Sang-Ho Hyon

2.7k citations
98 papers · 2.1k indexed · h-index 24
Topics
Robotic Locomotion and Control (64 papers)Prosthetics and Rehabilitation Robotics (42 papers)Muscle activation and electromyography studies (23 papers)

In The Last Decade

Sang-Ho Hyon

92 papers receiving 2.0k citations

Peers

Sang-Ho Hyon
Comparison fields: 5 of 83
  • Biomedical Engineering 1.7k
  • Control and Systems Engineering 880
  • Mechanical Engineering 300
  • Computer Vision and Pattern Recognition 156
  • Aerospace Engineering 149
Replace Luis Sentis with:
Luis Sentis United States
Scott Kuindersma United States
C. David Remy United States
Michael Mistry United Kingdom
Katja Mombaur Germany
Jaeheung Park South Korea
Máximo A. Roa Germany
Gustavo A. Medrano‐Cerda Italy
Satoshi Ito Japan
Patrick M. Wensing United States
Sang-Ho Hyon relative to Luis Sentis United States Luis Sentis's profile →
Citations per field
00.5×1.5×
Luis Sentis · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
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JOINT TORQUE CONTROL OF A HYDRAULIC MANIPULATOR WITH HYBRID SERVO BOOSTER
3
4 4
5 2
6 8
7 12
8 1
9 14
10 6
11 79
12 21
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A Learning Method for Nonlinear Dynamical Motor Primitives from a Variety of Nominal Trajectories : Application to Robot Learning from Demonstration
1
14
Control of underactuated biped running robot via CPG
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15 0
16 1
17 41
18 2
19 4
20 2

About Sang-Ho Hyon

Sang-Ho Hyon is a scholar working on Control and Systems Engineering, Biomedical Engineering and Rehabilitation, having authored 98 papers that have together received 2.1k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (64 papers), Prosthetics and Rehabilitation Robotics (42 papers) and Muscle activation and electromyography studies (23 papers). The work is most often cited by research in Biomedical Engineering (1.7k citations), Control and Systems Engineering (880 citations) and Rehabilitation (118 citations). Sang-Ho Hyon has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Gordon Cheng, Jun Morimoto, T. Mita, Joshua G. Hale, Takamitsu Matsubara, T. Emura, Tomoyuki Noda, Aleš Ude, G.E. Colvin and Mitsuo Kawato. Their work appears in journals such as Neural Networks, IEEE Transactions on Robotics and Automation and IEEE Transactions on Robotics.

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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