Hsien‐Wen Tseng
- Computer Vision and Pattern Recognition top 2%
- Signal Processing
- Artificial Intelligence
- Media Technology
- Computational Theory and Mathematics
- Co-authors
- Chin‐Chen ChangHung-Hsu TsaiYen-Shou LaiYung‐Kuan ChanYixin HuJin‐Fa LeeChin‐Ling ChenYong‐Yuan Deng
- Topics
- Advanced Steganography and Watermarking Techniques (16 papers)Digital Media Forensic Detection (15 papers)Chaos-based Image/Signal Encryption (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- Taiwan
In The Last Decade
Hsien‐Wen Tseng
20 papers receiving 518 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 569
- Signal Processing 19
- Artificial Intelligence 17
- Media Technology 16
- Computational Theory and Mathematics 15
Countries citing papers authored by Hsien‐Wen Tseng
This map shows the geographic impact of Hsien‐Wen Tseng'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 Hsien‐Wen Tseng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsien‐Wen Tseng more than expected).
Fields of papers citing papers by Hsien‐Wen Tseng
This network shows the impact of papers produced by Hsien‐Wen Tseng. 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 Hsien‐Wen Tseng. The network helps show where Hsien‐Wen Tseng may publish in the future.
Co-authorship network of co-authors of Hsien‐Wen Tseng
This figure shows the co-authorship network connecting the top 25 collaborators of Hsien‐Wen Tseng. A scholar is included among the top collaborators of Hsien‐Wen Tseng 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 Hsien‐Wen Tseng. Hsien‐Wen Tseng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 10 | |
| 4 | 16 | |
| 5 | 7 | |
| 6 | 47 | |
| 7 | 1 | |
| 8 | 56 | |
| 9 | 19 | |
| 10 | 107 | |
| 11 | 30 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 0 | |
| 15 | A Very Low Bit Rate Image Compressor Using Transformed Classified Vector Quantization | 7 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 183 | |
| 19 | 51 | |
| 20 | 2 |
About Hsien‐Wen Tseng
Hsien‐Wen Tseng is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Industrial and Manufacturing Engineering, having authored 22 papers that have together received 589 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (16 papers), Digital Media Forensic Detection (15 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Computer Graphics and Computer-Aided Design (12 citations) and Media Technology (16 citations). Hsien‐Wen Tseng has collaborated with scholars based in Taiwan. Frequent co-authors include Chin‐Chen Chang, Hung-Hsu Tsai, Yen-Shou Lai, Yung‐Kuan Chan, Yixin Hu, Jin‐Fa Lee, Chin‐Ling Chen, Yong‐Yuan Deng and Yu‐Chen Hu. Their work appears in journals such as Information Sciences, Pattern Recognition Letters and IEEE Communications Letters.
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.