Soohyun Kim
- Automotive Engineering top 2%
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- Supercapacitor Materials and Fabrication 7
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- Advanced battery technologies research 11
- Photonic and Optical Devices 7
- Terahertz technology and applications 7
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- Robot Manipulation and Learning 7
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- Advanced Vision and Imaging 8
- Optical measurement and interference techniques 7
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- Advanced Optical Sensing Technologies 7
Soohyun Kim
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Automotive Engineering 393
- Electronic, Optical and Magnetic Materials 321
- Electrical and Electronic Engineering 951
- Renewable Energy, Sustainability and the Environment 228
- Control and Systems Engineering 208
Countries citing papers authored by Soohyun Kim
This map shows the geographic impact of Soohyun 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 Soohyun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soohyun Kim more than expected).
Fields of papers citing papers by Soohyun Kim
This network shows the impact of papers produced by Soohyun 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 Soohyun Kim. The network helps show where Soohyun Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Soohyun 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 | 2025 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 18 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 1 | |
| 10 | 2017 | 28 | |
| 11 | 2013 | 3 | |
| 12 | Development of electromagnet brake robot finger for highly dexterous motion through a single motor | 2012 | 2 |
| 13 | Control and synchronization of Lorenz systems via robust backstepping technique | 2012 | 2 |
| 14 | Design and modeling of an image stabilizing device for small unmanned ground vehicle | 2012 | 1 |
| 15 | Changes of Contrast Sensitivity with Decreasing Luminance in Photopic Conditions | 2012 | 3 |
| 16 | A Study of Emotion evoked by colors and changes of color - Focused on the smart wear | 2009 | 1 |
| 17 | 2009 | 3 | |
| 18 | 2009 | 46 | |
| 19 | Emotional Action Simulation of 2 Wheeled Inverted Pendulum Mobile Robot. | 2003 | 3 |
| 20 | Relative Error Compensation of Robot Using Neural Network | 1999 | 0 |
About Soohyun Kim
Soohyun Kim is a scholar working on Instrumentation, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced battery technologies research (11 papers), Advanced Vision and Imaging (8 papers), Robot Manipulation and Learning (7 papers), Advanced Optical Sensing Technologies (7 papers), Optical measurement and interference techniques (7 papers), Supercapacitor Materials and Fabrication (7 papers), Photonic and Optical Devices (7 papers) and Terahertz technology and applications (7 papers). The work is most often cited by research in Automotive Engineering (393 citations), Electronic, Optical and Magnetic Materials (321 citations) and Electrical and Electronic Engineering (951 citations). Soohyun Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hee‐Tak Kim, Chanyong Choi, Riyul Kim, Kyung-Soo Kim, Kyung‐Soo Kim, Ho‐Young Jung, Soowhan Kim, Jung Hoon Yang, Jiyun Heo and Ju‐Hyuk Lee. Their work appears in journals such as Nature Communications, Nano Letters and ACS Nano.
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.