Seong-Ik Han

1.8k total citations
75 papers, 1.5k citations indexed

About

Seong-Ik Han is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Seong-Ik Han has authored 75 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Control and Systems Engineering, 29 papers in Mechanical Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Seong-Ik Han's work include Adaptive Control of Nonlinear Systems (49 papers), Iterative Learning Control Systems (27 papers) and Control and Dynamics of Mobile Robots (16 papers). Seong-Ik Han is often cited by papers focused on Adaptive Control of Nonlinear Systems (49 papers), Iterative Learning Control Systems (27 papers) and Control and Dynamics of Mobile Robots (16 papers). Seong-Ik Han collaborates with scholars based in South Korea. Seong-Ik Han's co-authors include Jang M. Lee, Jang-Myung Lee, Jang Myung Lee, Kwon Soon Lee, Jang-Myung Lee, Jong‐Shik Kim, Sung Bum Park, Jae‐Myung Lee, Min Gyu Park and Hyun Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Seong-Ik Han

71 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong-Ik Han South Korea 20 1.2k 325 256 235 203 75 1.5k
Linghuan Kong China 23 1.2k 0.9× 195 0.6× 300 1.2× 349 1.5× 166 0.8× 55 1.5k
R. Garrido Mexico 20 1.1k 0.9× 330 1.0× 174 0.7× 65 0.3× 156 0.8× 129 1.6k
Eng Hock Tay Singapore 6 2.1k 1.7× 199 0.6× 436 1.7× 630 2.7× 138 0.7× 11 2.3k
Mohammad Mehdi Fateh Iran 27 1.3k 1.1× 422 1.3× 143 0.6× 79 0.3× 236 1.2× 105 1.7k
Aydın Yeşildirek United States 11 1.7k 1.4× 188 0.6× 181 0.7× 306 1.3× 632 3.1× 36 1.9k
Xiaolong Zheng China 25 2.1k 1.7× 328 1.0× 727 2.8× 483 2.1× 182 0.9× 70 2.8k
B. M. Patre India 24 1.4k 1.1× 176 0.5× 101 0.4× 84 0.4× 140 0.7× 135 1.7k
Zhi‐Liang Zhao China 20 2.2k 1.8× 409 1.3× 326 1.3× 138 0.6× 70 0.3× 45 2.5k
Víctor Santibáñez Mexico 27 2.1k 1.7× 394 1.2× 115 0.4× 69 0.3× 208 1.0× 154 2.3k
Yuxin Su China 24 1.8k 1.4× 425 1.3× 154 0.6× 93 0.4× 73 0.4× 101 2.1k

Countries citing papers authored by Seong-Ik Han

Since Specialization
Citations

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

Fields of papers citing papers by Seong-Ik Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong-Ik Han. 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 Seong-Ik Han. The network helps show where Seong-Ik Han may publish in the future.

Co-authorship network of co-authors of Seong-Ik Han

This figure shows the co-authorship network connecting the top 25 collaborators of Seong-Ik Han. A scholar is included among the top collaborators of Seong-Ik Han 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 Seong-Ik Han. Seong-Ik Han 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
2.
Han, Seong-Ik. (2020). Fractional-order Sliding Mode Constraint Control for Manipulator Systems Using Grey Wolf and Whale Optimization Algorithms. International Journal of Control Automation and Systems. 19(2). 676–686. 11 indexed citations
3.
Han, Seong-Ik. (2020). Fractional-order command filtered backstepping sliding mode control with fractional-order nonlinear disturbance observer for nonlinear systems. Journal of the Franklin Institute. 357(11). 6760–6776. 31 indexed citations
4.
Han, Seong-Ik, et al.. (2018). Dual closed-loop sliding mode control for a decoupled three-link wheeled mobile manipulator. ISA Transactions. 80. 322–335. 16 indexed citations
5.
Han, Seong-Ik, et al.. (2017). Finite-Time Sliding Mode Controller Design for Formation Control of Multi-Agent Mobile Robots. The Journal of Korea Robotics Society. 12(3). 339–349. 2 indexed citations
6.
Han, Seong-Ik & Jang-Myung Lee. (2016). Finite-time sliding surface constrained control for a robot manipulator with an unknown deadzone and disturbance. ISA Transactions. 65. 307–318. 60 indexed citations
7.
Han, Seong-Ik & Jang Myung Lee. (2016). Approximation-Free Tracking Error Constraint Control for Lagrangian Systems. IEEE Transactions on Industrial Electronics. 64(2). 1269–1278. 12 indexed citations
8.
Han, Seong-Ik, et al.. (2015). Fuzzy Finite-Time Dynamic Surface Control for Nonlinear Large-Scale Systems. International Journal of Fuzzy Systems. 18(4). 570–584. 13 indexed citations
9.
Han, Seong-Ik, et al.. (2015). Trajectory following control of mobile inverted pendulum robot with pre-determined tilt angle. Journal of Mechanical Science and Technology. 29(12). 5417–5424. 1 indexed citations
10.
Han, Seong-Ik & Jang-Myung Lee. (2013). Recurrent fuzzy neural network backstepping control for the prescribed output tracking performance of nonlinear dynamic systems. ISA Transactions. 53(1). 33–43. 82 indexed citations
11.
Han, Seong-Ik, et al.. (2012). Attitude and Direction Control of the Unicycle Robot Using Fuzzy-Sliding Mode Control. Journal of Institute of Control Robotics and Systems. 18(3). 275–284. 7 indexed citations
12.
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
13.
Han, Seong-Ik, et al.. (2009). Adaptive friction observer and sliding mode controller development with RFNN for nonlinear friction compensation. 2009 ICCAS-SICE. 4971–4976. 5 indexed citations
14.
Han, Seong-Ik, et al.. (2009). Adaptive Tire-Road Dynamic Friction Estimation and Emergency Braking Control Using Sliding Mode and Recurrent Fuzzy Neural Network. 한국자동차공학회 춘 추계 학술대회 논문집. 49–54. 1 indexed citations
15.
Han, Seong-Ik, et al.. (2009). Non-linear friction compensation using backstepping control and robust friction state observer with recurrent fuzzy neural networks. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 223(7). 973–988. 10 indexed citations
16.
Han, Seong-Ik, et al.. (2009). Adaptive dynamic friction observer and recurrent fuzzy neural network estimator design with backstepping control. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 223(7). 885–900. 2 indexed citations
17.
Han, Seong-Ik, et al.. (2006). Development of a novel dynamic friction model and precise tracking control using adaptive back-stepping sliding mode controller. Mechatronics. 16(2). 97–104. 41 indexed citations
18.
Han, Seong-Ik. (2003). Disturbance Observer- Based Sliding Mode Control for the Precise Mechanical System with the Bristle Friction Model. International Journal of Precision Engineering and Manufacturing. 4(5). 5–14. 1 indexed citations
19.
Han, Seong-Ik, et al.. (2002). Precise Control for Servo Systems Using Sliding Mode Observer and Controller. Journal of the Korean Society for Precision Engineering. 19(7). 154–162. 1 indexed citations
20.
Han, Seong-Ik. (2000). Quasi-LQG/H ∞ /LTR Control for a Nonlinear Servo System with Coulomb Friction and Dead-zone. International Journal of Precision Engineering and Manufacturing. 1(2). 24–34. 1 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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