Guowei Zhang

638 total citations
43 papers, 427 citations indexed

About

Guowei Zhang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Guowei Zhang has authored 43 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 17 papers in Electrical and Electronic Engineering and 14 papers in Mechanical Engineering. Recurrent topics in Guowei Zhang's work include Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (10 papers) and Engineering Diagnostics and Reliability (7 papers). Guowei Zhang is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (10 papers) and Engineering Diagnostics and Reliability (7 papers). Guowei Zhang collaborates with scholars based in China, United States and Finland. Guowei Zhang's co-authors include Jinrui Wang, Baokun Han, Sixiang Jia, Hongbo Ma, Xianguang Kong, Jingli Du, Zenghui An, Xiao Zhang, Qibin Wang and Shanshan Ji and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Guowei Zhang

40 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guowei Zhang China 12 324 147 86 75 74 43 427
Paulo Rogério Scalassara Brazil 11 242 0.7× 127 0.9× 136 1.6× 83 1.1× 75 1.0× 32 489
Yuna Pan China 7 431 1.3× 280 1.9× 35 0.4× 27 0.4× 146 2.0× 9 555
Sachin Singh India 10 151 0.5× 53 0.4× 64 0.7× 153 2.0× 33 0.4× 52 394
Shan Pang China 9 197 0.6× 97 0.7× 104 1.2× 37 0.5× 74 1.0× 11 345
Qiao Yang China 7 218 0.7× 125 0.9× 67 0.8× 35 0.5× 69 0.9× 24 329
Hamid Reza Koofigar Iran 15 306 0.9× 80 0.5× 62 0.7× 122 1.6× 14 0.2× 50 519

Countries citing papers authored by Guowei Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Guowei Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guowei Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Guowei Zhang. A scholar is included among the top collaborators of Guowei Zhang 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 Guowei Zhang. Guowei Zhang 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.
Zhang, Guowei, Xianguang Kong, Hongbo Ma, et al.. (2025). Dual disentanglement domain generalization method for rotating Machinery fault diagnosis. Mechanical Systems and Signal Processing. 228. 112460–112460. 12 indexed citations
2.
Wang, Qibin, Chen-Yi Lin, Guowei Zhang, Jiacheng Wei, & Ji Han. (2025). From domain-invariant channel adaptation to prototype consistency learning: A novel framework for single domain generalization fault diagnosis. Knowledge-Based Systems. 332. 114872–114872.
3.
Wang, Lingqiao, Ke Cui, Guowei Zhang, et al.. (2025). Lead Causes Lipid Droplet Accumulation by Impairing Lysosomal Function and Autophagic Flux in Testicular Sertoli Cells. Toxics. 13(3). 175–175. 1 indexed citations
4.
Wang, Yu, Guowei Zhang, Xianguang Kong, Jingli Du, & Hongbo Ma. (2025). Federated Domain Generalization for Fault Diagnosis: Cross-Client Style Integration and Dual Alignment Representation. IEEE Internet of Things Journal. 12(13). 23297–23308. 3 indexed citations
5.
Wang, Qibin, et al.. (2025). Discrete wavelet convolutional network with cross-contrast perturbation for single domain generalization in fault diagnosis. Mechanical Systems and Signal Processing. 239. 113286–113286. 4 indexed citations
6.
Zhang, Guowei, Xianguang Kong, Qibin Wang, et al.. (2024). Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis. Reliability Engineering & System Safety. 250. 110252–110252. 18 indexed citations
7.
Ma, Hongbo, Jiacheng Wei, Guowei Zhang, Xianguang Kong, & Jingli Du. (2024). Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions. Reliability Engineering & System Safety. 252. 110439–110439. 15 indexed citations
8.
Zhang, Guowei, Xianguang Kong, Jingli Du, et al.. (2023). Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery. Engineering Applications of Artificial Intelligence. 120. 105847–105847. 18 indexed citations
9.
Zhang, Xin, Jingxin Nie, Guowei Zhang, et al.. (2022). Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. IEEE Transactions on Medical Imaging. 41(10). 2764–2776. 32 indexed citations
10.
Han, Baokun, et al.. (2022). Fast general normalized convolutional sparse filtering via L1-L2 mixed norm for rotating machinery fault diagnosis. Measurement. 198. 111136–111136. 8 indexed citations
11.
Zhang, Guowei, et al.. (2021). General normalized maximum mean discrepancy: intelligent fault identification method for bearings and gears under unstable conditions. Measurement Science and Technology. 32(10). 104001–104001. 10 indexed citations
12.
Bao, Huaiqian, Shanshan Ji, Jinrui Wang, et al.. (2021). An enhanced sparse filtering method for transfer fault diagnosis using maximum classifier discrepancy. Measurement Science and Technology. 32(8). 85105–85105. 31 indexed citations
13.
Wang, Jinrui, et al.. (2021). An identification method for mechanical fault diagnosis based on generalized matrix norm sparse filtering. Measurement Science and Technology. 32(12). 125115–125115. 4 indexed citations
14.
Han, Baokun, et al.. (2021). Intelligent rotating machinery fault diagnosis based on super-resolution enhancement using data augmentation under large speed fluctuation. Measurement Science and Technology. 32(12). 125105–125105. 3 indexed citations
15.
Zhang, Guowei, et al.. (2020). Development of a laser-triggered film switch for nanosecond rectangular pulse generator. Review of Scientific Instruments. 91(6). 64704–64704. 1 indexed citations
16.
Zhang, Guowei, Shanshan Ji, Baokun Han, & Sixiang Jia. (2020). An Intelligent Diagnosis Method of Bearing Fault Based on Acoustic Signal Processing. 137–140.
17.
Han, Baokun, et al.. (2020). A Novel Data Augmentation Method for Intelligent Fault Diagnosis Under Speed Fluctuation Condition. IEEE Access. 8. 143383–143396. 16 indexed citations
18.
Wang, Haiyang, et al.. (2014). Degraded Switching Characteristics of a High-Current, High-Action Reversely Switched Dynistor. IEEE Transactions on Power Electronics. 29(12). 6245–6248. 5 indexed citations
20.
Zhang, Guowei. (2009). Design of Wireless Monitoring and Control System of Coal Mine Based on GPRS. Gong-kuang zidonghua.

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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