Myong Kang
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Sociology and Political Science top 10%
- Signal Processing top 10%
- Co-authors
- Ira S. MoskowitzJim LuoJudith N. FroscherJoonsoo ParkDijiang HuangXinwen ZhangAnya KimGail‐Joon Ahn
- Topics
- Cryptography and Data Security (10 papers)Network Security and Intrusion Detection (9 papers)Security and Verification in Computing (9 papers)
- Journals
- Journal of Cellular BiochemistryIEEE Transactions on Information Forensics and SecurityAnnals of Operations Research
- Partner nations
- United StatesSouth KoreaSaudi Arabia
In The Last Decade
Myong Kang
38 papers receiving 626 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 375
- Computer Networks and Communications 330
- Information Systems 323
- Sociology and Political Science 158
- Signal Processing 99
Countries citing papers authored by Myong Kang
This map shows the geographic impact of Myong Kang'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 Myong Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myong Kang more than expected).
Fields of papers citing papers by Myong Kang
This network shows the impact of papers produced by Myong Kang. 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 Myong Kang. The network helps show where Myong Kang may publish in the future.
Co-authorship network of co-authors of Myong Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Myong Kang. A scholar is included among the top collaborators of Myong Kang 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 Myong Kang. Myong Kang 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 | 1 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | 116 | |
| 18 | 61 | |
| 19 | 23 | |
| 20 | 16 |
About Myong Kang
Myong Kang is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 40 papers that have together received 697 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Network Security and Intrusion Detection (9 papers) and Security and Verification in Computing (9 papers). The work is most often cited by research in Computer Networks and Communications (330 citations), Information Systems (323 citations) and Artificial Intelligence (375 citations). Myong Kang has collaborated with scholars based in United States, South Korea and Saudi Arabia. Frequent co-authors include Ira S. Moskowitz, Jim Luo, Judith N. Froscher, Joonsoo Park, Dijiang Huang, Xinwen Zhang, Anya Kim, Gail‐Joon Ahn, Ravi Sandhu and Joon Park. Their work appears in journals such as Journal of Cellular Biochemistry, IEEE Transactions on Information Forensics and Security and Annals of Operations Research.
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.