Ki‐Ryong Kwon
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Imaging for Blood Diseases
- Digital Media Forensic Detection
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Steganography and Watermarking Techniques 60
- Chaos-based Image/Signal Encryption 26
- Advanced Image and Video Retrieval Techniques 17
- Digital Media Forensic Detection 15
- Video Analysis and Summarization 11
- Co-authors
- Suk‐Hwan Lee (150 shared papers)Kwang-Seok Moon (28 shared papers)Eung-Joo Lee (11 shared papers)Oh‐Heum Kwon (12 shared papers)Kyung-Won Kang (4 shared papers)Jong‐Keuk Lee (3 shared papers)Thanh Tran (1 shared paper)Heejung Kim (2 shared papers)
- Journals
- Applied Sciences (8 papers)Electronics (7 papers)Sensors (6 papers)IEEE Access (5 papers)Digital Signal Processing (5 papers)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Ki‐Ryong Kwon
146 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Computer Vision and Pattern Recognition 870
- Computer Graphics and Computer-Aided Design 123
- Artificial Intelligence 365
- Biophysics 60
- Signal Processing 90
Countries citing papers authored by Ki‐Ryong Kwon
This map shows the geographic impact of Ki‐Ryong 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 Ki‐Ryong Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki‐Ryong Kwon more than expected).
Fields of papers citing papers by Ki‐Ryong Kwon
This network shows the impact of papers produced by Ki‐Ryong 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 Ki‐Ryong Kwon. The network helps show where Ki‐Ryong Kwon may publish in the future.
Co-authors
The 25 scholars most cited alongside Ki‐Ryong Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 89 | |
| 2 | 2022 | 84 | |
| 3 | 2018 | 69 | |
| 4 | 2017 | 61 | |
| 5 | 2011 | 43 | |
| 6 | 2015 | 43 | |
| 7 | 2005 | 39 | |
| 8 | 2005 | 31 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 22 | |
| 11 | 2019 | 21 | |
| 12 | 2010 | 21 | |
| 13 | 2013 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2004 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2012 | 18 | |
| 18 | 2007 | 17 | |
| 19 | 2022 | 17 | |
| 20 | 2022 | 17 |
About Ki‐Ryong Kwon
Ki‐Ryong Kwon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Graphics and Computer-Aided Design and Information Systems, having authored 170 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (60 papers), Chaos-based Image/Signal Encryption (26 papers), Computer Graphics and Visualization Techniques (18 papers), Advanced Image and Video Retrieval Techniques (17 papers), Digital Media Forensic Detection (15 papers), 3D Shape Modeling and Analysis (12 papers), Video Analysis and Summarization (11 papers) and Data Management and Algorithms (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (870 citations), Computer Graphics and Computer-Aided Design (123 citations), Artificial Intelligence (365 citations), Biophysics (60 citations) and Signal Processing (90 citations). Ki‐Ryong Kwon has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Suk‐Hwan Lee, Kwang-Seok Moon, Eung-Joo Lee, Oh‐Heum Kwon, Kyung-Won Kang, Jong‐Keuk Lee, Thanh Tran, Heejung Kim, Sanghun Lim and Jin‐Hyeok Park. Their work appears in journals such as Applied Sciences, Electronics, Sensors, IEEE Access and Digital Signal Processing.
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.