Sung‐Hee Lee

4.0k citations
149 papers · 2.7k · h-index 26

Impact in

Papers in

Sung‐Hee Lee

131 papers receiving 2.5k citations

Peers

Sung‐Hee Lee
Comparison fields: 5 of 157
  • Computer Vision and Pattern Recognition 1.1k
  • Computer Graphics and Computer-Aided Design 121
  • Control and Systems Engineering 762
  • Human-Computer Interaction 158
  • Media Technology 217
Replace Ronan Boulic with:
Ronan Boulic Switzerland
Prem Kalra India
Andrew Liu United States
Darren Cosker United Kingdom
Joseph K. Kearney United States
Xenophon Zabulis Greece
Jianjun Zhang China
Lap-Fai Yu United States
Bing‐Yu Chen Taiwan
Zhiyong Wang China
Sung‐Hee Lee relative to Ronan Boulic Switzerland Ronan Boulic's profile →
Citations per field
00.5×4.7×
Ronan Boulic · 1×
Citations per year

Countries citing papers authored by Sung‐Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sung‐Hee Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sung‐Hee Lee Line = papers co-authored together Sung‐Hee Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013293
2 2000146
3 1999139
4 2009131
5 2009130
6 1998130
7 2012117
8 2021112
9 200688
10 200983
11 200782
12 201774
13 201069
14 200360
15 200357
16 200346
17 201442
18 202038
19 202234
20 200233

About Sung‐Hee Lee

Sung‐Hee Lee is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics, Human-Computer Interaction and Biomedical Engineering, having authored 149 papers that have together received 2.7k indexed citations. Recurring topics across this work include Human Motion and Animation (38 papers), Human Pose and Action Recognition (32 papers), Video Analysis and Summarization (17 papers), 3D Shape Modeling and Analysis (17 papers), Advanced Vision and Imaging (17 papers), Computer Graphics and Visualization Techniques (11 papers), Robotic Locomotion and Control (9 papers) and Virtual Reality Applications and Impacts (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Computer Graphics and Computer-Aided Design (121 citations), Control and Systems Engineering (762 citations), Human-Computer Interaction (158 citations) and Media Technology (217 citations). Sung‐Hee Lee has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Ambarish Goswami, Demetri Terzopoulos, David E. Orin, Sung-Jea Ko, Richard Valliant, Eftychios Sifakis, Sung-Jea Ko, Seungwon Jeon, Rae‐Hong Park and GwangPyo Ko. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Consumer Electronics and Autonomous Robots.

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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