Shiuh-Jeng Wang
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Cheng-Hsing YangChi-Yao WengHung–Min SunCheng-Ta HuangWei-Jen WangGwoboa HorngYa-Ting ChangChin‐Feng Lee
- Topics
- Chaos-based Image/Signal Encryption (38 papers)Advanced Steganography and Watermarking Techniques (38 papers)Digital Media Forensic Detection (31 papers)
In The Last Decade
Shiuh-Jeng Wang
88 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 959
- Information Systems 193
- Signal Processing 150
- Artificial Intelligence 148
- Computer Networks and Communications 111
Countries citing papers authored by Shiuh-Jeng Wang
This map shows the geographic impact of Shiuh-Jeng Wang'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 Shiuh-Jeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiuh-Jeng Wang more than expected).
Fields of papers citing papers by Shiuh-Jeng Wang
This network shows the impact of papers produced by Shiuh-Jeng Wang. 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 Shiuh-Jeng Wang. The network helps show where Shiuh-Jeng Wang may publish in the future.
Co-authorship network of co-authors of Shiuh-Jeng Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shiuh-Jeng Wang. A scholar is included among the top collaborators of Shiuh-Jeng Wang 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 Shiuh-Jeng Wang. Shiuh-Jeng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | A Hierarchical and Dynamic Group-Oriented Cryptographic Scheme (Special Section on Cryptography and Information Security) | 1 |
| 20 | 0 |
About Shiuh-Jeng Wang
Shiuh-Jeng Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (38 papers), Advanced Steganography and Watermarking Techniques (38 papers) and Digital Media Forensic Detection (31 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (959 citations), Signal Processing (150 citations) and Information Systems (193 citations). Shiuh-Jeng Wang has collaborated with scholars based in Taiwan, India and Australia. Frequent co-authors include Cheng-Hsing Yang, Chi-Yao Weng, Hung–Min Sun, Cheng-Ta Huang, Wei-Jen Wang, Gwoboa Horng, Ya-Ting Chang, Chin‐Feng Lee, Hao-Kuan Tso and Fu‐Hau Hsu. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Computers.
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.