Jung Kim

6.7k total citations · 3 hit papers
287 papers, 4.9k citations indexed

About

Jung Kim is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Mechanical Engineering. According to data from OpenAlex, Jung Kim has authored 287 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Biomedical Engineering, 77 papers in Cognitive Neuroscience and 36 papers in Mechanical Engineering. Recurrent topics in Jung Kim's work include Muscle activation and electromyography studies (115 papers), Advanced Sensor and Energy Harvesting Materials (66 papers) and Prosthetics and Rehabilitation Robotics (49 papers). Jung Kim is often cited by papers focused on Muscle activation and electromyography studies (115 papers), Advanced Sensor and Energy Harvesting Materials (66 papers) and Prosthetics and Rehabilitation Robotics (49 papers). Jung Kim collaborates with scholars based in South Korea, United States and Germany. Jung Kim's co-authors include Bummo Ahn, Hyosang Lee, Pilwon Heo, Gwang Min Gu, Kyungseo Park, Hyonyoung Han, Changmok Choi, Mandayam A. Srinivasan, Inkyu Park and Soojin Lee and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Jung Kim

265 papers receiving 4.7k citations

Hit Papers

Current hand exoskeleton technologies for rehabilitation ... 2012 2026 2016 2021 2012 2022 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jung Kim South Korea 32 3.3k 1.1k 644 559 535 287 4.9k
Carlo Menon Canada 45 4.7k 1.4× 1.5k 1.3× 882 1.4× 559 1.0× 979 1.8× 425 8.2k
Hannes Bleuler Switzerland 39 2.8k 0.9× 1.5k 1.4× 1.3k 2.0× 569 1.0× 1.4k 2.6× 215 5.6k
Guanglin Li China 48 5.3k 1.6× 3.1k 2.8× 818 1.3× 488 0.9× 328 0.6× 462 9.4k
Peter Wolf Switzerland 33 1.6k 0.5× 1.3k 1.1× 190 0.3× 693 1.2× 173 0.3× 190 4.8k
Yong‐Ping Zheng Hong Kong 47 4.0k 1.2× 658 0.6× 311 0.5× 768 1.4× 248 0.5× 420 8.3k
Yoky Matsuoka United States 28 1.8k 0.5× 971 0.9× 161 0.3× 431 0.8× 313 0.6× 95 3.4k
Raymond Kai‐Yu Tong Hong Kong 44 3.4k 1.0× 1.7k 1.5× 660 1.0× 2.6k 4.6× 125 0.2× 307 7.0k
Yasuhisa Hasegawa Japan 30 2.7k 0.8× 330 0.3× 227 0.4× 776 1.4× 590 1.1× 402 4.3k
Calogero Maria Oddo Italy 31 2.8k 0.8× 1.4k 1.3× 1.1k 1.7× 351 0.6× 517 1.0× 113 4.5k
Chen‐Hua Yeow Singapore 35 4.0k 1.2× 581 0.5× 195 0.3× 619 1.1× 1.0k 1.9× 164 5.1k

Countries citing papers authored by Jung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jung Kim. A scholar is included among the top collaborators of Jung Kim 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 Jung Kim. Jung Kim 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
1.
Kim, Jung, et al.. (2025). Low-profile folding mechanism for multi-DoF feedback control. Soft Matter. 21(31). 6186–6196.
2.
Kim, Jung. (2024). Efforts and Challenges for Medical Robots in South Korea. Journal of Institute of Control Robotics and Systems. 30(4). 423–427. 1 indexed citations
3.
Shin, Wonseok & Jung Kim. (2023). Switchable compliant actuator with fast stiffness modulation and energy efficient power transmission. Mechatronics. 90. 102929–102929. 5 indexed citations
4.
Park, Hyunkyu, et al.. (2023). In-Hand Object Classification and Pose Estimation With Sim-to-Real Tactile Transfer for Robotic Manipulation. IEEE Robotics and Automation Letters. 9(1). 659–666. 5 indexed citations
5.
Na, Youngjin, et al.. (2023). Development of a High-SNR Stochastic sEMG Processor in a Multiple Muscle Elbow Joint. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 2654–2664. 2 indexed citations
6.
Kim, Jeong-Jung, et al.. (2023). Marker-Embedded Tactile Image Generation via Generative Adversarial Networks. IEEE Robotics and Automation Letters. 8(8). 4481–4488. 9 indexed citations
7.
Oh, Jinwon, Jin‐Oh Kim, Jun Chang Yang, et al.. (2019). Highly Uniform and Low Hysteresis Piezoresistive Pressure Sensors Based on Chemical Grafting of Polypyrrole on Elastomer Template with Uniform Pore Size. Small. 15(33). e1901744–e1901744. 125 indexed citations
8.
Song, Kyo D., et al.. (2019). Preliminary operational aspects of microwave-powered airship drone. International Journal of Micro Air Vehicles. 11. 12 indexed citations
9.
Kim, Jung, et al.. (2018). Fatigue characteristics of surface electromyography during walking. International Conference on Control, Automation and Systems. 897–899. 3 indexed citations
10.
Oh, Jinwon, Jun Chang Yang, Jin‐Oh Kim, et al.. (2018). Pressure Insensitive Strain Sensor with Facile Solution-Based Process for Tactile Sensing Applications. ACS Nano. 12(8). 7546–7553. 188 indexed citations
11.
Shin, Wonseok & Jung Kim. (2018). Design of a dynamic joint impedance measurement system. International Conference on Control, Automation and Systems. 1123–1125. 1 indexed citations
12.
Kim, Jung, et al.. (2014). Multi-Sensor Fusion based Target Detection using EO/ SAR. 1–2. 1 indexed citations
13.
Kim, Jung, et al.. (2011). Interference effect analysis from ground based radar in high resolution spaceborne SAR image. IEEE Asia-Pacific Conference on Synthetic Aperture Radar. 1–4. 1 indexed citations
14.
Kim, Jung, et al.. (2009). Design Sensitivity Analysis and Optimization of McPherson Suspension Systems. Lecture notes in computer science. 2177(1). 1532–1537. 11 indexed citations
15.
Youn, Wonkeun & Jung Kim. (2009). Development of a compact-size and wireless surface EMG measurement system. 2009 ICCAS-SICE. 1625–1628. 37 indexed citations
16.
Kwon, Suncheol & Jung Kim. (2009). Real-time motion intention estimation based using surface electromyography for collision avoidance. 2009 ICCAS-SICE. 218–222. 2 indexed citations
17.
Park, Jong Moon & Jung Kim. (2009). EXISTENCE AND UNIFORM DECAY FOR A NONLINEAR VISCOELASTIC EQUATION WITH STRONG DAMPING AND NONLINEAR BOUNDARY MEMORY DAMPING TERM. Dynamic Systems and Applications. 18. 1 indexed citations
18.
Kim, Jung, et al.. (2008). A Study of 3D Design Data Extraction for Thermal Forming Information. 12(3). 1–13. 2 indexed citations
19.
Choi, Changmok, et al.. (2007). Development of an EMG-based computer interface for the physically handicapped. International Conference on Human-Computer Interaction. 222–227. 1 indexed citations
20.
Kim, Jung, et al.. (2003). A Study on Finite Element Modeling of the Structure with Bolted Joints. Journal of the Korean Society for Precision Engineering. 20(8). 205–212. 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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