Seung-kook Yun
- Biomedical Engineering
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Ambarish GoswamiDaniela RusYoseob YoonCarrick DetweilerMarsette VonaKangKang YinShivaram KalyanakrishnanSung‐Hee Lee
- Topics
- Modular Robots and Swarm Intelligence (10 papers)Optimization and Search Problems (6 papers)Robot Manipulation and Learning (6 papers)
- Cited by
- Control and Systems EngineeringBiomedical EngineeringIndustrial and Manufacturing Engineering
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Seung-kook Yun
25 papers receiving 393 citations
Peers
Comparison fields: 5 of 36
- Biomedical Engineering 232
- Mechanical Engineering 155
- Control and Systems Engineering 143
- Computer Networks and Communications 81
- Computer Vision and Pattern Recognition 55
Countries citing papers authored by Seung-kook Yun
This map shows the geographic impact of Seung-kook Yun'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 Seung-kook Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-kook Yun more than expected).
Fields of papers citing papers by Seung-kook Yun
This network shows the impact of papers produced by Seung-kook Yun. 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 Seung-kook Yun. The network helps show where Seung-kook Yun may publish in the future.
Co-authorship network of co-authors of Seung-kook Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-kook Yun. A scholar is included among the top collaborators of Seung-kook Yun 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 Seung-kook Yun. Seung-kook Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 29 | |
| 3 | 28 | |
| 4 | 14 | |
| 5 | 11 | |
| 6 | 39 | |
| 7 | 12 | |
| 8 | 21 | |
| 9 | 37 | |
| 10 | 15 | |
| 11 | 54 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Development of a Joint Torque Sensor Fully Integrated with an Actuator | 7 |
| 18 | Tactile feedback in tangible space | 1 |
| 19 | 1 | |
| 20 | 6 |
About Seung-kook Yun
Seung-kook Yun is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Biomedical Engineering, having authored 26 papers that have together received 415 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (10 papers), Optimization and Search Problems (6 papers) and Robot Manipulation and Learning (6 papers). The work is most often cited by research in Control and Systems Engineering (143 citations), Biomedical Engineering (232 citations) and Industrial and Manufacturing Engineering (46 citations). Seung-kook Yun has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Ambarish Goswami, Daniela Rus, Yoseob Yoon, Carrick Detweiler, Marsette Vona, KangKang Yin, Shivaram Kalyanakrishnan, Sung‐Hee Lee, Umashankar Nagarajan and Lauren K. White. Their work appears in journals such as IEEE Transactions on Robotics, Autonomous Robots and IEEE Robotics & Automation Magazine.
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.