Guofei Gu

12.6k total citations · 10 hit papers
120 papers, 8.1k citations indexed

About

Guofei Gu is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Guofei Gu has authored 120 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Computer Networks and Communications, 62 papers in Signal Processing and 60 papers in Artificial Intelligence. Recurrent topics in Guofei Gu's work include Network Security and Intrusion Detection (72 papers), Advanced Malware Detection Techniques (59 papers) and Software-Defined Networks and 5G (34 papers). Guofei Gu is often cited by papers focused on Network Security and Intrusion Detection (72 papers), Advanced Malware Detection Techniques (59 papers) and Software-Defined Networks and 5G (34 papers). Guofei Gu collaborates with scholars based in United States, China and Hong Kong. Guofei Gu's co-authors include Wenke Lee, Seungwon Shin, Phillip Porras, Vinod Yegneswaran, Roberto Perdisci, Lei Xu, Martin Fong, Haopei Wang, Chao Yang and Junjie Zhang and has published in prestigious journals such as ACM Computing Surveys, IEEE Transactions on Knowledge and Data Engineering and IEEE/ACM Transactions on Networking.

In The Last Decade

Guofei Gu

117 papers receiving 7.6k citations

Hit Papers

BotMiner: clustering analysis of network traffic for prot... 2007 2026 2013 2019 2008 2008 2007 2013 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guofei Gu United States 39 6.6k 4.1k 3.7k 2.4k 619 120 8.1k
Dongyan Xu United States 42 3.8k 0.6× 2.1k 0.5× 2.2k 0.6× 2.2k 0.9× 405 0.7× 200 5.4k
Angelos D. Keromytis United States 40 4.1k 0.6× 4.1k 1.0× 2.8k 0.8× 2.0k 0.8× 363 0.6× 219 6.5k
Michael Bailey United States 35 3.2k 0.5× 2.6k 0.6× 2.2k 0.6× 1.9k 0.8× 142 0.2× 94 4.8k
Engin Kirda United States 46 4.8k 0.7× 4.6k 1.1× 6.0k 1.6× 5.4k 2.3× 1.5k 2.4× 147 9.1k
Angelos Stavrou United States 31 3.2k 0.5× 2.1k 0.5× 2.3k 0.6× 1.5k 0.6× 251 0.4× 175 4.5k
Davide Balzarotti France 37 2.2k 0.3× 2.3k 0.6× 2.8k 0.8× 2.4k 1.0× 643 1.0× 113 4.5k
Miguel Castro United States 36 9.3k 1.4× 2.6k 0.6× 1.0k 0.3× 3.7k 1.6× 249 0.4× 96 10.9k
Karl Levitt United States 30 3.2k 0.5× 1.9k 0.5× 1.5k 0.4× 1.1k 0.5× 579 0.9× 123 4.7k
Heejo Lee South Korea 27 2.8k 0.4× 1.6k 0.4× 1.2k 0.3× 1.0k 0.4× 273 0.4× 123 3.9k
R. Sekar United States 34 2.4k 0.4× 3.1k 0.7× 2.7k 0.7× 1.4k 0.6× 335 0.5× 101 4.3k

Countries citing papers authored by Guofei Gu

Since Specialization
Citations

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

Fields of papers citing papers by Guofei Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guofei Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Guofei Gu. A scholar is included among the top collaborators of Guofei Gu 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 Guofei Gu. Guofei Gu 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, Zhihao, Lei Xue, Xiapu Luo, Xiaobo Ma, & Guofei Gu. (2025). Driving State-Aware Anomaly Detection for Autonomous Vehicles. IEEE Transactions on Information Forensics and Security. 20. 3788–3803. 1 indexed citations
2.
Huang, Heqing, et al.. (2025). LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights. ACM Computing Surveys. 58(5). 1–35. 2 indexed citations
4.
Lee, Seungsoo, et al.. (2024). Enhancing security in SDN: Systematizing attacks and defenses from a penetration perspective. Computer Networks. 241. 110203–110203. 9 indexed citations
5.
Gu, Guofei, et al.. (2023). #DM-Me: Susceptibility to Direct Messaging-Based Scams. 494–508. 1 indexed citations
6.
Stoleru, Radu, et al.. (2022). On Detecting Route Hijacking Attack in Opportunistic Mobile Networks. IEEE Transactions on Dependable and Secure Computing. 20(3). 2516–2532. 6 indexed citations
7.
Li, Guanyu, Menghao Zhang, Shicheng Wang, et al.. (2021). Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches. IEEE/ACM Transactions on Networking. 29(4). 1509–1526. 20 indexed citations
8.
Cao, Jiahao, et al.. (2020). When Match Fields Do Not Need to Match: Buffered Packets Hijacking in SDN. 18 indexed citations
9.
Yang, Guangliang, Jeff Huang, & Guofei Gu. (2019). Iframes/Popups Are Dangerous in Mobile WebView: Studying and Mitigating Differential Context Vulnerabilities. USENIX Security Symposium. 977–994. 6 indexed citations
10.
Ahn, Gail‐Joon, Guofei Gu, Hongxin Hu, & Seungwon Shin. (2019). Guest Editors’ Introduction: Special Section on Security in Emerging Networking Technologies. IEEE Transactions on Dependable and Secure Computing. 16(6). 913–914. 2 indexed citations
11.
Cao, Jiahao, Qi Li, Kun Sun, et al.. (2019). The CrossPath Attack: Disrupting the SDN Control Channel via Shared Links.. USENIX Security Symposium. 19–36. 33 indexed citations
12.
Xu, Lei, Jeff Huang, Sungmin Hong, Jialong Zhang, & Guofei Gu. (2017). Attacking the Brain: Races in the SDN Control Plane. USENIX Security Symposium. 451–468. 40 indexed citations
13.
Han, Weili, et al.. (2016). Shadow Attacks Based on Password Reuses: A Quantitative Empirical Analysis. IEEE Transactions on Dependable and Secure Computing. 15(2). 309–320. 31 indexed citations
14.
Nan, Yuhong, Min Yang, Zhemin Yang, et al.. (2015). UIPicker: user-input privacy identification in mobile applications. USENIX Security Symposium. 993–1008. 66 indexed citations
15.
Wang, Haopei, Lei Xu, & Guofei Gu. (2015). FloodGuard: A DoS Attack Prevention Extension in Software-Defined Networks. 239–250. 272 indexed citations breakdown →
16.
Zhang, Jialong & Guofei Gu. (2013). NEIGHBORWATCHER: A Content-Agnostic Comment Spam Inference System.. Network and Distributed System Security Symposium. 14 indexed citations
17.
Gu, Guofei, et al.. (2013). CATS: Characterizing automation of Twitter spammers. 1–10. 75 indexed citations
18.
Gu, Guofei, Roberto Perdisci, Junjie Zhang, & Wenke Lee. (2008). BotMiner: clustering analysis of network traffic for protocol- and structure-independent botnet detection. Journal of Bioresource Management. 139–154. 664 indexed citations breakdown →
19.
Gu, Guofei, Phillip Porras, Vinod Yegneswaran, Martin Fong, & Wenke Lee. (2007). BotHunter: detecting malware infection through IDS-driven dialog correlation. USENIX Security Symposium. 12. 454 indexed citations breakdown →
20.
Perdisci, Roberto, Guofei Gu, & Wenke Lee. (2006). Using an Ensemble of One-Class SVM Classifiers to Harden Payload-based Anomaly Detection Systems. 488–498. 159 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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