Seungwon Shin
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 1%
- Information Systems top 1%
- Electrical and Electronic Engineering
- Co-authors
- Guofei GuVinod YegneswaranPhillip PorrasChanghoon YoonMartin FongMabry TysonSeungsoo LeeTaejune Park
- Topics
- Network Security and Intrusion Detection (55 papers)Software-Defined Networks and 5G (52 papers)Advanced Malware Detection Techniques (27 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Seungwon Shin
95 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 2.6k
- Artificial Intelligence 1.2k
- Signal Processing 646
- Information Systems 624
- Electrical and Electronic Engineering 304
Countries citing papers authored by Seungwon Shin
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | BASTION: A Security Enforcement Network Stack for Container Networks. | 13 |
| 11 | 2 | |
| 12 | Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach. | 3 |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 84 | |
| 16 | 7 | |
| 17 | 48 | |
| 18 | 2 | |
| 19 | 45 | |
| 20 | 56 |
About Seungwon Shin
Seungwon Shin is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 98 papers that have together received 2.9k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (55 papers), Software-Defined Networks and 5G (52 papers) and Advanced Malware Detection Techniques (27 papers). The work is most often cited by research in Computer Networks and Communications (2.6k citations), Signal Processing (646 citations) and Artificial Intelligence (1.2k citations). Seungwon Shin has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Guofei Gu, Vinod Yegneswaran, Phillip Porras, Changhoon Yoon, Martin Fong, Mabry Tyson, Seungsoo Lee, Taejune Park, Heedo Kang and Jialong Zhang. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and IEEE/ACM Transactions on Networking.
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.