Piyu Tsai
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 10%
- Media Technology top 10%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 10%
- Co-authors
- Yu‐Chen HuHsiu‐Lien YehChin‐Chen ChangChia‐Chen LinWei‐Kuan ShihWu‐Lin ChenChih‐Hung LinYu-Chiang Li
- Topics
- Advanced Steganography and Watermarking Techniques (15 papers)Chaos-based Image/Signal Encryption (14 papers)Digital Media Forensic Detection (11 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignSignal Processing
- Partner nations
- TaiwanUnited States
In The Last Decade
Piyu Tsai
18 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 33
- Computer Vision and Pattern Recognition 919
- Signal Processing 55
- Media Technology 37
- Artificial Intelligence 23
- Computer Graphics and Computer-Aided Design 21
Countries citing papers authored by Piyu Tsai
This map shows the geographic impact of Piyu 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 Piyu Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Piyu Tsai more than expected).
Fields of papers citing papers by Piyu Tsai
This network shows the impact of papers produced by Piyu 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 Piyu Tsai. The network helps show where Piyu Tsai may publish in the future.
Co-authorship network of co-authors of Piyu Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Piyu Tsai. A scholar is included among the top collaborators of Piyu 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 Piyu Tsai. Piyu 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 | 2 | |
| 2 | 18 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | Reversible image hiding scheme using predictive coding and histogram shiftingbreakdown → | 456 |
| 11 | 15 | |
| 12 | 7 | |
| 13 | 282 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 16 | |
| 17 | 46 | |
| 18 | 27 | |
| 19 | 12 |
About Piyu Tsai
Piyu Tsai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 19 papers that have together received 933 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (14 papers) and Digital Media Forensic Detection (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (919 citations), Computer Graphics and Computer-Aided Design (21 citations) and Signal Processing (55 citations). Piyu Tsai has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yu‐Chen Hu, Hsiu‐Lien Yeh, Chin‐Chen Chang, Chia‐Chen Lin, Wei‐Kuan Shih, Wu‐Lin Chen, Chih‐Hung Lin, Yu-Chiang Li and Yung‐Kuan Chan. Their work appears in journals such as Information Sciences, Pattern Recognition Letters and 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.