 943
James Kuria Kimotho Germany 9 853 0.9× 443 0.9× 255 0.9× 227 1.2× 68 0.7× 22 1.0k
Duy-Tang Hoang South Korea 8 1.2k 1.3× 748 1.5× 419 1.5× 155 0.8× 105 1.1× 11 1.4k
Jichao Zhuang China 14 604 0.7× 375 0.7× 166 0.6× 211 1.1× 79 0.8× 25 843
Fengjie Fan China 19 780 0.9× 446 0.9× 259 0.9× 138 0.7× 61 0.6× 58 993
Kun Xu China 17 661 0.7× 441 0.9× 262 0.9× 145 0.7× 46 0.5× 41 899

Countries citing papers authored by Zihao Lei

Since Specialization
Citations

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

Fields of papers citing papers by Zihao Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zihao Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Zihao Lei. A scholar is included among the top collaborators of Zihao 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 Zihao Lei. Zihao 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, Zihao, et al.. (2025). Anomaly detection of machinery under time-varying operating conditions based on state-space and neural network modeling. Advanced Engineering Informatics. 65. 103285–103285.
2.
3.
Lei, Zihao, Di Zhao, Guangrui Wen, et al.. (2025). A patch-interactive enhancement network for semiconductor wafer map mixed defect recognition with a two-stage training strategy. Measurement Science and Technology. 36(4). 45403–45403. 4 indexed citations
4.
5.
Zhang, Xinrong, et al.. (2025). Robust path-tracking control for intelligent vehicles considering human–vehicle multi-factors. Journal of Vibration and Control. 32(7-8). 1550–1571. 1 indexed citations
6.
Lei, Zihao, Zhaojun Li, Guangrui Wen, et al.. (2025). SFUGDA: Source-free unsupervised multiscale graph domain adaptation network with privacy-preserving for cross-domain fault diagnosis of offshore wind turbines. Mechanical Systems and Signal Processing. 235. 112896–112896. 6 indexed citations
7.
Lei, Zihao, Yi Zhou, Xiang Xue, et al.. (2025). Eddy current testing in nickel-based superalloy turbine blades: Finite element modeling and tiny crack defects analysis. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 240(3). 396–412.
8.
9.
Lei, Zihao, Yu Su, Zhaojun Li, et al.. (2025). Adaptive Weighted Cost-Sensitive Learning-Driven Improved Dense Convolutional Neural Network for Imbalanced Fault Diagnosis under Limited Fault Samples. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering. 11(2). 1 indexed citations
10.
Wen, Guangrui, et al.. (2025). Deep digital twin-powered large vision-language model for multi-scenario industrial fault diagnosis. Advanced Engineering Informatics. 69. 103997–103997. 1 indexed citations
11.
Wen, Guangrui, et al.. (2025). Virtual-physical mapping network-driven digital twin for intelligent fault diagnosis with imbalanced samples. Computers & Industrial Engineering. 213. 111783–111783.
12.
Lei, Zihao, Yu Su, Ke Feng, & Guangrui Wen. (2024). Interpretable operational condition attention-informed domain adaptation network for remaining useful life prediction under variable operational conditions. Control Engineering Practice. 153. 106080–106080. 10 indexed citations
13.
Zhou, Haoxuan, et al.. (2024). Unsupervised anomaly detection of machines operating under time-varying conditions: DCD-VAE enabled feature disentanglement of operating conditions and states. Reliability Engineering & System Safety. 256. 110653–110653. 2 indexed citations
14.
Lei, Zihao, Yu Su, Guangrui Wen, et al.. (2024). Unsupervised graph transfer network with hybrid attention mechanism for fault diagnosis under variable operating conditions. Reliability Engineering & System Safety. 255. 110684–110684. 15 indexed citations
15.
Zhang, Yongchao, Jinchen Ji, Zhaohui Ren, et al.. (2023). Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing. Reliability Engineering & System Safety. 234. 109186–109186. 236 indexed citations breakdown →
16.
Zhang, Yongchao, Kun Yu, Zihao Lei, et al.. (2023). Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning. Expert Systems with Applications. 232. 120854–120854. 98 indexed citations breakdown →
17.
Zhou, Haoxuan, et al.. (2023). A novel denoising strategy based on sparse modeling for rotating machinery fault detection under time-varying operating conditions. Measurement. 210. 112534–112534. 14 indexed citations
18.
Zhou, Haoxuan, Zihao Lei, Enrico Zio, et al.. (2023). Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions. Mechanical Systems and Signal Processing. 191. 110139–110139. 27 indexed citations
19.
Xu, Yadong, Ke Feng, Xiaoan Yan, et al.. (2023). CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery. Information Fusion. 95. 1–16. 136 indexed citations breakdown →
20.
Chen, Hongming, Zihao Lei, Guangrui Wen, et al.. (2022). A novel complex network community clustering method for fault diagnosis. Measurement Science and Technology. 34(1). 14010–14010. 5 indexed citations

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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