Kai Chen

7.1k total citations · 3 hit papers
184 papers, 3.9k citations indexed

About

Kai Chen is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Kai Chen has authored 184 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 70 papers in Signal Processing and 54 papers in Information Systems. Recurrent topics in Kai Chen's work include Advanced Malware Detection Techniques (57 papers), Network Security and Intrusion Detection (30 papers) and Adversarial Robustness in Machine Learning (28 papers). Kai Chen is often cited by papers focused on Advanced Malware Detection Techniques (57 papers), Network Security and Intrusion Detection (30 papers) and Adversarial Robustness in Machine Learning (28 papers). Kai Chen collaborates with scholars based in China, United States and Australia. Kai Chen's co-authors include Peng Liu, Yi Zhou, Jianhua He, Zuoyin Tang, Wei Jian, Jin Li, Zhengan Huang, Ping Li, Chong Gao and Ying‐Jun Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Kai Chen

167 papers receiving 3.8k citations

Hit Papers

Collaborative filtering and deep learning based recommend... 2016 2026 2019 2022 2016 2017 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Chen China 28 1.6k 1.5k 1.4k 1.1k 639 184 3.9k
Hao Zhong China 28 1.2k 0.8× 412 0.3× 393 0.3× 490 0.4× 844 1.3× 225 2.9k
Zhiyong Feng China 23 811 0.5× 1.0k 0.7× 273 0.2× 546 0.5× 143 0.2× 263 2.3k
Stefan Wagner Germany 28 1.4k 0.9× 637 0.4× 110 0.1× 482 0.4× 736 1.2× 241 3.3k
Christian Kästner Germany 54 6.5k 4.1× 5.8k 3.9× 395 0.3× 2.6k 2.3× 2.8k 4.4× 270 9.9k
Christian Becker Germany 27 1.2k 0.7× 1.8k 1.2× 242 0.2× 1.9k 1.7× 75 0.1× 196 4.2k
Tsutomu Matsumoto Japan 23 655 0.4× 534 0.4× 839 0.6× 582 0.5× 30 0.0× 214 2.8k
David L. Waltz United States 23 489 0.3× 2.2k 1.4× 350 0.2× 628 0.6× 67 0.1× 80 4.1k
Chunhua Su Japan 31 1.7k 1.1× 1.4k 0.9× 418 0.3× 1.5k 1.3× 23 0.0× 202 3.8k
Robert C. Miller United States 29 750 0.5× 413 0.3× 377 0.3× 474 0.4× 293 0.5× 64 3.2k
Pablo G. Bringas Spain 22 703 0.4× 585 0.4× 912 0.6× 844 0.8× 206 0.3× 124 1.7k

Countries citing papers authored by Kai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Chen. A scholar is included among the top collaborators of Kai Chen 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 Chen. Kai Chen 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, Zhiyu, et al.. (2025). Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-Based RAG. Proceedings of the ACM on software engineering.. 2(ISSTA). 848–870.
2.
Gao, Yansong, Anmin Fu, Kai Chen, et al.. (2025). TruVRF: Toward Triple-Granularity Verification on Machine Unlearning. IEEE Transactions on Information Forensics and Security. 20. 4844–4859. 1 indexed citations
3.
Zhang, Chao, et al.. (2025). BinQuery: A Novel Framework for Natural Language-Based Binary Code Retrieval. Proceedings of the ACM on software engineering.. 2(ISSTA). 1167–1189.
4.
Wang, Yifan, Jiyue Zhang, Kai Chen, et al.. (2025). Recent advancements in carbon capture materials research: innovative optimization of materials synthesis and engineering applications. Journal of Materials Chemistry A. 13(29). 23323–23353. 3 indexed citations
5.
6.
Chen, Kai, et al.. (2024). Speech extraction under extremely low SNR conditions. Applied Acoustics. 224. 110149–110149. 1 indexed citations
7.
Zhou, Jiachen, et al.. (2024). DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. Proceedings of the AAAI Conference on Artificial Intelligence. 38(19). 21850–21858. 2 indexed citations
8.
Sun, Wei, et al.. (2024). High‐Power‐Density Rechargeable Hybrid Alkali/Acid Zn–Air Battery Performance Through Value‐Added Conversion Charging. Advanced Science. 11(23). e2402343–e2402343. 17 indexed citations
9.
Chen, Kai, et al.. (2024). Engineering and finetuning expression of SerC for balanced metabolic flux in vitamin B6 production. Synthetic and Systems Biotechnology. 9(2). 388–398.
10.
Wang, Weiping, et al.. (2024). Foolmix: Strengthen the Transferability of Adversarial Examples by Dual-Blending and Direction Update Strategy. IEEE Transactions on Information Forensics and Security. 19. 5286–5300. 1 indexed citations
11.
Wang, Weiping, et al.. (2024). UCG: A Universal Cross-Domain Generator for Transferable Adversarial Examples. IEEE Transactions on Information Forensics and Security. 19. 3023–3037. 3 indexed citations
12.
Chen, Kai, et al.. (2023). Multi-feature generation network-based imputation method for industrial data with high missing rate. Expert Systems with Applications. 227. 120229–120229. 5 indexed citations
13.
Zhang, Zhen, et al.. (2023). Phishing Node Detection in Ethereum Transaction Network Using Graph Convolutional Networks. Applied Sciences. 13(11). 6430–6430. 3 indexed citations
14.
Zhang, Yachao, Jincheng Zhang, Yixin Yao, et al.. (2023). Threading dislocation and lattice stress modulation of Si based GaN material with AlPN nucleation layer. Journal of Luminescence. 263. 120016–120016. 1 indexed citations
15.
Yang, Dehong, Jun Xu, Kai Chen, et al.. (2022). BmPMFBP1 regulates the development of eupyrene sperm in the silkworm, Bombyx mori. PLoS Genetics. 18(3). e1010131–e1010131. 19 indexed citations
16.
Chen, Kai, Ye Yu, Dehong Yang, et al.. (2020). Gtsf1 is essential for proper female sex determination and transposon silencing in the silkworm, Bombyx mori. PLoS Genetics. 16(11). e1009194–e1009194. 23 indexed citations
17.
Chen, Kai, et al.. (2020). {SkillExplorer}: Understanding the Behavior of Skills in Large Scale. USENIX Security Symposium. 2649–2666. 14 indexed citations
18.
Chen, Kai. (2019). Value management in Blockchain technology related projects. SHILAP Revista de lepidopterología. 13(1). 194–205. 2 indexed citations
19.
Xiong, Jie, Wentao Yang, Kai Chen, et al.. (2019). Hidden genomic evolution in a morphospecies—The landscape of rapidly evolving genes in Tetrahymena. PLoS Biology. 17(6). e3000294–e3000294. 35 indexed citations
20.
Zhong, Chen, et al.. (2018). A cyber security data triage operation retrieval system. Computers & Security. 76. 12–31. 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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