Tian‐Sheuan Chang
- Signal Processing top 0.5%
- Video Coding and Compression Technologies 69
- Digital Filter Design and Implementation 17
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- Advanced Vision and Imaging 56
- Advanced Data Compression Techniques 39
- Image and Video Quality Assessment 28
- Advanced Image Processing Techniques 25
- Advanced Neural Network Applications 11
- Media Technology top 2%
- Hardware and Architecture top 5%
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- Advanced Memory and Neural Computing 17
- Co-authors
- Chein-Wei JenChao‐Chung ChengYu-Kun LinDale E. SeborgRichard HartleyRajiv GuptaShuming LiuTsung-Hsien Tsai
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Automatic Control (2 papers)Scientific Reports (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tian‐Sheuan Chang
171 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 118
- Signal Processing 1.2k
- Computer Vision and Pattern Recognition 1.6k
- Media Technology 196
- Hardware and Architecture 94
- Electrical and Electronic Engineering 505
Countries citing papers authored by Tian‐Sheuan Chang
This map shows the geographic impact of Tian‐Sheuan Chang'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 Tian‐Sheuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tian‐Sheuan Chang more than expected).
Fields of papers citing papers by Tian‐Sheuan Chang
This network shows the impact of papers produced by Tian‐Sheuan Chang. 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 Tian‐Sheuan Chang. The network helps show where Tian‐Sheuan Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tian‐Sheuan Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 1 | |
| 9 | 2015 | 34 | |
| 10 | 2015 | 4 | |
| 11 | 2015 | 23 | |
| 12 | 2014 | 2 | |
| 13 | 2013 | 95 | |
| 14 | 2011 | 21 | |
| 15 | 2010 | 2 | |
| 16 | 2010 | 7 | |
| 17 | 2009 | 1 | |
| 18 | PID Controller Synthesis with Specifed Stability Requirement for Some Classes of MIMO Systems. | 2008 | 1 |
| 19 | 2007 | 9 | |
| 20 | 2003 | 0 |
About Tian‐Sheuan Chang
Tian‐Sheuan Chang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 183 papers that have together received 2.6k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (69 papers), Advanced Vision and Imaging (56 papers), Advanced Data Compression Techniques (39 papers), Image and Video Quality Assessment (28 papers), Advanced Image Processing Techniques (25 papers), Advanced Memory and Neural Computing (17 papers), Digital Filter Design and Implementation (17 papers) and Advanced Neural Network Applications (11 papers). The work is most often cited by research in Signal Processing (1.2k citations), Computer Vision and Pattern Recognition (1.6k citations) and Media Technology (196 citations). Tian‐Sheuan Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chein-Wei Jen, Chao‐Chung Cheng, Yu-Kun Lin, Dale E. Seborg, Richard Hartley, Rajiv Gupta, Shuming Liu, Tsung-Hsien Tsai, Dewei Li and Yu-Jen Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.
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.