Zehui Zhang

1.9k total citations · 1 hit paper
54 papers, 1.4k citations indexed

About

Zehui Zhang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Zehui Zhang has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Zehui Zhang's work include Advanced Battery Technologies Research (7 papers), Fault Detection and Control Systems (6 papers) and Fuel Cells and Related Materials (6 papers). Zehui Zhang is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Fault Detection and Control Systems (6 papers) and Fuel Cells and Related Materials (6 papers). Zehui Zhang collaborates with scholars based in China, Austria and United Kingdom. Zehui Zhang's co-authors include Cong Guan, Hui Chen, Wenfeng Gong, Haibo Gao, Meiling Zhang, Ruihan Wang, Weiwei Huo, Junsheng Cheng, Xiaogang Li and Qin Wang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Zehui Zhang

48 papers receiving 1.3k citations

Hit Papers

A Novel Deep Learning Method for Intelligent Fault Diagno... 2019 2026 2021 2023 2019 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zehui Zhang China 17 478 373 286 249 149 54 1.4k
Rubiyah Yusof Malaysia 23 470 1.0× 352 0.9× 93 0.3× 469 1.9× 117 0.8× 108 1.8k
Hongwei Zhang China 21 430 0.9× 592 1.6× 125 0.4× 222 0.9× 474 3.2× 169 2.3k
Ahmad H. Milyani Saudi Arabia 24 806 1.7× 556 1.5× 124 0.4× 207 0.8× 212 1.4× 114 1.5k
R. Sitharthan India 26 1.0k 2.1× 471 1.3× 93 0.3× 157 0.6× 109 0.7× 72 1.7k
Qiqiang Li China 20 882 1.8× 1.1k 2.9× 68 0.2× 199 0.8× 207 1.4× 83 2.1k
Ali Ghasemi Iran 24 1.0k 2.2× 937 2.5× 233 0.8× 203 0.8× 121 0.8× 84 2.0k
Aiying Rong Finland 24 716 1.5× 414 1.1× 55 0.2× 198 0.8× 292 2.0× 50 2.5k
Haris M. Khalid United Arab Emirates 26 908 1.9× 837 2.2× 254 0.9× 396 1.6× 126 0.8× 97 2.2k
Xiuli Wang China 21 968 2.0× 808 2.2× 142 0.5× 148 0.6× 76 0.5× 131 1.7k
Shuting Wang China 29 293 0.6× 339 0.9× 146 0.5× 146 0.6× 428 2.9× 175 2.7k

Countries citing papers authored by Zehui Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Zehui Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zehui Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Zehui Zhang. A scholar is included among the top collaborators of Zehui 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 Zehui Zhang. Zehui 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, Zehui & Jici Wen. (2025). Probabilistic interface failure model of composite electrodes in all-solid-state batteries under mechanical-diffusion coupling. Theoretical and Applied Mechanics Letters. 15(4). 100593–100593.
2.
Zhang, Zehui, et al.. (2025). Enhanced selectivity of water-alcohol with cross-linked polybenzimidazole (PBI) membrane: Insight from molecular dynamics simulation. Journal of Water Process Engineering. 78. 108784–108784.
3.
Zhang, Zehui, et al.. (2025). Privacy preserving federated learning for proton exchange membrane fuel cell. Renewable and Sustainable Energy Reviews. 212. 115407–115407. 3 indexed citations
5.
Xu, Xiaobin, et al.. (2024). A novel evidence reasoning-based RUL prediction method integrating uncertainty information. Reliability Engineering & System Safety. 250. 110250–110250. 9 indexed citations
6.
Guo, Zhendong, et al.. (2024). CS-SLAM: A Lightweight Semantic SLAM Method for Dynamic Scenarios. IEEE Transactions on Cognitive and Developmental Systems. 17(5). 1061–1073. 1 indexed citations
7.
Xu, Xiaobin, Weidong Huang, Xuelin Zhang, et al.. (2024). An evidential reasoning-based information fusion method for fault diagnosis of ship rudder. Ocean Engineering. 318. 120082–120082. 3 indexed citations
8.
Xu, Jin, et al.. (2023). Predicting shield position deviation based on double-path hybrid deep neural networks. Automation in Construction. 148. 104775–104775. 19 indexed citations
9.
Zhang, Zehui, et al.. (2023). Efficient Privacy‐Preserving Federated Deep Learning for Network Intrusion of Industrial IoT. International Journal of Intelligent Systems. 2023(1). 11 indexed citations
10.
Wang, Kunshu, et al.. (2023). Hashing-based remote sensing image tamper detection system. Digital Signal Processing. 140. 104101–104101. 3 indexed citations
11.
Xu, Xiaobin, et al.. (2023). A cloud model-based interval-valued evidence fusion method and its application in fault diagnosis. Information Sciences. 658. 119995–119995. 11 indexed citations
12.
Zhang, Zehui, Luyao Zhang, Shengli Niu, et al.. (2022). Molecular Basis for Luteolin as a Natural TatD DNase Inhibitor in Trueperella pyogenes. International Journal of Molecular Sciences. 23(15). 8374–8374. 7 indexed citations
13.
Zhang, Zehui, et al.. (2022). Luteolin increases susceptibility to macrolides by inhibiting MsrA efflux pump in Trueperella pyogenes. Veterinary Research. 53(1). 3–3. 19 indexed citations
14.
Zhang, Zehui, et al.. (2022). Medical images lossless recovery based on POB number system and image compression. Multimedia Tools and Applications. 81(8). 11415–11440. 8 indexed citations
15.
Zhang, Zehui, et al.. (2021). Privacy-enhanced momentum federated learning via differential privacy and chaotic system in industrial Cyber–Physical systems. ISA Transactions. 128(Pt A). 17–31. 26 indexed citations
16.
Zhang, Zehui, et al.. (2021). Federated transfer learning for disaster classification in social computing networks. Journal of Safety Science and Resilience. 3(1). 15–23. 17 indexed citations
17.
Liu, Yan, et al.. (2020). <p>The Antibacterial Activity and Mechanism of Action of Luteolin Against <em>Trueperella pyogenes</em></p>. Infection and Drug Resistance. Volume 13. 1697–1711. 81 indexed citations
18.
Gong, Wenfeng, Hui Chen, Zehui Zhang, Meiling Zhang, & Haibo Gao. (2020). A Data-Driven-Based Fault Diagnosis Approach for Electrical Power DC-DC Inverter by Using Modified Convolutional Neural Network With Global Average Pooling and 2-D Feature Image. IEEE Access. 8. 73677–73697. 85 indexed citations
19.
Zhang, Zehui, Yao Fu, & Tiegang Gao. (2020). A Hybrid Image Encryption Algorithm Based on Chaos System and Simplified Advanced Encryption System. RePEc: Research Papers in Economics. 11(4). 1–24. 5 indexed citations
20.
Chen, Du, Ming Gao, An Liu, et al.. (2019). A Recurrent Neural Network Based Approach for Web Service QoS Prediction. 9. 350–357. 11 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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