Sangchul Won

3.0k total citations · 1 hit paper
140 papers, 2.4k citations indexed

About

Sangchul Won is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Sangchul Won has authored 140 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Control and Systems Engineering, 39 papers in Computer Networks and Communications and 27 papers in Statistical and Nonlinear Physics. Recurrent topics in Sangchul Won's work include Neural Networks Stability and Synchronization (33 papers), Stability and Control of Uncertain Systems (33 papers) and Chaos control and synchronization (23 papers). Sangchul Won is often cited by papers focused on Neural Networks Stability and Synchronization (33 papers), Stability and Control of Uncertain Systems (33 papers) and Chaos control and synchronization (23 papers). Sangchul Won collaborates with scholars based in South Korea, China and United States. Sangchul Won's 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 and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Sangchul Won

130 papers receiving 2.3k citations

Hit Papers

A new fuzzy Lyapunov function approach for a Takagi–Sugen... 2006 2026 2012 2019 2006 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sangchul Won South Korea 26 1.4k 1.3k 667 325 265 140 2.4k
Jianping Zhou China 25 1.3k 0.9× 1.2k 0.9× 307 0.5× 152 0.5× 295 1.1× 153 2.3k
Zhiguang Feng China 35 3.1k 2.2× 2.3k 1.8× 404 0.6× 548 1.7× 446 1.7× 165 4.0k
Tao Li China 28 1.3k 1.0× 1.4k 1.1× 394 0.6× 265 0.8× 495 1.9× 157 2.4k
Changhong Wang China 27 3.0k 2.1× 1.2k 1.0× 355 0.5× 408 1.3× 315 1.2× 86 3.5k
Yanjun Shen China 32 1.8k 1.3× 957 0.7× 275 0.4× 252 0.8× 400 1.5× 134 3.1k
Jamal Daafouz France 36 4.7k 3.4× 1.6k 1.2× 454 0.7× 749 2.3× 213 0.8× 163 5.5k
Changhong Wang China 23 1.1k 0.8× 839 0.7× 266 0.4× 190 0.6× 233 0.9× 134 1.9k
Ömer Morgül Türkiye 25 1.4k 1.0× 639 0.5× 724 1.1× 573 1.8× 95 0.4× 92 2.3k
Tiedong Ma China 27 784 0.6× 1.7k 1.3× 892 1.3× 242 0.7× 329 1.2× 75 2.4k
Erik I. Verriest United States 22 1.7k 1.2× 638 0.5× 418 0.6× 450 1.4× 141 0.5× 213 2.3k

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-authorship network of co-authors of Sangchul Won

This figure shows the co-authorship network connecting the top 25 collaborators of Sangchul Won. A scholar is included among the top collaborators of Sangchul Won 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 Sangchul Won. Sangchul Won 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
1.
Kwon, Wookyong, et al.. (2017). Multicriteria Adaptive Observers for Singular Systems with Unknown Time‐Varying Parameters. Mathematical Problems in Engineering. 2017(1).
2.
Won, Sangchul, et al.. (2013). PID based sliding mode controller design for the micro quadrotor. 1860–1865. 15 indexed citations
3.
Yoo, Youngjun, et al.. (2012). Super-twisting algorithm-based sliding mode controller for a refrigeration system. International Conference on Control, Automation and Systems. 34–38. 8 indexed citations
4.
Jeong, Seongcheol & Sangchul Won. (2011). Adaptive backstepping synchronization for a class of uncertain complex dynamical networks. Asian Control Conference. 1265–1269. 1 indexed citations
5.
Yoo, Youngjun, et al.. (2010). Output feedback controller design of networked control systems with nonlinearity: An LMI approach. Society of Instrument and Control Engineers of Japan. 663–667. 1 indexed citations
6.
Won, Sangchul, et al.. (2010). Asymptotic stability of neutral functional differential equation model of genetic regulatory networks with time-varying delays. Society of Instrument and Control Engineers of Japan. 63–68. 4 indexed citations
7.
Lee, Dong-Wook, et al.. (2010). Precise tracking control of piezo actuator using sliding mode control with feedforward compensation. Society of Instrument and Control Engineers of Japan. 1244–1249. 5 indexed citations
8.
Jeong, Daun, et al.. (2009). Robust fuzzy output feedback control for chaotic systems with time delay. 2009 ICCAS-SICE. 2856–2861. 2 indexed citations
9.
Park, Hyunseok, et al.. (2009). Non-interactive control for hot rolling mill using nonlinear disturbance observer. 2009 ICCAS-SICE. 3685–3689. 1 indexed citations
10.
Ji, D.H., et al.. (2009). Robust model predictive control for uncertain singular systems with state delay. 2009 ICCAS-SICE. 256–261. 3 indexed citations
11.
Won, Sangchul, et al.. (2009). Observer-based trajectory tracking control for a wheeled mobile robot. Asian Control Conference. 1644–1649. 5 indexed citations
12.
Kim, Euiyoung, Dongyeop Kang, & Sangchul Won. (2009). Robust tracking control of T-S fuzzy systems based on fuzzy Lyapunov approach. 2009 ICCAS-SICE. 2850–2855. 2 indexed citations
13.
Kim, Jong‐Cheol, Yasuo Suga, & Sangchul Won. (2006). New Approaches to Fuzzy Inference System Using Kernel Machines. 2006. 1934–1939. 1 indexed citations
14.
Won, Sangchul, et al.. (2005). Real-time Trajectory Adaptation for a Biped Robot with Varying Load. 제어로봇시스템학회 국제학술대회 논문집. 1934–1937. 1 indexed citations
15.
Lee, Sangmoon, Dong-Hoon Lee, & Sangchul Won. (2003). Static output feedback model predictive tracking control for Wiener models. Society of Instrument and Control Engineers of Japan. 3. 2676–2680. 1 indexed citations
16.
Won, Sangchul, et al.. (2003). Delayed Feedback Guaranteed Cost Controller Design for Uncertain Time-Delay Systems. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(9). 2413–2418. 3 indexed citations
17.
Kim, Jong‐Cheol, Sangchul Won, & Yasuo Suga. (2003). New Fuzzy Inference System Using a Kernel-based Method. 제어로봇시스템학회 국제학술대회 논문집. 2393–2398. 3 indexed citations
18.
Won, Sangchul, et al.. (2002). The Stabilization of an Affine TS Fuzzy System by using an ILMI method. 제어로봇시스템학회 국제학술대회 논문집. 101–104. 2 indexed citations
19.
Won, Sangchul, et al.. (1999). Robust Controller Design for a T-S Fuzzy Modeled System with Modeling Error. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 82(12). 2829–2832. 1 indexed citations
20.
Won, Sangchul, et al.. (1996). Decentralized Control of Uncertain Large-scale Discrete-time Systems with Delays in Interconnections. 1(4). 46–51. 4 indexed citations

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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