Sukhan Lee

5.4k total citations
258 papers, 3.8k citations indexed

About

Sukhan Lee is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Sukhan Lee has authored 258 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 69 papers in Control and Systems Engineering and 64 papers in Aerospace Engineering. Recurrent topics in Sukhan Lee's work include Robotics and Sensor-Based Localization (58 papers), Advanced Vision and Imaging (46 papers) and Robot Manipulation and Learning (41 papers). Sukhan Lee is often cited by papers focused on Robotics and Sensor-Based Localization (58 papers), Advanced Vision and Imaging (46 papers) and Robot Manipulation and Learning (41 papers). Sukhan Lee collaborates with scholars based in South Korea, United States and Hong Kong. Sukhan Lee's co-authors include Connie Suk‐Han Ho, Suk‐Man Tsang, David Wai‐ock Chan, Rhee Man Kil, Kevin Kien Hoa Chung, David W. Chan, Luiz S. Homem de Mello, G.N. Saridis, Yeong Gil Shin and Seongsoo Lee and has published in prestigious journals such as IEEE Transactions on Automatic Control, Proceedings of the IEEE and Developmental Psychology.

In The Last Decade

Sukhan Lee

237 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukhan Lee South Korea 28 1.0k 868 788 542 535 258 3.8k
Javier R. Movellan United States 37 629 0.6× 4.1k 4.7× 478 0.6× 1.5k 2.7× 1.9k 3.6× 127 8.4k
Michael Zyda United States 29 736 0.7× 1.2k 1.4× 470 0.6× 202 0.4× 556 1.0× 152 4.6k
Minoru Asada Japan 36 579 0.6× 1.8k 2.1× 1.5k 1.9× 1.6k 3.0× 2.2k 4.1× 412 6.6k
George Fitzmaurice Canada 46 392 0.4× 3.1k 3.5× 362 0.5× 2.1k 3.9× 500 0.9× 145 6.7k
Francis Quek United States 24 374 0.4× 1.3k 1.6× 204 0.3× 382 0.7× 613 1.1× 174 3.4k
Paul Schrater United States 28 261 0.3× 472 0.5× 106 0.1× 2.0k 3.6× 437 0.8× 102 3.4k
Joseph J. LaViola United States 31 317 0.3× 2.7k 3.1× 556 0.7× 1.5k 2.8× 672 1.3× 211 6.3k
Stan Sclaroff United States 55 391 0.4× 8.6k 10.0× 563 0.7× 469 0.9× 2.3k 4.4× 213 10.6k
Kenneth R. Boff United States 13 417 0.4× 443 0.5× 84 0.1× 2.8k 5.2× 264 0.5× 35 4.5k
Yasuo Kuniyoshi Japan 37 297 0.3× 1.4k 1.7× 2.3k 2.9× 1.4k 2.5× 1.5k 2.8× 318 6.8k

Countries citing papers authored by Sukhan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sukhan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukhan 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 Sukhan Lee. The network helps show where Sukhan Lee may publish in the future.

Co-authorship network of co-authors of Sukhan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sukhan Lee. A scholar is included among the top collaborators of Sukhan 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 Sukhan Lee. Sukhan 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.
Xiong, Wenjie, Liu Ke, Yeongon Cho, et al.. (2025). Accelerating Confidential Recommendation Model Inference With Near-Memory Processing. IEEE Transactions on Dependable and Secure Computing. 22(4). 3580–3586.
2.
Lee, Sukhan, et al.. (2024). The Effect of Training on Localizing HoloLens-Generated 3D Sound Sources. Sensors. 24(11). 3442–3442.
3.
Lee, Sukhan, et al.. (2024). Breast Lesion Detection for Ultrasound Images Using MaskFormer. Sensors. 24(21). 6890–6890. 3 indexed citations
4.
Lee, Sukhan, et al.. (2021). Learning-Based Automation of Robotic Assembly for Smart Manufacturing. Proceedings of the IEEE. 109(4). 423–440. 25 indexed citations
5.
Chung, Kyungmi, et al.. (2013). Empathy between human and robot. Human-Robot Interaction. 151–152. 1 indexed citations
6.
Lee, Sukhan, et al.. (2013). Designing robotic avatars: are user's impression affected by avatar's age?. Human-Robot Interaction. 195–196. 5 indexed citations
7.
Kim, Daesik & Sukhan Lee. (2013). Structured-light-based highly dense and robust 3D reconstruction. Journal of the Optical Society of America A. 30(3). 403–403. 2 indexed citations
8.
Lee, Seongsoo, et al.. (2012). Illumination-Invariant Localization Based on Upward Looking Scenes for Low-Cost Indoor Robots. Advanced Robotics. 26(13). 1443–1469. 6 indexed citations
9.
Lee, Sukhan, Lajos Hanzo, Min Young Chung, Sangwon Lee, & Kwangsu Cho. (2011). Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication. 6 indexed citations
10.
Kim, Daesik, et al.. (2011). A novel laser line detection algorithm for robot application. International Conference on Control, Automation and Systems. 361–365. 10 indexed citations
11.
Lee, Sukhan, et al.. (2011). Accurate estimation of the boundaries of a structured light pattern. Journal of the Optical Society of America A. 28(6). 954–954. 12 indexed citations
12.
Lee, Sukhan, Hanseok Ko, & Hernsoo Hahn. (2009). Multisensor Fusion and Integration for Intelligent Systems: An Edition of the Selected Papers from the IEEE International Conference on Multisensor Fusion .... Springer eBooks.
13.
Lee, Sukhan, et al.. (2008). Recent progress in robotics : viable robotic service to human : an edition of the selected papers from the 13th International Conference on Advanced Robotics. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1 indexed citations
14.
Lee, Seongsoo, Sukhan Lee, & Dong-Sung Kim. (2006). Recursive Unscented Kalman Filtering based SLAM using a Large Number of Noisy Observations. International Journal of Control Automation and Systems. 4(6). 736–747. 7 indexed citations
15.
Ho, Connie Suk‐Han, David W. Chan, Suk‐Man Tsang, Sukhan Lee, & Kevin Kien Hoa Chung. (2006). Word learning deficit among Chinese dyslexic children. Journal of Child Language. 33(1). 145–161. 29 indexed citations
16.
Lee, Sukhan, et al.. (2005). Variable Pulse Mode Driving IR Source Based 3D Robotic Camera. Machine Vision and Applications. 530–533.
17.
Lee, Sukhan, et al.. (1996). Robot skill discovery bases on observed data.. International Conference on Robotics and Automation. 2694–2699. 2 indexed citations
18.
Lee, Sukhan. (1995). A Multi-Resolution Radial Basis Function Network for Self-Organization, Defuzzification, and Inference in Fuzzy Rule-Based Systems. 한국지능시스템학회 학술발표 논문집. 124–140. 1 indexed citations
19.
Lee, Sukhan. (1992). Supervised learning with Gaussian potentials. Prentice-Hall, Inc eBooks. 189–228. 11 indexed citations
20.
Bejczy, Antal K. & Sukhan Lee. (1984). Generalized bilateral control of robot arms. American Control Conference. 21(21). 1883–1892. 2 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.

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