Sang-Ho Hyon

2.7k total citations
98 papers, 2.1k citations indexed

About

Sang-Ho Hyon is a scholar working on Biomedical Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Sang-Ho Hyon has authored 98 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Biomedical Engineering, 54 papers in Control and Systems Engineering and 16 papers in Mechanical Engineering. Recurrent topics in Sang-Ho Hyon's work include Robotic Locomotion and Control (64 papers), Prosthetics and Rehabilitation Robotics (42 papers) and Muscle activation and electromyography studies (23 papers). Sang-Ho Hyon is often cited by papers focused on Robotic Locomotion and Control (64 papers), Prosthetics and Rehabilitation Robotics (42 papers) and Muscle activation and electromyography studies (23 papers). Sang-Ho Hyon collaborates with scholars based in Japan, United States and United Kingdom. Sang-Ho Hyon's co-authors include Gordon Cheng, Jun Morimoto, T. Mita, Joshua G. Hale, Takamitsu Matsubara, T. Emura, Tomoyuki Noda, Aleš Ude, Mitsuo Kawato and G.E. Colvin and has published in prestigious journals such as Neural Networks, IEEE Transactions on Robotics and Automation and IEEE Transactions on Robotics.

In The Last Decade

Sang-Ho Hyon

92 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sang-Ho Hyon Japan	24	1.7k	880	300	156	149	98	2.1k
Luis Sentis United States	20	1.8k 1.1×	1.5k 1.7×	441 1.5×	377 2.4×	99 0.7×	102	2.5k
C. David Remy United States	28	2.0k 1.2×	666 0.8×	283 0.9×	118 0.8×	285 1.9×	93	2.4k
Katja Mombaur Germany	23	1.6k 1.0×	670 0.8×	109 0.4×	273 1.8×	155 1.0×	134	2.2k
Scott Kuindersma United States	19	1.3k 0.8×	766 0.9×	207 0.7×	340 2.2×	151 1.0×	32	2.0k
Michael Mistry United Kingdom	26	1.8k 1.1×	1.6k 1.8×	459 1.5×	380 2.4×	251 1.7×	80	2.6k
Máximo A. Roa Germany	25	1.8k 1.1×	1.6k 1.9×	448 1.5×	330 2.1×	231 1.6×	123	2.6k
Oliver Eiberger Germany	15	1.6k 1.0×	1.1k 1.3×	470 1.6×	152 1.0×	98 0.7×	22	2.1k
Jaeheung Park South Korea	23	1.1k 0.7×	1.3k 1.5×	492 1.6×	413 2.6×	109 0.7×	160	2.0k
Jung-Yup Kim South Korea	18	1.3k 0.8×	657 0.7×	200 0.7×	187 1.2×	174 1.2×	107	1.7k
Hirohiko Arai Japan	22	1.3k 0.8×	1.5k 1.7×	656 2.2×	394 2.5×	145 1.0×	111	2.4k

Countries citing papers authored by Sang-Ho Hyon

Since Specialization

Citations

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

Fields of papers citing papers by Sang-Ho Hyon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang-Ho Hyon. 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 Sang-Ho Hyon. The network helps show where Sang-Ho Hyon may publish in the future.

Co-authorship network of co-authors of Sang-Ho Hyon

This figure shows the co-authorship network connecting the top 25 collaborators of Sang-Ho Hyon. A scholar is included among the top collaborators of Sang-Ho Hyon 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 Sang-Ho Hyon. Sang-Ho Hyon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Watanabe, Yuki, et al.. (2024). State Estimation and Fail-Safe Control for Water Hydraulic Robots Driven by Air-Hydraulic Servo Booster. Journal of the Robotics Society of Japan. 42(9). 928–931.

