Chia-Yang Tsai
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Electrical and Electronic Engineering
- Ecology
- Biomedical Engineering
- Co-authors
- Ching-Yeh ChenShawmin LeiChih-Ming FuYu‐Wen HuangWoo-Jin HanElena AlshinaChih‐Wei HsuAlexander Alshin
- Topics
- Video Coding and Compression Technologies (11 papers)Advanced Vision and Imaging (8 papers)Advanced Data Compression Techniques (7 papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video TechnologyNanoscale Research LettersIEEE Journal of Selected Topics in Signal Processing
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chia-Yang Tsai
15 papers receiving 457 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 408
- Signal Processing 323
- Electrical and Electronic Engineering 36
- Ecology 26
- Biomedical Engineering 23
Countries citing papers authored by Chia-Yang Tsai
This map shows the geographic impact of Chia-Yang 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 Chia-Yang Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Yang Tsai more than expected).
Fields of papers citing papers by Chia-Yang Tsai
This network shows the impact of papers produced by Chia-Yang 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 Chia-Yang Tsai. The network helps show where Chia-Yang Tsai may publish in the future.
Co-authorship network of co-authors of Chia-Yang Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Yang Tsai. A scholar is included among the top collaborators of Chia-Yang 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 Chia-Yang Tsai. Chia-Yang 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 | 6 | |
| 2 | 40 | |
| 3 | 105 | |
| 4 | 261 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 5 |
About Chia-Yang Tsai
Chia-Yang Tsai is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 15 papers that have together received 488 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (11 papers), Advanced Vision and Imaging (8 papers) and Advanced Data Compression Techniques (7 papers). The work is most often cited by research in Signal Processing (323 citations), Computer Vision and Pattern Recognition (408 citations) and Developmental Biology (10 citations). Chia-Yang Tsai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ching-Yeh Chen, Shawmin Lei, Chih-Ming Fu, Yu‐Wen Huang, Woo-Jin Han, Elena Alshina, Chih‐Wei Hsu, Alexander Alshin, Jeong-Hoon Park and Takashi Watanabe. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Nanoscale Research Letters and IEEE Journal of Selected Topics in 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.