Chao-Yung Hsu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Information Systems
- Computational Mechanics
- Co-authors
- Chun-Shien LuSoo‐Chang PeiLi‐Wei KangChih‐Yang LinHung‐Wei ChenTimothy K. ShihYing LiuMing-Fang Weng
- Topics
- Advanced Image and Video Retrieval Techniques (12 papers)Industrial Vision Systems and Defect Detection (7 papers)Chaos-based Image/Signal Encryption (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringArtificial Intelligence
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Circuits and Systems for Video TechnologyThe International Journal of Advanced Manufacturing Technology
- Partner nations
- TaiwanIndonesiaUnited States
In The Last Decade
Chao-Yung Hsu
26 papers receiving 494 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 418
- Artificial Intelligence 145
- Industrial and Manufacturing Engineering 64
- Information Systems 44
- Computational Mechanics 37
Countries citing papers authored by Chao-Yung Hsu
This map shows the geographic impact of Chao-Yung Hsu'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 Chao-Yung Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Yung Hsu more than expected).
Fields of papers citing papers by Chao-Yung Hsu
This network shows the impact of papers produced by Chao-Yung Hsu. 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 Chao-Yung Hsu. The network helps show where Chao-Yung Hsu may publish in the future.
Co-authorship network of co-authors of Chao-Yung Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chao-Yung Hsu. A scholar is included among the top collaborators of Chao-Yung Hsu 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 Chao-Yung Hsu. Chao-Yung Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 168 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 46 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 32 | |
| 19 | 32 | |
| 20 | 21 |
About Chao-Yung Hsu
Chao-Yung Hsu is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Industrial Vision Systems and Defect Detection (7 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (418 citations), Industrial and Manufacturing Engineering (64 citations) and Artificial Intelligence (145 citations). Chao-Yung Hsu has collaborated with scholars based in Taiwan, Indonesia and United States. Frequent co-authors include Chun-Shien Lu, Soo‐Chang Pei, Li‐Wei Kang, Chih‐Yang Lin, Hung‐Wei Chen, Timothy K. Shih, Ying Liu, Ming-Fang Weng, Hong-Yuan Mark Liao and Chao-Chung Peng. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and The International Journal of Advanced Manufacturing Technology.
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.