Jee-Hwan Ryu

4.8k total citations · 2 hit papers
173 papers, 3.5k citations indexed

About

Jee-Hwan Ryu is a scholar working on Mechanical Engineering, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Jee-Hwan Ryu has authored 173 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Mechanical Engineering, 65 papers in Biomedical Engineering and 62 papers in Control and Systems Engineering. Recurrent topics in Jee-Hwan Ryu's work include Teleoperation and Haptic Systems (108 papers), Soft Robotics and Applications (48 papers) and Geophysics and Sensor Technology (43 papers). Jee-Hwan Ryu is often cited by papers focused on Teleoperation and Haptic Systems (108 papers), Soft Robotics and Applications (48 papers) and Geophysics and Sensor Technology (43 papers). Jee-Hwan Ryu collaborates with scholars based in South Korea, Germany and United States. Jee-Hwan Ryu's co-authors include Blake Hannaford, Igor Gaponov, Carsten Preusche, Jordi Artigas, Dmitry Popov, Ildar Farkhatdinov, Dmitry Popov, G. Hirzinger, Jaydev P. Desai and Michael C. Yip and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Materials Science and Engineering A.

In The Last Decade

Jee-Hwan Ryu

156 papers receiving 3.5k citations

Hit Papers

Time-domain passivity control of haptic interfaces 2002 2026 2010 2018 2002 2019 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
Jee-Hwan Ryu South Korea 29 2.4k 1.6k 1.3k 720 647 173 3.5k
Keyvan Hashtrudi-Zaad Canada 30 1.9k 0.8× 1.3k 0.8× 1.2k 0.9× 608 0.8× 622 1.0× 152 3.1k
Jeha Ryu South Korea 30 1.5k 0.6× 1.0k 0.7× 1.6k 1.2× 365 0.5× 739 1.1× 202 3.3k
Zheng Wang China 35 1.7k 0.7× 4.5k 2.9× 2.1k 1.6× 255 0.4× 401 0.6× 154 5.6k
Toshiyuki Murakami Japan 30 3.7k 1.5× 1.8k 1.2× 3.8k 2.9× 560 0.8× 384 0.6× 357 5.5k
Yasuyoshi Yokokohji Japan 26 2.0k 0.8× 896 0.6× 1.4k 1.1× 511 0.7× 579 0.9× 154 2.7k
Toshiaki Tsuji Japan 25 991 0.4× 785 0.5× 1.2k 0.9× 232 0.3× 273 0.4× 243 2.4k
Günter Niemeyer United States 24 1.2k 0.5× 951 0.6× 786 0.6× 295 0.4× 543 0.8× 59 2.3k
Wayne J. Book United States 36 2.5k 1.1× 907 0.6× 4.2k 3.2× 389 0.5× 326 0.5× 236 5.2k
Kiyoshi Ohishi Japan 33 3.2k 1.4× 918 0.6× 3.8k 2.9× 364 0.5× 265 0.4× 510 5.3k
Panagiotis Polygerinos United States 28 2.1k 0.9× 6.3k 4.0× 2.0k 1.5× 196 0.3× 512 0.8× 68 6.9k

Countries citing papers authored by Jee-Hwan Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Jee-Hwan Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee-Hwan Ryu. 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 Jee-Hwan Ryu. The network helps show where Jee-Hwan Ryu may publish in the future.

