Hyungbo Shim

6.7k total citations · 2 hit papers
237 papers, 4.9k citations indexed

About

Hyungbo Shim is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hyungbo Shim has authored 237 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Control and Systems Engineering, 61 papers in Computer Networks and Communications and 26 papers in Artificial Intelligence. Recurrent topics in Hyungbo Shim's work include Adaptive Control of Nonlinear Systems (96 papers), Advanced Control Systems Optimization (58 papers) and Stability and Control of Uncertain Systems (53 papers). Hyungbo Shim is often cited by papers focused on Adaptive Control of Nonlinear Systems (96 papers), Advanced Control Systems Optimization (58 papers) and Stability and Control of Uncertain Systems (53 papers). Hyungbo Shim collaborates with scholars based in South Korea, United States and United Kingdom. Hyungbo Shim's co-authors include Jin H. Seo, Juhoon Back, Hongkeun Kim, Nam Hoon Jo, Chanhwa Lee, Young Ik Son, Junsoo Kim, Daniel Liberzon, Aneel Tanwani and Gyunghoon Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Hyungbo Shim

217 papers receiving 4.8k citations

Hit Papers

Output Consensus of Heter... 2009 2026 2014 2020 2010 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyungbo Shim South Korea 35 3.2k 2.2k 528 450 440 237 4.9k
Randy A. Freeman United States 29 2.5k 0.8× 2.0k 0.9× 457 0.9× 495 1.1× 501 1.1× 84 4.4k
Hongwei Zhang China 25 2.2k 0.7× 3.3k 1.5× 526 1.0× 233 0.5× 190 0.4× 116 4.4k
Deyuan Meng China 34 2.5k 0.8× 2.1k 1.0× 421 0.8× 185 0.4× 594 1.4× 174 3.8k
Jie Huang China 21 3.5k 1.1× 1.7k 0.8× 359 0.7× 396 0.9× 241 0.5× 129 4.7k
Yijing Wang China 33 2.6k 0.8× 2.0k 0.9× 461 0.9× 338 0.8× 146 0.3× 236 3.8k
Ziyang Meng China 29 2.3k 0.7× 3.9k 1.8× 540 1.0× 369 0.8× 155 0.4× 144 4.8k
Jianliang Wang Singapore 42 5.2k 1.6× 1.7k 0.8× 562 1.1× 349 0.8× 257 0.6× 273 6.4k
Yan Zhou China 20 1.2k 0.4× 1.3k 0.6× 236 0.4× 449 1.0× 199 0.5× 103 2.7k
Haibo Du China 43 5.8k 1.8× 3.8k 1.8× 737 1.4× 212 0.5× 427 1.0× 184 7.3k

Countries citing papers authored by Hyungbo Shim

Since Specialization
Citations

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

Fields of papers citing papers by Hyungbo Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungbo Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyungbo Shim. A scholar is included among the top collaborators of Hyungbo Shim 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 Hyungbo Shim. Hyungbo Shim 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.
Kim, Hyuntae, Gyunghoon Park, & Hyungbo Shim. (2025). Robust disturbance rejection for uncertain linear system with time-varying exo-system: A disturbance observer approach. Automatica. 174. 112100–112100.
2.
Liu, Tengfei, et al.. (2024). A Lyapunov Characterization of Prescribed Performance Control Systems. IEEE Transactions on Automatic Control. 69(11). 7917–7924. 3 indexed citations
3.
Park, Gyunghoon, Hyungbo Shim, & Tomomichi Hagiwara. (2024). On Existence of Uniformly Marginally Stable Zeros of Linear Sampled-Data Systems and Its Application to Stable Inversion-Based Control. IEEE Access. 12. 49826–49836. 1 indexed citations
4.
Song, Dae Woong, et al.. (2024). Robust Stability Condition and Simplified Design of Filter-embedded Disturbance Observer. International Journal of Control Automation and Systems. 22(12). 3584–3594. 1 indexed citations
5.
Kim, Junsoo, et al.. (2023). Distributed Resilient Observer: Blended Dynamics Theory Meets ℓ1-Minimization Approach. IEEE Control Systems Letters. 7. 2083–2088.
8.
Kim, Junsoo & Hyungbo Shim. (2019). Encrypted State Estimation in Networked Control Systems. 7190–7195. 12 indexed citations
9.
Shim, Hyungbo, et al.. (2018). State Estimation and Tracking Control for Hybrid Systems by Gluing the Domains. IEEE Transactions on Automatic Control. 64(7). 3026–3033. 5 indexed citations
10.
Kim, Jung‐Su, Prathyush P. Menon, Juhoon Back, & Hyungbo Shim. (2017). Disturbance Observer based Boundary Tracking for Environment Monitoring. Journal of Electrical Engineering and Technology. 12(3). 1299–1306. 5 indexed citations
11.
Kim, Jung‐Su, et al.. (2015). Observer-based Feedback Controller Design for Robust Tracking of Discrete-time Polytopic Uncertain LTI Systems. Journal of Electrical Engineering and Technology. 10(6). 2427–2433.
12.
Kim, Jaeyong, et al.. (2012). Practical consensus for heterogeneous linear time-varying multi-agent systems. International Conference on Control, Automation and Systems. 23–28. 22 indexed citations
13.
Lee, Chanhwa, Youngjun Joo, & Hyungbo Shim. (2012). Analysis of discrete-time disturbance observer and a new Q-filter design using delay function. International Conference on Control, Automation and Systems. 556–561. 4 indexed citations
14.
Back, Juhoon, et al.. (2008). Locally Optimal and Robust Backstepping Design for Systems in Strict Feedback Form with C¹ Vector Fields. International Journal of Control Automation and Systems. 6(3). 364–377. 1 indexed citations
15.
Choi, Jin Young, et al.. (2007). Perfect Tracking Control for Linear Systems with State Constraint. International Journal of Control Automation and Systems. 5(2). 218–222. 5 indexed citations
16.
Shim, Hyungbo, et al.. (2003). Design of an Adaptive Obsever for a Class of Nonlinear Systems. International Journal of Control Automation and Systems. 1(1). 28–34. 2 indexed citations
17.
Shim, Hyungbo, Hyung-Jong Kim, & Chung Choo Chung. (2003). Design of Output Regulator for Rejecting Periodic Eccentricity Disturbance in Optical Disc Drive. 제어로봇시스템학회 국제학술대회 논문집. 452–457. 6 indexed citations
18.
Shim, Hyungbo, Seungju Han, Chung Choo Chung, S.W. Nam, & Jin H. Seo. (2003). Optimal Scheduling of Drug Treatment for HIV Infection : Continuous Dose Control and Receding Horizon Control. International Journal of Control Automation and Systems. 1(3). 282–288. 66 indexed citations
19.
Son, Young Ik, Hyungbo Shim, Nam Hoon Jo, & Jin H. Seo. (2003). Further results on passification of non-square linear systems using an input-dimensional compensator. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 86(8). 2139–2143. 3 indexed citations
20.
Son, Young Ik, et al.. (2002). Passification of Non-square Linear Systems Using an Input-dimensional Dynamic Feedforward Compensator. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 85(2). 422–431. 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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