Keuntaek Lee
Impact in
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
-
- Robotic Path Planning Algorithms
- Advanced Neural Network Applications
Papers in
-
- Autonomous Vehicle Technology and Safety 7
-
- Reinforcement Learning in Robotics 6
- Gaussian Processes and Bayesian Inference 2
- Adversarial Robustness in Machine Learning 2
- Anomaly Detection Techniques and Applications 1
- Co-authors
- Evangelos A. Theodorou (11 shared papers)Kamil Saigol (4 shared papers)Yunpeng Pan (3 shared papers)Byron Boots (3 shared papers)Ching-An Cheng (3 shared papers)Xinyan Yan (3 shared papers)David Isele (2 shared papers)Sangjae Bae (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (1 paper)arXiv (Cornell University) (2 papers)2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Keuntaek Lee
11 papers receiving 343 citations
Peers
Comparison fields: 5 of 61
- Automotive Engineering 140
- Computer Vision and Pattern Recognition 153
- Control and Systems Engineering 111
- Artificial Intelligence 145
- Aerospace Engineering 65
Countries citing papers authored by Keuntaek Lee
This map shows the geographic impact of Keuntaek 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 Keuntaek Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keuntaek Lee more than expected).
Fields of papers citing papers by Keuntaek Lee
This network shows the impact of papers produced by Keuntaek 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 Keuntaek Lee. The network helps show where Keuntaek Lee may publish in the future.
Co-authors
The 13 scholars most cited alongside Keuntaek 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 170 | |
| 2 | 2019 | 96 | |
| 3 | 2020 | 29 | |
| 4 | 2022 | 22 | |
| 5 | Agile Off-Road Autonomous Driving Using End-to-End Deep Imitation Learning. | 2017 | 18 |
| 6 | Locally Weighted Regression Pseudo-Rehearsal for Adaptive Model Predictive Control | 2019 | 7 |
| 7 | 2019 | 6 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 0 |
About Keuntaek Lee
Keuntaek Lee is a scholar working on Automotive Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Finance, having authored 12 papers that have together received 357 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (7 papers), Reinforcement Learning in Robotics (6 papers), Advanced Neural Network Applications (3 papers), Gaussian Processes and Bayesian Inference (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Control Systems Optimization (2 papers), Control Systems and Identification (2 papers) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Automotive Engineering (140 citations), Computer Vision and Pattern Recognition (153 citations), Control and Systems Engineering (111 citations), Artificial Intelligence (145 citations) and Aerospace Engineering (65 citations). Keuntaek Lee has collaborated with scholars based in United States and Sweden. Frequent co-authors include Evangelos A. Theodorou, Kamil Saigol, Yunpeng Pan, Byron Boots, Ching-An Cheng, Xinyan Yan, David Isele, Sangjae Bae, Ziyi Wang and Ioannis Exarchos. Their work appears in journals such as IEEE Robotics and Automation Letters, The International Journal of Robotics Research, arXiv (Cornell University) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.