Chwei‐Shyong Tsai
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Min‐Shiang HwangYen‐Ping ChuHsien-Chu WuChung-Ming WangNan-I WuCheng‐Chi LeeIuon‐Chang LinChih-Chiang Lee
- Topics
- Advanced Steganography and Watermarking Techniques (30 papers)Chaos-based Image/Signal Encryption (26 papers)Digital Media Forensic Detection (22 papers)
In The Last Decade
Chwei‐Shyong Tsai
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 226
- Information Systems 223
- Computer Networks and Communications 174
- Signal Processing 117
Countries citing papers authored by Chwei‐Shyong Tsai
This map shows the geographic impact of Chwei‐Shyong Tsai'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 Chwei‐Shyong Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chwei‐Shyong Tsai more than expected).
Fields of papers citing papers by Chwei‐Shyong Tsai
This network shows the impact of papers produced by Chwei‐Shyong Tsai. 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 Chwei‐Shyong Tsai. The network helps show where Chwei‐Shyong Tsai may publish in the future.
Co-authorship network of co-authors of Chwei‐Shyong Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Chwei‐Shyong Tsai. A scholar is included among the top collaborators of Chwei‐Shyong Tsai 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 Chwei‐Shyong Tsai. Chwei‐Shyong Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | (Journal of Systems and Software, 81(1):150-158)A high quality steganographic method with pixel-value differencing and modulus function | 31 |
| 9 | 3 | |
| 10 | 105 | |
| 11 | 123 | |
| 12 | 146 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 70 | |
| 18 | An Improvement to Image Segment Based on Human Visual System for Object-based Coding | 6 |
| 19 | 4 | |
| 20 | A Technique for Computing Watermarks from Digital Images. | 10 |
About Chwei‐Shyong Tsai
Chwei‐Shyong Tsai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (30 papers), Chaos-based Image/Signal Encryption (26 papers) and Digital Media Forensic Detection (22 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (117 citations) and Computer Graphics and Computer-Aided Design (35 citations). Chwei‐Shyong Tsai has collaborated with scholars based in Taiwan, Japan and China. Frequent co-authors include Min‐Shiang Hwang, Yen‐Ping Chu, Hsien-Chu Wu, Chung-Ming Wang, Nan-I Wu, Cheng‐Chi Lee, Iuon‐Chang Lin, Chih-Chiang Lee, Tung-Shou Chen and Chin‐Chen Chang. Their work appears in journals such as Pattern Recognition, Applied Mathematics and Computation and Journal of Systems and Software.
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.