Co-authorship network of co-authors of Jee-Hwan Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Jee-Hwan Ryu. A scholar is included among the top collaborators of Jee-Hwan Ryu 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 Jee-Hwan Ryu. Jee-Hwan Ryu 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, Sanghun, et al.. (2026). A Soft Growing Robotic Endoscope for Painless and Strain-Free Insertion. Soft Robotics. 13(1). 5–18.
2.
Ryu, Jee-Hwan, et al.. (2025). Self-Wearing Adaptive Garments via Soft Robotic Unfurling. IEEE Robotics and Automation Letters. 11(1). 802–809.
3.
Ryu, Jee-Hwan, et al.. (2024). Latency-Free Driving Scene Prediction for On-Road Teledriving With Future-Image-Generation. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16676–16686. 2 indexed citations
4.
Chandler, James H., et al.. (2024). External Steering of Vine Robots via Magnetic Actuation. Soft Robotics. 12(2). 159–170. 4 indexed citations
5.
Ryu, Jee-Hwan, et al.. (2024). Enhancing Maximum Stroke of Twisted String Actuators by Adjusting Twisting Ratio. IEEE Robotics and Automation Letters. 9(6). 5887–5894.
6.
Hulin, Thomas, et al.. (2024). Relaxing Conservatism for Enhanced Impedance Range and Transparency in Haptic Interaction. IEEE Transactions on Haptics. 17(1). 100–107. 1 indexed citations
7.
Ryu, Jee-Hwan, et al.. (2023). Tension Control of Twisted String Actuators in Variation of Stiffness and Original Length of Strings. IEEE/ASME Transactions on Mechatronics. 28(5). 2483–2494. 5 indexed citations
8.
Balachandran, Ribin, et al.. (2022). Chattering-Free Time Domain Passivity Approach. IEEE Transactions on Haptics. 15(3). 572–581. 9 indexed citations
9.
Gaponov, Igor, et al.. (2021). On Energy-Preserving Motion in Twisted String Actuators. IEEE Robotics and Automation Letters. 6(4). 7406–7412. 1 indexed citations
10.
Ryu, Jee-Hwan, et al.. (2020). Passivity Controller Based on Load-Side Damping Assignment for High Stiffness Controlled Series Elastic Actuators. IEEE Transactions on Industrial Electronics. 68(1). 871–881. 20 indexed citations
11.
El-Hussieny, Haitham, Ibrahim A. Hameed, & Jee-Hwan Ryu. (2020). Nonlinear Model Predictive Growth Control of a Class of Plant-Inspired Soft Growing Robots. IEEE Access. 8. 214495–214503. 17 indexed citations
12.
Chu, Ruihang, Yuru Zhang, Hongdong Zhang, et al.. (2019). Co-Actuation: A Method for Achieving High Stiffness and Low Inertia for Haptic Devices. IEEE Transactions on Haptics. 13(2). 312–324. 12 indexed citations
13.
Gaponov, Igor, et al.. (2019). Single-Motor-Based Bidirectional Twisted String Actuation With Variable Radius Pulleys. IEEE Robotics and Automation Letters. 4(4). 3735–3741. 9 indexed citations
14.
Zhang, Jun, Jun Sheng, Ciaran O’Neill, et al.. (2019). Robotic Artificial Muscles: Current Progress and Future Perspectives. IEEE Transactions on Robotics. 35(3). 761–781. 299 indexed citations breakdown →
15.
El-Hussieny, Haitham & Jee-Hwan Ryu. (2018). Inverse discounted-based LQR algorithm for learning human movement behaviors. Applied Intelligence. 49(4). 1489–1501. 15 indexed citations
16.
Popov, Dmitry, et al.. (2013). Twisted Strings-based Elbow Exoskeleton. The Journal of Korea Robotics Society. 8(3). 164–172. 2 indexed citations
17.
Gromov, Boris, et al.. (2012). Field of view deficiency-based dominance distribution for collaborative teleoperation. International Conference on Control, Automation and Systems. 1990–1993. 6 indexed citations
18.
Artigas, Jordi, Jee-Hwan Ryu, Carsten Preusche, & G. Hirzinger. (2011). Network representation and passivity of delayed teleoperation systems. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 40 indexed citations
19.
Artigas, Jordi, Jee-Hwan Ryu, Carsten Preusche, & Gerd Hirzinger. (2011). Network representation and passivity of delayed teleoperation systems. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 47 indexed citations
20.
Ryu, Jee-Hwan, et al.. (2009). Performance analysis of teleoperation systems with different haptic and video time-delay. 2009 ICCAS-SICE. 3371–3375. 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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