Tsu-Shuan Chang

584 total citations
47 papers, 427 citations indexed

About

Tsu-Shuan Chang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Control and Systems Engineering. According to data from OpenAlex, Tsu-Shuan Chang has authored 47 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 12 papers in Numerical Analysis and 12 papers in Control and Systems Engineering. Recurrent topics in Tsu-Shuan Chang's work include Optimization and Variational Analysis (12 papers), Advanced Optimization Algorithms Research (10 papers) and Advanced Control Systems Optimization (9 papers). Tsu-Shuan Chang is often cited by papers focused on Optimization and Variational Analysis (12 papers), Advanced Optimization Algorithms Research (10 papers) and Advanced Control Systems Optimization (9 papers). Tsu-Shuan Chang collaborates with scholars based in United States and Taiwan. Tsu-Shuan Chang's co-authors include Peter B. Luh, Yu‐Chi Ho, Derong Liu, Yi Zhang, Shi‐Chung Chang, Jian Yang, S. L. Hakimi, Cheng‐Wu Chen, Xiaojun Wang and Jianxin Tang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

In The Last Decade

Tsu-Shuan Chang

43 papers receiving 398 citations

Peers

Tsu-Shuan Chang
Comparison fields: 5 of 59
  • Control and Systems Engineering 97
  • Computational Theory and Mathematics 95
  • Industrial and Manufacturing Engineering 88
  • Electrical and Electronic Engineering 85
  • Artificial Intelligence 66
Replace Jiguan Gene Lin with:
Jiguan Gene Lin United States
Adele A. Barrett Ireland
Milan Vlach Czechia
István Maros United Kingdom
Nilotpal Chakravarti India
David A. Wismer United States
Rafail N. Gasimov Türkiye
Lou Caccetta Australia
Jack Elzinga United States
Rosanna Manzo Italy
Jiguan Gene Lin United States View profile →
Citations per field, relative to Tsu-Shuan Chang
Tsu-Shuan Chang · 1×
Citations per year, relative to Tsu-Shuan Chang
Tsu-Shuan Chang · 1×

Countries citing papers authored by Tsu-Shuan Chang

Since Specialization
Citations

This map shows the geographic impact of Tsu-Shuan 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 Tsu-Shuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsu-Shuan Chang more than expected).

Fields of papers citing papers by Tsu-Shuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsu-Shuan 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 Tsu-Shuan Chang. The network helps show where Tsu-Shuan Chang may publish in the future.

Co-authorship network of co-authors of Tsu-Shuan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tsu-Shuan Chang. A scholar is included among the top collaborators of Tsu-Shuan 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 Tsu-Shuan Chang. Tsu-Shuan 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
# Work Indexed citations
1 3
2 0
3 0
4 32
5 11
6 8
7 5
8 3
9 1
10 3
11 4
12 8
13 1
14 1
15 2
16 10
17 16
18 17
19 19
20 20

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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