Dongheui Lee
Impact in
- Control and Systems Engineering top 0.5%
- Robot Manipulation and Learning
- Human-Computer Interaction top 1%
Papers in
-
- Robot Manipulation and Learning 80
- Robotic Mechanisms and Dynamics 19
-
- Human Pose and Action Recognition 44
- Robotic Path Planning Algorithms 13
- Co-authors
- Christian Ott (20 shared papers)Shile Li (9 shared papers)Yoshihiko Nakamura (16 shared papers)Matteo Saveriano (26 shared papers)Sandra Hirche (10 shared papers)Dana Kulić (4 shared papers)José Ramón Medina (5 shared papers)Junichi Ishikawa (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (15 papers)Autonomous Robots (7 papers)The International Journal of Robotics Research (3 papers)Pattern Recognition Letters (2 papers)IEEE Robotics & Automation Magazine (2 papers)
- Partner nations
- GermanyAustriaSouth Korea
In The Last Decade
Dongheui Lee
147 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 87
- Control and Systems Engineering 1.5k
- Human-Computer Interaction 288
- Computer Vision and Pattern Recognition 1.0k
- Biomedical Engineering 752
- Aerospace Engineering 386
Countries citing papers authored by Dongheui Lee
This map shows the geographic impact of Dongheui Lee'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 Dongheui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongheui Lee more than expected).
Fields of papers citing papers by Dongheui Lee
This network shows the impact of papers produced by Dongheui Lee. 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 Dongheui Lee. The network helps show where Dongheui Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongheui Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 203 | |
| 2 | 2011 | 155 | |
| 3 | 2011 | 134 | |
| 4 | 2008 | 94 | |
| 5 | 2012 | 70 | |
| 6 | 2011 | 65 | |
| 7 | 2012 | 61 | |
| 8 | 2010 | 61 | |
| 9 | 2021 | 58 | |
| 10 | 2019 | 58 | |
| 11 | 2019 | 56 | |
| 12 | 2017 | 54 | |
| 13 | 2018 | 53 | |
| 14 | 2010 | 50 | |
| 15 | 2017 | 41 | |
| 16 | 2021 | 36 | |
| 17 | 2022 | 36 | |
| 18 | 2015 | 34 | |
| 19 | 2019 | 34 | |
| 20 | 2011 | 33 |
About Dongheui Lee
Dongheui Lee is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Mechanical Engineering and Artificial Intelligence, having authored 158 papers that have together received 2.6k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (80 papers), Human Pose and Action Recognition (44 papers), Robotic Locomotion and Control (20 papers), Robotic Mechanisms and Dynamics (19 papers), Robotics and Sensor-Based Localization (17 papers), Teleoperation and Haptic Systems (16 papers), Robotic Path Planning Algorithms (13 papers) and Soft Robotics and Applications (13 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Human-Computer Interaction (288 citations), Computer Vision and Pattern Recognition (1.0k citations), Biomedical Engineering (752 citations) and Aerospace Engineering (386 citations). Dongheui Lee has collaborated with scholars based in Germany, Austria and South Korea. Frequent co-authors include Christian Ott, Shile Li, Yoshihiko Nakamura, Matteo Saveriano, Sandra Hirche, Dana Kulić, José Ramón Medina, Junichi Ishikawa, Kai Hu and Daniel Cremers. Their work appears in journals such as IEEE Robotics and Automation Letters, Autonomous Robots, The International Journal of Robotics Research, Pattern Recognition Letters 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.