Daesung Kwon
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Atomic and Molecular Physics, and Optics
- Control and Systems Engineering
- Topics
- Cryptographic Implementations and Security (8 papers)Chaos-based Image/Signal Encryption (7 papers)Coding theory and cryptography (6 papers)
- Partner nations
- South Korea
In The Last Decade
Daesung Kwon
21 papers receiving 293 citations
Peers
Comparison fields: 5 of 32
- Artificial Intelligence 217
- Computer Networks and Communications 76
- Computer Vision and Pattern Recognition 72
- Atomic and Molecular Physics, and Optics 69
- Control and Systems Engineering 50
Countries citing papers authored by Daesung Kwon
This map shows the geographic impact of Daesung Kwon'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 Daesung Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daesung Kwon more than expected).
Fields of papers citing papers by Daesung Kwon
This network shows the impact of papers produced by Daesung Kwon. 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 Daesung Kwon. The network helps show where Daesung Kwon may publish in the future.
Co-authorship network of co-authors of Daesung Kwon
This figure shows the co-authorship network connecting the top 25 collaborators of Daesung Kwon. A scholar is included among the top collaborators of Daesung Kwon 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 Daesung Kwon. Daesung Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 11 | |
| 3 | 1 | |
| 4 | 59 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 47 | |
| 10 | Information security and cryptology - ICISC 2012 : 15th International Conference, Seoul, Korea, November 28-30, 2012 : revised selected papers | 9 |
| 11 | 77 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | Proceedings of the 15th international conference on Information Security and Cryptology | 4 |
| 15 | 11 | |
| 16 | 1 | |
| 17 | 34 | |
| 18 | Improved cryptanalysis of lightweight RFID mutual authentication Protocols LMAP, $M^2AP$, EMAP | 1 |
| 19 | Chosen-Ciphertext Attacks on Optimized NTRU | 1 |
| 20 | 24 |
About Daesung Kwon
Daesung Kwon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 21 papers that have together received 312 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Artificial Intelligence (217 citations) and Media Technology (35 citations). Daesung Kwon has collaborated with scholars based in South Korea. Frequent co-authors include Minkyu Kim, Je Hong Park, Jino Heo, Yong‐Geun Oh, Donggeon Lee, Howon Kim, Jooyoung Lee, Min-Sung Kang, Taekyoung Kwon and Mun‐Kyu Lee. Their work appears in journals such as Optics Express, Sensors and IEEE Transactions on Smart Grid.
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.