J. K. Su
Impact in
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- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Advanced Data Compression Techniques
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- Video Coding and Compression Technologies
Papers in
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- Advanced Steganography and Watermarking Techniques 6
- Chaos-based Image/Signal Encryption 6
- Digital Media Forensic Detection 4
- Medical Image Segmentation Techniques 1
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- Distributed Control Multi-Agent Systems 1
- Co-authors
- Joachim J. Eggers (4 shared papers)Bernd Girod (6 shared papers)Slava Voloshynovskiy (1 shared paper)Shelby Pereira (1 shared paper)Thierry Pun (1 shared paper)Hua Wang (2 shared papers)Qi Li (1 shared paper)Chao Zheng (1 shared paper)
- Journals
- Defence Technology (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE Communications Magazine (1 paper)Journal of Sensors (1 paper)IET conference proceedings. (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
J. K. Su
11 papers receiving 298 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 304
- Signal Processing 39
- Computer Graphics and Computer-Aided Design 8
- Media Technology 20
- Information Systems 31
Countries citing papers authored by J. K. Su
This map shows the geographic impact of J. K. Su'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 J. K. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. K. Su more than expected).
Fields of papers citing papers by J. K. Su
This network shows the impact of papers produced by J. K. Su. 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 J. K. Su. The network helps show where J. K. Su may publish in the future.
Co-authors
The 9 scholars most cited alongside J. K. Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 218 | |
| 2 | 2002 | 36 | |
| 3 | 2002 | 36 | |
| 4 | 2003 | 19 | |
| 5 | 2021 | 18 | |
| 6 | 2002 | 12 | |
| 7 | 2002 | 3 | |
| 8 | POWER - SPECTRUM CONDITIONS FOR ENERGYEFFICIENT WATERMARKING | 2002 | 3 |
| 9 | 2021 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 1 |
About J. K. Su
J. K. Su is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 11 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (6 papers), Chaos-based Image/Signal Encryption (6 papers), Digital Media Forensic Detection (4 papers), Cellular Automata and Applications (1 paper), Wireless Communication Security Techniques (1 paper), Magnetic Bearings and Levitation Dynamics (1 paper), Medical Image Segmentation Techniques (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Signal Processing (39 citations), Computer Graphics and Computer-Aided Design (8 citations), Media Technology (20 citations) and Information Systems (31 citations). J. K. Su has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Joachim J. Eggers, Bernd Girod, Slava Voloshynovskiy, Shelby Pereira, Thierry Pun, Hua Wang, Qi Li, Chao Zheng and Shu Wang. Their work appears in journals such as Defence Technology, IEEE Transactions on Multimedia, IEEE Communications Magazine, Journal of Sensors and IET conference proceedings..
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.