Chenhan Zhang

992 total citations
39 papers, 573 citations indexed

About

Chenhan Zhang is a scholar working on Artificial Intelligence, Building and Construction and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenhan Zhang has authored 39 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Building and Construction and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenhan Zhang's work include Traffic Prediction and Management Techniques (12 papers), Privacy-Preserving Technologies in Data (9 papers) and Adversarial Robustness in Machine Learning (7 papers). Chenhan Zhang is often cited by papers focused on Traffic Prediction and Management Techniques (12 papers), Privacy-Preserving Technologies in Data (9 papers) and Adversarial Robustness in Machine Learning (7 papers). Chenhan Zhang collaborates with scholars based in Australia, China and Taiwan. Chenhan Zhang's co-authors include James J. Q. Yu, Shui Yu, Yi Liu, Shuyu Zhang, Kaiyue Zhang, Xuan Song, Zhiyi Tian, Shiyao Zhang, Lijun Ling and Yihan Lu and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and IEEE Transactions on Industrial Informatics.

In The Last Decade

Chenhan Zhang

29 papers receiving 559 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenhan Zhang Australia 13 243 206 139 87 69 39 573
Weihong Cai China 10 141 0.6× 113 0.5× 60 0.4× 82 0.9× 51 0.7× 32 363
Dan Luo China 10 57 0.2× 113 0.5× 75 0.5× 62 0.7× 52 0.8× 36 298
Farhana Choudhury Australia 10 86 0.4× 245 1.2× 212 1.5× 100 1.1× 82 1.2× 37 527
Laura Po Italy 14 234 1.0× 79 0.4× 44 0.3× 23 0.3× 80 1.2× 54 463
Sahibzada Ali Mahmud Pakistan 13 87 0.4× 65 0.3× 47 0.3× 80 0.9× 183 2.7× 54 436
Cao Jianping China 9 124 0.5× 63 0.3× 70 0.5× 17 0.2× 45 0.7× 28 345
Yifang Qin China 14 357 1.5× 43 0.2× 60 0.4× 20 0.2× 70 1.0× 37 644
Wangsheng Zhang China 8 62 0.3× 228 1.1× 405 2.9× 26 0.3× 80 1.2× 17 585
Arnaud Liefooghe France 14 333 1.4× 43 0.2× 36 0.3× 61 0.7× 23 0.3× 52 589

Countries citing papers authored by Chenhan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chenhan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenhan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chenhan Zhang. A scholar is included among the top collaborators of Chenhan 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 Chenhan Zhang. Chenhan 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.
Wang, Weiqi, et al.. (2025). CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning. IEEE Transactions on Dependable and Secure Computing. 22(4). 3916–3929.
2.
Chen, Wei, Yanpeng An, Cong Li, et al.. (2025). TraceMetrix: a traceable metabolomics interactive analysis platform. Journal of Cheminformatics. 17(1). 148–148.
3.
Tian, Zhiyi, Weiqi Wang, Chenhan Zhang, & Shui Yu. (2025). Model-Enabled Task-Oriented Semantic Communications Through Knowledge Synchronization. IEEE Transactions on Cognitive Communications and Networking. 11(5). 3371–3383. 1 indexed citations
4.
Tian, Zhiyi, Chenhan Zhang, Weiqi Wang, Hanna Bogucka, & Shui Yu. (2024). ROSE: A Receiver-Oriented Semantic Communication Framework. IEEE Network. 39(2). 216–223.
5.
Wang, Weiqi, Chenhan Zhang, Zhiyi Tian, & Shui Yu. (2024). FedU: Federated Unlearning via User-Side Influence Approximation Forgetting. IEEE Transactions on Dependable and Secure Computing. 22(3). 2550–2562.
6.
Zhang, Chenhan, Weiqi Wang, Zhiyi Tian, & Shui Yu. (2024). Forgetting and Remembering Are Both You Need: Balanced Graph Structure Unlearning. IEEE Transactions on Information Forensics and Security. 19. 6751–6763.
7.
Wang, Weiqi, Zhiyi Tian, Chenhan Zhang, & Shui Yu. (2024). SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications. IEEE Transactions on Information Forensics and Security. 20. 547–558. 1 indexed citations
8.
Wang, Weiqi, Zhiyi Tian, Chenhan Zhang, An Liu, & Shui Yu. (2023). BFU: Bayesian Federated Unlearning with Parameter Self-Sharing. 567–578. 12 indexed citations
9.
Tian, Zhiyi, et al.. (2023). The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Transactions on Dependable and Secure Computing. 21(4). 2407–2420. 6 indexed citations
10.
Cai, Yuqing, et al.. (2023). The potential of load identification and regulation in the textile industry. Journal of Physics Conference Series. 2584(1). 12035–12035.
12.
Zhang, Chenhan, Weiqi Wang, James J. Q. Yu, & Shui Yu. (2023). Extracting Privacy-Preserving Subgraphs in Federated Graph Learning using Information Bottleneck. 109–121. 1 indexed citations
14.
Zhang, Chenhan, et al.. (2022). Toward Large-Scale Graph-Based Traffic Forecasting: A Data-Driven Network Partitioning Approach. IEEE Internet of Things Journal. 10(5). 4506–4519. 6 indexed citations
15.
Zhang, Chenhan, Shiyao Zhang, Shui Yu, & James J. Q. Yu. (2022). Graph-Based Traffic Forecasting via Communication-Efficient Federated Learning. 2022 IEEE Wireless Communications and Networking Conference (WCNC). 2041–2046. 13 indexed citations
16.
Zhang, Chenhan, et al.. (2021). Toward Crowdsourced Transportation Mode Identification: A Semisupervised Federated Learning Approach. IEEE Internet of Things Journal. 9(14). 11868–11882. 20 indexed citations
17.
Zhang, Kaiyue, Xuan Song, Chenhan Zhang, & Shui Yu. (2021). Challenges and future directions of secure federated learning: a survey. Frontiers of Computer Science. 16(5). 165817–165817. 77 indexed citations
18.
Zhang, Chenhan, Lei Cui, Shui Yu, & James J. Q. Yu. (2021). A Communication-Efficient Federated Learning Scheme for IoT-Based Traffic Forecasting. IEEE Internet of Things Journal. 9(14). 11918–11931. 26 indexed citations
19.
Zhang, Chenhan, James J. Q. Yu, & Yi Liu. (2019). Spatial-Temporal Graph Attention Networks: A Deep Learning Approach for Traffic Forecasting. IEEE Access. 7. 166246–166256. 119 indexed citations
20.
Zhang, Chenhan, et al.. (2017). Shikonin reduces tamoxifen resistance through long non-coding RNA uc.57. Oncotarget. 8(51). 88658–88669. 30 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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