Seungwon Shin

4.1k total citations · 2 hit papers
98 papers, 2.9k citations indexed

About

Seungwon Shin is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Seungwon Shin has authored 98 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Computer Networks and Communications, 32 papers in Information Systems and 32 papers in Artificial Intelligence. Recurrent topics in Seungwon Shin's work include Network Security and Intrusion Detection (55 papers), Software-Defined Networks and 5G (52 papers) and Advanced Malware Detection Techniques (27 papers). Seungwon Shin is often cited by papers focused on Network Security and Intrusion Detection (55 papers), Software-Defined Networks and 5G (52 papers) and Advanced Malware Detection Techniques (27 papers). Seungwon Shin collaborates with scholars based in South Korea, United States and Canada. Seungwon Shin's co-authors include Guofei Gu, Vinod Yegneswaran, Phillip Porras, Changhoon Yoon, Martin Fong, Mabry Tyson, Seungsoo Lee, Taejune Park, Heedo Kang and Chao Yang and has published in prestigious journals such as IEEE Access, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.

In The Last Decade

Seungwon Shin

95 papers receiving 2.8k citations

Hit Papers

AVANT-GUARD 2012 2026 2016 2021 2013 2012 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
Seungwon Shin South Korea 23 2.6k 1.2k 646 624 304 98 2.9k
Vinod Yegneswaran United States 26 3.5k 1.4× 2.0k 1.7× 1.5k 2.4× 880 1.4× 253 0.8× 79 3.9k
Manos Antonakakis United States 22 2.0k 0.8× 1.6k 1.3× 1.5k 2.4× 1.2k 1.9× 161 0.5× 46 2.7k
Anna Sperotto Netherlands 18 1.7k 0.6× 1.1k 0.9× 514 0.8× 529 0.8× 151 0.5× 84 1.9k
Marc Daciér France 20 1.7k 0.6× 1.1k 0.9× 914 1.4× 664 1.1× 69 0.2× 57 2.0k
David Dagon United States 20 2.3k 0.9× 1.7k 1.4× 1.4k 2.2× 1.1k 1.7× 126 0.4× 38 2.6k
Carol Fung United States 22 1.2k 0.5× 656 0.5× 369 0.6× 424 0.7× 143 0.5× 109 1.6k
Shiuh‐Pyng Shieh Taiwan 19 1.2k 0.5× 689 0.6× 503 0.8× 743 1.2× 200 0.7× 85 1.7k
Robin Sommer United States 20 2.0k 0.8× 1.5k 1.2× 879 1.4× 473 0.8× 102 0.3× 48 2.4k
Alysson Bessani Portugal 24 2.0k 0.8× 759 0.6× 168 0.3× 1.3k 2.1× 249 0.8× 108 2.5k
Christian Rossow Germany 25 1.7k 0.6× 1.4k 1.1× 1.5k 2.3× 1.1k 1.7× 122 0.4× 60 2.5k

Countries citing papers authored by Seungwon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Seungwon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungwon Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Seungwon Shin. A scholar is included among the top collaborators of Seungwon Shin 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 Seungwon Shin. Seungwon Shin 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.
Shin, Seungwon, et al.. (2025). CR-ATTACKER: Exploiting Crash-Reporting Systems Using Timing Gap and Unrestricted File-Based Workflow. IEEE Access. 13. 54439–54449. 1 indexed citations
2.
Shin, Seungwon, et al.. (2024). BotFence: A Framework for Network-Enriched Botnet Detection and Response With SmartNICs. IEEE Access. 12. 114878–114893. 2 indexed citations
3.
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
4.
Shin, Seungwon, et al.. (2024). Hyperion: Hardware-Based High-Performance and Secure System for Container Networks. IEEE Transactions on Cloud Computing. 12(3). 844–858. 3 indexed citations
5.
Shin, Seungwon, et al.. (2024). gShock: A GNN-Based Fingerprinting System for Permissioned Blockchain Networks Over Encrypted Channels. IEEE Access. 12. 146328–146342.
6.
Shin, Seungwon, et al.. (2024). CENSor: Detecting Illicit Bitcoin Operation via GCN-Based Hyperedge Classification. IEEE Access. 12. 152330–152346. 2 indexed citations
7.
Shin, Seungwon, et al.. (2024). Uncovering Threats in Container Systems: A Study on Misconfigured Container Components in the Wild. IEEE Access. 12. 192931–192945. 1 indexed citations
8.
Shin, Seungwon, et al.. (2023). Cryonics. 528–543. 1 indexed citations
9.
Lee, Seungsoo, et al.. (2020). BASTION: A Security Enforcement Network Stack for Container Networks.. USENIX Annual Technical Conference. 81–95. 13 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.
Yoon, Changhoon, et al.. (2019). Doppelgängers on the Dark Web: A Large-scale Assessment on Phishing Hidden Web Services. 2225–2235. 15 indexed citations
12.
Kang, Heedo, Vinod Yegneswaran, Shalini Ghosh, Phillip Porras, & Seungwon Shin. (2019). Automated Permission Model Generation for Securing SDN Control-Plane. IEEE Transactions on Information Forensics and Security. 15. 1668–1682. 14 indexed citations
13.
Lee, Yongjae & Seungwon Shin. (2018). Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach.. 3 indexed citations
14.
Yoon, Changhoon, et al.. (2018). INDAGO: A New Framework For Detecting Malicious SDN Applications. 220–230. 13 indexed citations
15.
Shin, Seungwon, et al.. (2017). Software-Defined HoneyNet: Towards Mitigating Link Flooding Attacks. 99–100. 17 indexed citations
16.
Shin, Seungwon, Lei Xu, Sungmin Hong, & Guofei Gu. (2016). Enhancing Network Security through Software Defined Networking (SDN). 1–9. 84 indexed citations
17.
Park, Taejune, et al.. (2016). UNISAFE. 13–18. 9 indexed citations
18.
Lee, Seungsoo, Changhoon Yoon, & Seungwon Shin. (2016). The Smaller, the Shrewder. 23–28. 34 indexed citations
19.
Shin, Seungwon, et al.. (2011). A Large-Scale Empirical Study of Conficker. IEEE Transactions on Information Forensics and Security. 7(2). 676–690. 45 indexed citations
20.
Shin, Seungwon & Guofei Gu. (2010). Conficker and beyond. 151–160. 56 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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