Sang‐Uk Lee

1.5k total citations
61 papers, 888 citations indexed

About

Sang‐Uk Lee is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Sang‐Uk Lee has authored 61 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Graphics and Computer-Aided Design and 10 papers in Signal Processing. Recurrent topics in Sang‐Uk Lee's work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (11 papers) and Video Coding and Compression Technologies (10 papers). Sang‐Uk Lee is often cited by papers focused on Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (11 papers) and Video Coding and Compression Technologies (10 papers). Sang‐Uk Lee collaborates with scholars based in South Korea, United States and Hong Kong. Sang‐Uk Lee's co-authors include Chang‐Su Kim, Jong‐Ik Park, In‐Hwan Oh, Jong Wook Park, Seo Young Jeong, Kyung Hyun Min, Sang Cheon Lee, Ahn Na Koo, Hong Jae Lee and Sun Hang Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Sang‐Uk Lee

53 papers receiving 855 citations

Peers

Sang‐Uk Lee
Comparison fields: 5 of 126
  • Computer Vision and Pattern Recognition 279
  • Clinical Psychology 169
  • Biomaterials 140
  • Biomedical Engineering 131
  • Signal Processing 117
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Wen-Li Lee Taiwan View profile →
Citations per field, relative to Sang‐Uk Lee
Sang‐Uk Lee · 1×
Citations per year, relative to Sang‐Uk Lee
Sang‐Uk Lee · 1×

Countries citing papers authored by Sang‐Uk Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Uk Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang‐Uk Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Uk Lee. A scholar is included among the top collaborators of Sang‐Uk 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 Sang‐Uk Lee. Sang‐Uk 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
# Work Indexed citations
1 3
2 1
3 1
4 8
5 1
6 9
7 77
8 46
9 13
10 30
11
The Korea National Suicide Survey (KNSS): rationale and design
11
12 13
13 168
14 8
15 4
16
A Case of Complete Agenesis of the Dorsal Pancreas
0
17 17
18 1
19 9
20
A Study on the Basic Architecture of an Agent System for Agent-based System Integration
1

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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