ChangHwan Kim
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- Robot Manipulation and Learning 17
- Robotic Mechanisms and Dynamics 9
- Human Motion and Animation 5
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- Robotic Path Planning Algorithms 8
- Human-Computer Interaction top 10%
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- Robotic Locomotion and Control 16
- Prosthetics and Rehabilitation Robotics 7
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- Robotics and Sensor-Based Localization 11
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- Optimization and Search Problems 4
- Co-authors
- Sung Yul ShinChangjoo NamBum-Jae YouSang–Rok OhDoik KimDong Hwan KimYonghwan OhSe-Young Yun
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionComplementary and alternative medicine
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Transactions on Industrial Electronics (1 paper)Information Sciences (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
ChangHwan Kim
50 papers receiving 592 citations
Peers
Comparison fields: 5 of 82
- Control and Systems Engineering 288
- Computer Vision and Pattern Recognition 184
- Complementary and alternative medicine 70
- Human-Computer Interaction 34
- Biomedical Engineering 235
Countries citing papers authored by ChangHwan Kim
This map shows the geographic impact of ChangHwan Kim'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 ChangHwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ChangHwan Kim more than expected).
Fields of papers citing papers by ChangHwan Kim
This network shows the impact of papers produced by ChangHwan Kim. 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 ChangHwan Kim. The network helps show where ChangHwan Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside ChangHwan Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 46 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 13 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 2 | |
| 12 | 2017 | 12 | |
| 13 | 2017 | 2 | |
| 14 | 2010 | 3 | |
| 15 | 2010 | 3 | |
| 16 | Coordinated task execution by humanoid robot | 2009 | 2 |
| 17 | 2007 | 73 | |
| 18 | 2006 | 11 | |
| 19 | Adaptation of Motion Capture Data of Human Arms to a Humanoid Robot Using Optimization | 2005 | 6 |
| 20 | 2001 | 11 |
About ChangHwan Kim
ChangHwan Kim is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 53 papers that have together received 614 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (17 papers), Robotic Locomotion and Control (16 papers), Robotics and Sensor-Based Localization (11 papers), Robotic Mechanisms and Dynamics (9 papers), Robotic Path Planning Algorithms (8 papers), Prosthetics and Rehabilitation Robotics (7 papers), Human Motion and Animation (5 papers) and Optimization and Search Problems (4 papers). The work is most often cited by research in Control and Systems Engineering (288 citations), Computer Vision and Pattern Recognition (184 citations) and Complementary and alternative medicine (70 citations). ChangHwan Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung Yul Shin, Changjoo Nam, Bum-Jae You, Sang–Rok Oh, Doik Kim, Dong Hwan Kim, Yonghwan Oh, Se-Young Yun, Jaehoon Oh and Ryowon Choue. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Information Sciences.
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.