Sangchul Won

3.0k citations
140 papers · 2.5k · 1 hit paper · h-index 26

Impact in

Papers in

Sangchul Won

131 papers receiving 2.4k citations

Sangchul Won's Hit Papers

A new fuzzy Lyapunov function approach for a Takagi–Sugeno fuzzy control system design 2006 · 374 citations
3740+6+13Years since publication100200300

Peers

Sangchul Won
Comparison fields: 5 of 91
  • Control and Systems Engineering 1.4k
  • Computer Networks and Communications 1.3k
  • Statistical and Nonlinear Physics 675
  • Computational Theory and Mathematics 331
  • Numerical Analysis 70
Replace Yanjun Shen with:
Yanjun Shen China
Boris Andrievsky Russia
Jianping Zhou China
Zhiguang Feng China
Jamal Daafouz France
Xiao‐Heng Chang China
Emmanuel Moulay France
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 →
2006374
2 2001123
3 1999101
4 201197
5 200889
6 200381
7 201075
8 200070
9 200869
10 199969
11 201064
12 200963
13 201362
14 201060
15 200350
16 200249
17 201042
18 201236
19 200636
20 200035

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 2.5k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (33 papers), Stability and Control of Uncertain Systems (33 papers), Chaos control and synchronization (23 papers), Iterative Learning Control Systems (23 papers), Adaptive Control of Nonlinear 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 (675 citations), Computational Theory and Mathematics (331 citations) and Numerical Analysis (70 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, Jae‐Hoon Park, Seongcheol Jeong, Oh‐Min Kwon, Yujin Jang, Seungjin Choi and Dongyeop Kang. 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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