Hyon, Sang-Ho. (2017). JOINT TORQUE CONTROL OF A HYDRAULIC MANIPULATOR WITH HYBRID SERVO BOOSTER. 3 indexed citations

Hyon, Sang-Ho, et al.. (2016). Prototyping Force-Controlled 3-DOF Hydraulic Arms for Humanoid Robots. Journal of Robotics and Mechatronics. 28(1). 95–103. 4 indexed citations

Matsubara, Takamitsu, et al.. (2016). Latent Kullback-Leibler control for dynamic imitation learning of whole-body behaviors in humanoid robots. 946–951. 2 indexed citations

Hyon, Sang-Ho, et al.. (2014). 1A1-I02 Development of Hydraulic Quadruped Walking Robot RL-A1(Force Controlled Hydraulic Robots (1)). The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2014(0). _1A1–I02_1. 2 indexed citations

Takanishi, Atsuo, Shuuji Kajita, Akihito SANO, et al.. (2012). Biped Robot Technology Now. Journal of the Robotics Society of Japan. 30(4). 336–343. 1 indexed citations

Noda, Tomoyuki, et al.. (2012). Brain-controlled exoskeleton robot for BMI rehabilitation. 21–27. 50 indexed citations

Tadakuma, Kenjiro & Sang-Ho Hyon. (2011). The 2010 IEEE International Conference on Robotics and Automation (ICRA2010). Journal of the Robotics Society of Japan. 29(2). 160–161. 6 indexed citations

Matsubara, Takamitsu, Sang-Ho Hyon, & Jun Morimoto. (2011). Learning parametric dynamic movement primitives from multiple demonstrations. Neural Networks. 24(5). 493–500. 79 indexed citations

10.

Matsubara, Takamitsu, Sang-Ho Hyon, & Jun Morimoto. (2011). Real-time stylistic prediction for whole-body human motions. Neural Networks. 25(1). 191–199. 21 indexed citations

11.

Matsubara, Takamitsu, Sang-Ho Hyon, & Jun Morimoto. (2010). A Learning Method for Nonlinear Dynamical Motor Primitives from a Variety of Nominal Trajectories : Application to Robot Learning from Demonstration. IEICE technical report. Speech. 110(265). 251–256. 1 indexed citations

12.

Yamakita, Masaki, et al.. (2009). Control of underactuated biped running robot via CPG. 2009 ICCAS-SICE. 2705–2709. 1 indexed citations

13.

Hyon, Sang-Ho. (2009). A Passivity-Based Optimal Contact Force Control for Humanoid Robots with Redundant Joints and Multiple Contact Points. Journal of the Robotics Society of Japan. 27(2). 178–187.

14.

Fujimoto, Kenji, et al.. (2007). Optimal Gait Generation for a One-legged Robot Based on Variational Symmetry of Hamiltonian Systems. Transactions of the Society of Instrument and Control Engineers. 43(12). 1103–1110. 1 indexed citations

15.

Morimoto, Jun, Gen Endo, Sang-Ho Hyon, & Gordon Cheng. (2007). A simple approach to diverse humanoid locomotion. 56. 596–602. 3 indexed citations

16.

Hyon, Sang-Ho & Gordon Cheng. (2006). Gravity Compensation and Full-Body Balancing for Humanoid Robots. 214–221. 41 indexed citations

17.

Hyon, Sang-Ho, Xuepeng Jiang, & T. Emura. (2004). Passive running of planar 1/2/4-legged robots. The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2004(0). 71–71. 2 indexed citations

18.

Hyon, Sang-Ho, T. Emura, & Tetsushi Ueta. (2004). Delayed feedback control of one-legged passive running robot. Society of Instrument and Control Engineers of Japan. 1. 14–14. 4 indexed citations

19.

Mita, T., et al.. (2002). Analytical time optimal control solution for a 2-link free flying acrobots. 3. 2741–2746. 2 indexed citations

20.

Mita, Tsutomu, et al.. (2000). Derivation of the Time Optimal Control for an Underactuated Free Flying Mechanism and Its Analysis. Transactions of the Society of Instrument and Control Engineers. 36(8). 668–675. 2 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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