Woo-Keun Yoon

38 total papers · 762 total citations
23 papers, 554 citations indexed

About

Woo-Keun Yoon is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Woo-Keun Yoon has authored 23 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Woo-Keun Yoon's work include Teleoperation and Haptic Systems (12 papers), Robot Manipulation and Learning (11 papers) and Soft Robotics and Applications (7 papers). Woo-Keun Yoon is often cited by papers focused on Teleoperation and Haptic Systems (12 papers), Robot Manipulation and Learning (11 papers) and Soft Robotics and Applications (7 papers). Woo-Keun Yoon collaborates with scholars based in Japan, Poland and Sweden. Woo-Keun Yoon's co-authors include Takashi Suehiro, K. Kitagaki, Tetsuo Kotoku, Noriaki Ando, Yuichi Tsumaki, Masaru Uchiyama, Masayuki Shimizu, Hiromu Onda, Hideyuki Tanaka and Hiroshi Kawabe and has published in prestigious journals such as Robotica, Journal of Robotics and Mechatronics and Proceedings - IEEE International Conference on Robotics and Automation/Proceedings.

In The Last Decade

Woo-Keun Yoon

22 papers receiving 505 citations

Hit Papers

RT-middleware: distribute... 2005 2026 2012 2019 2005 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Woo-Keun Yoon 448 321 116 99 96 23 554
Jonathan Bohren 264 0.6× 155 0.5× 171 1.5× 98 1.0× 76 0.8× 8 518
Ajay Kumar Tanwani 273 0.6× 120 0.4× 107 0.9× 116 1.2× 45 0.5× 26 507
G. Schreiber 237 0.5× 136 0.4× 94 0.8× 133 1.3× 193 2.0× 23 531
K. Takase 334 0.7× 157 0.5× 168 1.4× 225 2.3× 94 1.0× 49 570
Gajamohan Mohanarajah 448 1.0× 334 1.0× 91 0.8× 53 0.5× 163 1.7× 12 623
Guangzhu Peng 381 0.9× 183 0.6× 79 0.7× 218 2.2× 37 0.4× 18 586
Moon-Hong Baeg 452 1.0× 156 0.5× 158 1.4× 299 3.0× 100 1.0× 50 687
Douglas W. Gage 186 0.4× 120 0.4× 254 2.2× 102 1.0× 138 1.4× 34 593
Erick J. Rodríguez-Seda 307 0.7× 205 0.6× 186 1.6× 71 0.7× 70 0.7× 41 523
Alexis Maldonado 242 0.5× 83 0.3× 198 1.7× 101 1.0× 43 0.4× 20 516

Countries citing papers authored by Woo-Keun Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Woo-Keun Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo-Keun Yoon. 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 Woo-Keun Yoon. The network helps show where Woo-Keun Yoon may publish in the future.

Co-authorship network of co-authors of Woo-Keun Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Woo-Keun Yoon. A scholar is included among the top collaborators of Woo-Keun Yoon 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 Woo-Keun Yoon. Woo-Keun Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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