Sangchul Won

3.0k citations
140 papers · 2.4k · 1 hit paper · h-index 26

Impact in

Papers in

Sangchul Won

130 papers receiving 2.3k citations

Hit Papers

A new fuzzy Lyapunov function approach for a Takagi–Sugeno fuzzy control system design 2006 · 368 citations
3680+6+13Years since publication100200300

Peers

Sangchul Won
Comparison fields: 5 of 89
  • Control and Systems Engineering 1.4k
  • Computer Networks and Communications 1.3k
  • Statistical and Nonlinear Physics 667
  • Computational Theory and Mathematics 325
  • Numerical Analysis 67
Replace Yanjun Shen with:
Yanjun Shen China
Jianping Zhou China
Boris Andrievsky Russia
Jamal Daafouz France
Xiao‐Heng Chang China
Zhiguang Feng China
Zhan Shu China
Alexander Lanzon United Kingdom
Changhong Wang China
Shun‐Hung Tsai Taiwan
Sangchul Won relative to Yanjun Shen China Yanjun Shen's profile →
Citations per field
00.5×1.5×2.4×
Yanjun Shen · 1×
Citations per year

Countries citing papers authored by Sangchul Won

Since Specialization
Citations

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

Fields of papers citing papers by Sangchul Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangchul Won. 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 Sangchul Won. The network helps show where Sangchul Won may publish in the future.

Co-authors

The 25 scholars most cited alongside Sangchul Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sangchul Won Line = papers co-authored together Sangchul Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A new fuzzy Lyapunov function approach for a Takagi–Sugeno fuzzy control system design
Hit paper breakdown →
2006368
2 2001120
3 199997
4 201196
5 200886
6 200380
7 201075
8 199967
9 200867
10 201064
11 200064
12 200963
13 201359
14 201058
15 200349
16 200247
17 201042
18 201235
19 200034
20 200334

About Sangchul Won

Sangchul Won is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Mechanical Engineering and Artificial Intelligence, having authored 140 papers that have together received 2.4k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (33 papers), Neural Networks Stability and Synchronization (33 papers), Chaos control and synchronization (23 papers), Adaptive Control of Nonlinear Systems (22 papers), Iterative Learning Control Systems (22 papers), Nonlinear Dynamics and Pattern Formation (21 papers), Advanced Control Systems Optimization (17 papers) and Metallurgy and Material Forming (14 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Computer Networks and Communications (1.3k citations), Statistical and Nonlinear Physics (667 citations), Computational Theory and Mathematics (325 citations) and Numerical Analysis (67 citations). Sangchul Won has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Ju H. Park, D.H. Ji, Sangmoon Lee, Dong Yue, Seongcheol Jeong, Jae‐Hoon Park, Oh‐Min Kwon, Yujin Jang, Yue Dong and Seungjin Choi. Their work appears in journals such as Applied Mathematics and Computation, Physics Letters A, ISIJ International, Nonlinear Dynamics and Journal of Optimization Theory and Applications.

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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