Kwon Soon Lee

476 total citations
34 papers, 383 citations indexed

About

Kwon Soon Lee is a scholar working on Control and Systems Engineering, Automotive Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Kwon Soon Lee has authored 34 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Control and Systems Engineering, 8 papers in Automotive Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in Kwon Soon Lee's work include Adaptive Control of Nonlinear Systems (7 papers), Robotic Path Planning Algorithms (6 papers) and Vehicle Dynamics and Control Systems (5 papers). Kwon Soon Lee is often cited by papers focused on Adaptive Control of Nonlinear Systems (7 papers), Robotic Path Planning Algorithms (6 papers) and Vehicle Dynamics and Control Systems (5 papers). Kwon Soon Lee collaborates with scholars based in South Korea and United States. Kwon Soon Lee's co-authors include M. Sami Fadali, Seong-Ik Han, Young‐Jin Lee, Young Bok Kim, Hideki Kawai, Jin Woo Lee, M. Saiid Saiidi, Jin‐Woo Lee, Dong Seop Han and Min Gyu Park and has published in prestigious journals such as IEEE Transactions on Control Systems Technology, Mechatronics and Journal of Mechanical Science and Technology.

In The Last Decade

Kwon Soon Lee

32 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kwon Soon Lee South Korea 10 246 94 60 59 42 34 383
Tongxin Shu Canada 6 193 0.8× 103 1.1× 20 0.3× 55 0.9× 31 0.7× 9 387
Biliang Lu China 11 368 1.5× 194 2.1× 41 0.7× 103 1.7× 30 0.7× 18 473
Mélanie Ducoffe France 4 203 0.8× 68 0.7× 21 0.3× 39 0.7× 35 0.8× 7 388
Ali Alizadeh Iran 11 142 0.6× 54 0.6× 49 0.8× 37 0.6× 12 0.3× 24 353
Yanfeng Li China 11 270 1.1× 152 1.6× 23 0.4× 64 1.1× 28 0.7× 33 379
Xinxin Yan China 11 83 0.3× 92 1.0× 40 0.7× 41 0.7× 24 0.6× 19 374
Jiande Wu China 13 419 1.7× 306 3.3× 39 0.7× 136 2.3× 25 0.6× 90 604
Sen Zhang China 9 196 0.8× 86 0.9× 16 0.3× 59 1.0× 11 0.3× 10 316
Mohamed Boumehraz Algeria 11 276 1.1× 133 1.4× 23 0.4× 104 1.8× 19 0.5× 38 475

Countries citing papers authored by Kwon Soon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kwon Soon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwon Soon Lee. 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 Kwon Soon Lee. The network helps show where Kwon Soon Lee may publish in the future.

Co-authorship network of co-authors of Kwon Soon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kwon Soon Lee. A scholar is included among the top collaborators of Kwon Soon Lee 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 Kwon Soon Lee. Kwon Soon Lee 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.
Lee, Kwon Soon, et al.. (2018). Influence of Nurses' Followership Types and Ego-Resilience on Job Embeddedness. Journal of Korean Clinical Nursing Research. 24(2). 127–136. 4 indexed citations
2.
Kim, Young‐Min, et al.. (2012). KTX's interior noise reduction performance comparison for each section using multichannel active noise control. International Conference on Control, Automation and Systems. 1265–1270. 2 indexed citations
3.
Lee, Kwon Soon, et al.. (2012). ANC system performance analysis using a multiple-LMS-based neural network for high-speed train's noise. 5. 361–365. 2 indexed citations
4.
Han, Seong-Ik & Kwon Soon Lee. (2010). Robust friction state observer and recurrent fuzzy neural network design for dynamic friction compensation with backstepping control. Mechatronics. 20(3). 384–401. 36 indexed citations
5.
Fadali, M. Sami, et al.. (2009). Fault Detection and Isolation of Induction Motors Using Recurrent Neural Networks and Dynamic Bayesian Modeling. IEEE Transactions on Control Systems Technology. 18(2). 430–437. 86 indexed citations
6.
Lee, Young‐Jin, et al.. (2009). Technical trends and analysis of development of dual mode trailer systems for enhancing railroad logistics. 57 p. 2077–2081. 3 indexed citations
7.
Fadali, M. Sami, et al.. (2008). Online Probability Density Estimation of Nonstationary Random Signal using Dynamic Bayesian Networks. International Journal of Control Automation and Systems. 6(1). 109–118. 7 indexed citations
8.
Lee, Kwon Soon, et al.. (2008). Nonlinear Networked Control Systems with Random Nature using Neural Approach and Dynamic Bayesian Networks. International Journal of Control Automation and Systems. 6(3). 444–452. 8 indexed citations
9.
Lee, Kwon Soon, et al.. (2008). Adaptive control and stability analysis of nonlinear crane systems with perturbation. Journal of Mechanical Science and Technology. 22(6). 1091–1098. 34 indexed citations
10.
Fadali, M. Sami, et al.. (2007). Lyapunov-based Fuzzy Queue Scheduling for Internet Routers. International Journal of Control Automation and Systems. 5(3). 317–323. 13 indexed citations
11.
Han, Dong Seop, et al.. (2007). An experimental analysis of the effect of wind load on the stability of a container crane. Journal of Mechanical Science and Technology. 21(3). 448–454. 15 indexed citations
12.
Fadali, M. Sami, et al.. (2006). Neural robust control for perturbed crane systems. Journal of Mechanical Science and Technology. 20(5). 591–601. 3 indexed citations
13.
Fadali, M. Sami, et al.. (2005). Neural Network Active Control of Structures with Earthquake Excitation. International Journal of Control Automation and Systems. 3(2). 202–210. 20 indexed citations
14.
Park, Sung Chul, et al.. (2005). A Development of 3D Simulator Program for Performance Valuation of Port Transportation Systems. 29(1). 393–396. 2 indexed citations
15.
Lee, Young‐Jin, et al.. (2005). Adaptive PID control of an AGV system using humoral immune algorithm and neural network identifier technique. 2. 1576–1581. 2 indexed citations
16.
Lee, Young‐Jin, et al.. (2005). Object-transportation control of cooperative agv systems based on virtual-passivity decentralized control algorithm. Journal of Mechanical Science and Technology. 19(9). 1720–1730. 8 indexed citations
17.
Lee, Jin‐Woo, et al.. (2005). Anti-sway control of an ATC using NN predictive PID control. 3. 2998–3003. 6 indexed citations
18.
Lee, Jin Woo, et al.. (2003). A study on development of ATCS for automated transfer crane using neural network predictive PID controller. Society of Instrument and Control Engineers of Japan. 3. 3271–3276. 5 indexed citations
19.
Lee, Jin Woo, et al.. (2003). A Study on Design of Anti-Sway Controller for ATC using Two Degree of Freedom PID Control. 제어로봇시스템학회 국제학술대회 논문집. 1327–1332. 1 indexed citations
20.
Lee, Jin Woo, et al.. (2002). A study on recognition of lane and movement of vehicles for port AGV vision system. 463–466 vol.2. 5 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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