Minho Sung
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Signal Processing top 5%
- Information Systems top 10%
- Co-authors
- Jun XuAbhishek KumarJiajie WangJun LiLi LiEllen ZeguraIrfan EssaRichard Lipton
- Topics
- Internet Traffic Analysis and Secure E-voting (10 papers)Network Security and Intrusion Detection (7 papers)Network Packet Processing and Optimization (5 papers)
- Journals
- IEEE/ACM Transactions on NetworkingIEEE Transactions on Parallel and Distributed SystemsACM SIGMETRICS Performance Evaluation Review
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Minho Sung
13 papers receiving 597 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 600
- Artificial Intelligence 447
- Hardware and Architecture 185
- Signal Processing 128
- Information Systems 52
Countries citing papers authored by Minho Sung
This map shows the geographic impact of Minho Sung'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 Minho Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minho Sung more than expected).
Fields of papers citing papers by Minho Sung
This network shows the impact of papers produced by Minho Sung. 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 Minho Sung. The network helps show where Minho Sung may publish in the future.
Co-authorship network of co-authors of Minho Sung
This figure shows the co-authorship network connecting the top 25 collaborators of Minho Sung. A scholar is included among the top collaborators of Minho Sung 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 Minho Sung. Minho Sung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 42 | |
| 4 | Scalable Hash-based IP Traceback Using Rate-limited Probabilistic Packet Marking | 1 |
| 5 | 5 | |
| 6 | 38 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 194 | |
| 10 | 78 | |
| 11 | 110 | |
| 12 | 33 | |
| 13 | 117 | |
| 14 | Mandatory Human Participation: A New Scheme for Building Secure Systems | 2 |
About Minho Sung
Minho Sung is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 14 papers that have together received 642 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (10 papers), Network Security and Intrusion Detection (7 papers) and Network Packet Processing and Optimization (5 papers). The work is most often cited by research in Hardware and Architecture (185 citations), Computer Networks and Communications (600 citations) and Artificial Intelligence (447 citations). Minho Sung has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jun Xu, Abhishek Kumar, Jiajie Wang, Jun Xu, Jun Li, Li Li, Ellen Zegura, Irfan Essa, Richard Lipton and Heewon Lee. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems and ACM SIGMETRICS Performance Evaluation Review.
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.