Tian‐Sheuan Chang

3.9k citations
183 papers · 2.6k indexed · h-index 29
Topics
Video Coding and Compression Technologies (69 papers)Advanced Vision and Imaging (56 papers)Advanced Data Compression Techniques (39 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlScientific Reports
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Tian‐Sheuan Chang

171 papers receiving 2.4k citations

Peers

Tian‐Sheuan Chang
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 1.6k
  • Signal Processing 1.2k
  • Electrical and Electronic Engineering 505
  • Artificial Intelligence 219
  • Media Technology 196
Replace Shao‐Yi Chien with:
Shao‐Yi Chien Taiwan
Yan Lu China
Ivan V. Bajić Canada
Zhifeng Li China
Lap‐Pui Chau Singapore
Liang Zhang China
Qingbo Wu China
Jian Su China
Zhijun Fang China
Lai-Man Po Hong Kong
Tian‐Sheuan Chang relative to Shao‐Yi Chien Taiwan Shao‐Yi Chien's profile →
Citations per field
00.5×1.5×
Shao‐Yi Chien · 1×
Citations per year

Countries citing papers authored by Tian‐Sheuan Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tian‐Sheuan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tian‐Sheuan Chang. A scholar is included among the top collaborators of Tian‐Sheuan Chang 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 Tian‐Sheuan Chang. Tian‐Sheuan Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 5
3 1
4 1
5 8
6 1
7 0
8 1
9 34
10 4
11 23
12 2
13 95
14 21
15 2
16 7
17 1
18
PID Controller Synthesis with Specifed Stability Requirement for Some Classes of MIMO Systems.
1
19 9
20 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) and Advanced Data Compression Techniques (39 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.

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