Yonghwan Oh

757 citations
82 papers · 563 · h-index 12

Impact in

Papers in

    • Robot Manipulation and Learning 42
    • Robotic Mechanisms and Dynamics 29
    • Adaptive Control of Nonlinear Systems 10
    • Robotic Locomotion and Control 24
    • Prosthetics and Rehabilitation Robotics 18
    • Soft Robotics and Applications 13
    • Muscle activation and electromyography studies 8

Yonghwan Oh

78 papers receiving 539 citations

Peers

Yonghwan Oh
Comparison fields: 5 of 59
  • Control and Systems Engineering 365
  • Human-Computer Interaction 38
  • Biomedical Engineering 241
  • Mechanical Engineering 164
  • Cognitive Neuroscience 65
Replace F.B. Ouezdou with:
F.B. Ouezdou France
Muhammad E. Abdallah United States
Guoyu Zuo China
Kazutoshi Tanaka Japan
Bernd Henze Germany
Samy F. M. Assal Egypt
Júlia Borràs Spain
Rafael Cisneros Japan
Ryosuke Tajima Switzerland
Kazuhiko Yokoyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Yonghwan Oh

Since Specialization
Citations

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

Fields of papers citing papers by Yonghwan Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yonghwan Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yonghwan Oh Line = papers co-authored together Yonghwan Oh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199982
2 201424
3 199822
4 201819
5 201919
6 200516
7 201415
8 201015
9 200614
10 201913
11 200413
12 202112
13 201511
14 201711
15 201111
16 201110
17 201710
18 20229
19 20029
20 20029

About Yonghwan Oh

Yonghwan Oh is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 82 papers that have together received 563 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (42 papers), Robotic Mechanisms and Dynamics (29 papers), Robotic Locomotion and Control (24 papers), Teleoperation and Haptic Systems (18 papers), Prosthetics and Rehabilitation Robotics (18 papers), Soft Robotics and Applications (13 papers), Adaptive Control of Nonlinear Systems (10 papers) and Muscle activation and electromyography studies (8 papers). The work is most often cited by research in Control and Systems Engineering (365 citations), Human-Computer Interaction (38 citations), Biomedical Engineering (241 citations), Mechanical Engineering (164 citations) and Cognitive Neuroscience (65 citations). Yonghwan Oh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Wan Kyun Chung, Sang–Rok Oh, Youngil Youm, Doik Kim, Jaeyoung Park, ChangHwan Kim, Ji‐Hun Bae, Jung Hoon Kim, Cheol-Hwi Ryu and Hong Z. Tan. Their work appears in journals such as Applied Sciences, IEEE Access, Advanced Robotics, Robotics and Autonomous Systems and Journal of the Taiwan Institute of Chemical Engineers.

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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