Dongheui Lee

4.2k total citations
158 papers, 2.6k citations indexed

About

Dongheui Lee is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Dongheui Lee has authored 158 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Control and Systems Engineering, 67 papers in Computer Vision and Pattern Recognition and 45 papers in Biomedical Engineering. Recurrent topics in Dongheui Lee's work include Robot Manipulation and Learning (80 papers), Human Pose and Action Recognition (44 papers) and Robotic Locomotion and Control (20 papers). Dongheui Lee is often cited by papers focused on Robot Manipulation and Learning (80 papers), Human Pose and Action Recognition (44 papers) and Robotic Locomotion and Control (20 papers). Dongheui Lee collaborates with scholars based in Germany, Austria and South Korea. Dongheui Lee's 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 and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Dongheui Lee

147 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dongheui Lee Germany 27 1.5k 1.0k 752 488 395 158 2.6k
Dmitry Berenson United States 26 2.3k 1.5× 1.6k 1.6× 972 1.3× 570 1.2× 542 1.4× 82 3.4k
Roderic A. Grupen United States 26 1.4k 0.9× 788 0.8× 659 0.9× 809 1.7× 315 0.8× 140 2.4k
Jeannette Bohg United States 25 1.2k 0.8× 843 0.8× 542 0.7× 526 1.1× 220 0.6× 83 2.1k
Nikolaus Vahrenkamp Germany 22 1.3k 0.8× 785 0.8× 792 1.1× 208 0.4× 230 0.6× 48 1.8k
Brett Browning United States 18 1.5k 1.0× 879 0.9× 395 0.5× 1.3k 2.6× 319 0.8× 53 2.8k
Michael Gienger Germany 29 1.5k 1.0× 561 0.6× 1.1k 1.5× 535 1.1× 248 0.6× 101 2.3k
Oliver Kroemer United States 25 1.5k 1.0× 483 0.5× 883 1.2× 828 1.7× 289 0.7× 81 2.3k
Sachin Chitta United States 29 2.3k 1.5× 1.8k 1.8× 1.1k 1.5× 688 1.4× 728 1.8× 59 3.7k
Mrinal Kalakrishnan United States 23 1.8k 1.2× 962 0.9× 1.2k 1.6× 852 1.7× 353 0.9× 38 2.9k
Nathan Ratliff United States 20 1.4k 0.9× 1.6k 1.6× 465 0.6× 836 1.7× 215 0.5× 42 2.7k

Countries citing papers authored by Dongheui Lee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dongheui Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dongheui Lee. A scholar is included among the top collaborators of Dongheui Lee 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 Dongheui Lee. Dongheui Lee 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.
Lee, Dongheui, et al.. (2025). Robot Behavior Generation for Social Human-Robot Interaction. International Journal of Social Robotics. 17(12). 3211–3230.
2.
Lee, Dongheui, et al.. (2025). Ultimate Boundedness and Output Convergence of Prioritized Output Tracking Control Under Nonsmooth and Imperfect Feedback Linearization. IEEE Transactions on Automatic Control. 70(8). 5515–5522.
3.
Lee, Dongheui, et al.. (2025). I-CTRL: Imitation to Control Humanoid Robots Through Bounded Residual Reinforcement Learning. IEEE Robotics & Automation Magazine. 32(1). 59–67. 1 indexed citations
4.
Lee, Dongheui, et al.. (2024). Does vibrotactile biofeedback for postural control interfere with cognitive processes?. Journal of NeuroEngineering and Rehabilitation. 21(1). 184–184. 1 indexed citations
5.
Lee, Dongheui, et al.. (2024). A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5261–5269. 5 indexed citations
6.
Arduini, Robert F., et al.. (2024). Learning From Demonstration of Robot Motions And Stiffness Behaviors For Surgical Blunt Dissection. elib (German Aerospace Center). 1491–1496. 1 indexed citations
7.
Reisch, Raven T., et al.. (2023). Spatial Annotation of Time Series for Data Driven Quality Assurance in Additive Manufacturing. Procedia CIRP. 118. 753–758.
8.
Lee, Dongheui, et al.. (2023). Fusing Visual Appearance and Geometry for Multi-Modality 6DoF Object Tracking. elib (German Aerospace Center). 1170–1177. 6 indexed citations
9.
Huang, Dan, et al.. (2023). Estimation of 6D Pose of Objects Based on a Variant Adversarial Autoencoder. Neural Processing Letters. 55(7). 9581–9596. 1 indexed citations
10.
Lee, Dongheui, et al.. (2023). A Shared Control Approach Based on First-Order Dynamical Systems and Closed-Loop Variable Stiffness Control. Journal of Intelligent & Robotic Systems. 109(4). 1 indexed citations
11.
Liebl, Johanna, et al.. (2023). Online task segmentation by merging symbolic and data-driven skill recognition during kinesthetic teaching. Robotics and Autonomous Systems. 162. 104367–104367. 4 indexed citations
12.
Ma, Shuo, et al.. (2022). Robust Human Motion Forecasting using Transformer-based Model. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 10674–10680. 4 indexed citations
13.
Reisch, Raven T., et al.. (2022). Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human–robot collaboration scenario. Frontiers in Robotics and AI. 9. 943261–943261. 5 indexed citations
14.
Agostini, Alejandro, et al.. (2021). Inverse reinforcement learning for dexterous hand manipulation. elib (German Aerospace Center). 1–7. 5 indexed citations
15.
Johannsen, L., et al.. (2020). Robotic Light Touch Assists Human Balance Control During Maximum Forward Reaching. Human Factors The Journal of the Human Factors and Ergonomics Society. 64(3). 514–526. 1 indexed citations
16.
Lutz, Benjamin, et al.. (2020). A human-cyber-physical system approach to lean automation using an industrie 4.0 reference architecture. Procedia Manufacturing. 51. 1082–1090. 19 indexed citations
17.
Saveriano, Matteo, et al.. (2017). Data-efficient control policy search using residual dynamics learning. elib (German Aerospace Center). 4709–4715. 23 indexed citations
18.
Lee, Dongheui & Christian Ott. (2011). Incremental kinesthetic teaching of motion primitives using the motion refinement tube. Autonomous Robots. 31(2-3). 115–131. 134 indexed citations
19.
Lee, Dongheui, et al.. (2003). Experimental Research of Map Building and Localization at Human Co-existing Real Environments. 제어로봇시스템학회 국제학술대회 논문집. 1184–1189. 3 indexed citations
20.
Lee, Dongheui, et al.. (2002). Probabilistic Localization of the Service Robot by Map Matching Algorithm. 제어로봇시스템학회 국제학술대회 논문집. 1667–1672. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dmitry Berenson Breakdown of academic impact, for papers by Roderic A. Grupen Breakdown of academic impact, for papers by Jeannette Bohg Breakdown of academic impact, for papers by Nikolaus Vahrenkamp Breakdown of academic impact, for papers by Brett Browning Breakdown of academic impact, for papers by Michael Gienger Breakdown of academic impact, for papers by Oliver Kroemer Breakdown of academic impact, for papers by Sachin Chitta Breakdown of academic impact, for papers by Mrinal Kalakrishnan Breakdown of academic impact, for papers by Nathan Ratliff
Rankless by CCL
2026