Kai Zhou

801 total citations
53 papers, 412 citations indexed

About

Kai Zhou is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Kai Zhou has authored 53 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 15 papers in Information Systems and 14 papers in Computer Networks and Communications. Recurrent topics in Kai Zhou's work include Advanced Graph Neural Networks (9 papers), Network Security and Intrusion Detection (8 papers) and Complex Network Analysis Techniques (7 papers). Kai Zhou is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Network Security and Intrusion Detection (8 papers) and Complex Network Analysis Techniques (7 papers). Kai Zhou collaborates with scholars based in United States, Hong Kong and China. Kai Zhou's co-authors include Jian Ren, Adeel Zaidi, Friederich Kupzog, Peter Pálenský, Yevgeniy Vorobeychik, Xiapu Luo, Tongtong Li, Kaifa Zhao, Tomasz Michalak and Michael Zillich and has published in prestigious journals such as Scientific Reports, Trends in Food Science & Technology and IEEE Access.

In The Last Decade

Kai Zhou

45 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Zhou United States 12 204 132 97 88 76 53 412
Xuhong Zhang China 13 235 1.2× 132 1.0× 151 1.6× 67 0.8× 111 1.5× 85 502
Dejun Mu China 12 374 1.8× 89 0.7× 109 1.1× 33 0.4× 138 1.8× 52 555
Qiben Yan United States 10 183 0.9× 108 0.8× 109 1.1× 42 0.5× 109 1.4× 24 422
Helena Rifà-Pous Spain 13 249 1.2× 102 0.8× 329 3.4× 83 0.9× 73 1.0× 42 539
Chunlai Du China 7 196 1.0× 141 1.1× 193 2.0× 49 0.6× 52 0.7× 24 425
Mohit Sharma India 9 142 0.7× 147 1.1× 36 0.4× 73 0.8× 60 0.8× 42 402
Ching‐Hsien Hsu Taiwan 14 111 0.5× 165 1.3× 206 2.1× 64 0.7× 46 0.6× 33 404
Ariel M. Sison Philippines 11 261 1.3× 126 1.0× 85 0.9× 212 2.4× 68 0.9× 105 474
Bo Hang China 11 143 0.7× 79 0.6× 105 1.1× 51 0.6× 59 0.8× 50 351
Hudan Studiawan Indonesia 12 191 0.9× 158 1.2× 174 1.8× 88 1.0× 100 1.3× 77 425

Countries citing papers authored by Kai Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Zhou. A scholar is included among the top collaborators of Kai Zhou 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 Kai Zhou. Kai Zhou 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.
Zhou, Kai, Wei Chen, Chang Liu, et al.. (2025). Comparative genomic analysis of the core virulence factor in Klebsiella pneumoniae ST11, based on a global genomic database. Microbial Pathogenesis. 204. 107575–107575.
2.
Gong, Dao, et al.. (2025). Unsupervised domain adaptation method for bearing fault diagnosis assisted by twin data under extreme sample scarcity. Mechanical Systems and Signal Processing. 239. 113359–113359. 1 indexed citations
3.
Liu, Yanan, Lin Luo, Gangliang Huang, Kai Zhou, & Zhenlin Xu. (2025). Visual detection of biogenic amines in foods - Current technologies, challenges, and future prospects. Trends in Food Science & Technology. 161. 105049–105049. 5 indexed citations
4.
Yang, Xiao, Gaolei Li, Kai Zhou, et al.. (2025). Exploring Graph Neural Backdoors in Vehicular Networks: Fundamentals, Methodologies, Applications, and Future Perspectives. IEEE Open Journal of Vehicular Technology. 6. 1051–1071.
5.
Zhou, Kai, et al.. (2024). Adversarial analysis of similarity-based sign prediction. Artificial Intelligence. 335. 104173–104173. 1 indexed citations
6.
Zhou, Kai, et al.. (2024). Black-Box Attacks Against Signed Graph Analysis via Balance Poisoning. 530–535. 1 indexed citations
7.
Zhao, Kaifa, et al.. (2024). From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6174–6187. 2 indexed citations
8.
Li, Liying, et al.. (2024). Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection. IEEE Transactions on Information Forensics and Security. 19. 9315–9329. 2 indexed citations
9.
Zhang, Xiaoge, et al.. (2023). Toward Certified Robustness of Graph Neural Networks in Adversarial AIoT Environments. IEEE Internet of Things Journal. 10(15). 13920–13932.
10.
Fan, Wenqi, et al.. (2023). Toward Adversarially Robust Recommendation From Adaptive Fraudster Detection. IEEE Transactions on Information Forensics and Security. 19. 907–919. 4 indexed citations
11.
Zhou, Kai, et al.. (2023). Interval model of a wind turbine power curve. Frontiers in Energy Research. 11. 2 indexed citations
12.
Zhao, Kaifa, Hao Zhou, Xian Zhan, et al.. (2021). Structural Attack against Graph Based Android Malware Detection. 3218–3235. 30 indexed citations
13.
Zhou, Kai & Yevgeniy Vorobeychik. (2020). Robust Collective Classification against Structural Attacks.. arXiv (Cornell University). 250–259. 2 indexed citations
14.
Zhou, Kai, et al.. (2019). How to Hide One’s Relationships from Link Prediction Algorithms. Scientific Reports. 9(1). 12208–12208. 17 indexed citations
15.
Zhou, Kai, et al.. (2018). Adversarial Link Prediction in Social Networks.. arXiv (Cornell University). 4 indexed citations
16.
Zhou, Kai & Jian Ren. (2018). CASO: Cost-Aware Secure Outsourcing of General Computational Problems. IEEE Transactions on Services Computing. 14(2). 386–399. 6 indexed citations
17.
Zhou, Kai, et al.. (2016). Big Data Technology Based Important User Power Supply Security Analysis. 40(8). 2495. 1 indexed citations
18.
Zhou, Kai, Michael Zillich, Hendrik Zender, & Markus Vincze. (2012). Web mining driven object locality knowledge acquisition for efficient robot behavior. 3962–3969. 12 indexed citations
19.
20.
Pálenský, Peter, Friederich Kupzog, Adeel Zaidi, & Kai Zhou. (2008). Modeling domestic housing loads for demand response. 2742–2747. 25 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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