In‐Kwon Lee

2.2k citations
119 papers · 1.6k · h-index 20

Impact in

Papers in

In‐Kwon Lee

112 papers receiving 1.6k citations

Peers

In‐Kwon Lee
Comparison fields: 5 of 127
  • Computer Graphics and Computer-Aided Design 387
  • Human-Computer Interaction 258
  • Computer Vision and Pattern Recognition 829
  • Computational Mechanics 538
  • Acoustics and Ultrasonics 13
Replace James Tompkin with:
James Tompkin United States
Lvmin Zhang Hong Kong
Anyi Rao Hong Kong
Jiaoying Shi China
George Baciu Hong Kong
Sudhir P. Mudur Canada
Philip M. Hubbard United States
David F. McAllister United States
Nataniel Ruiz United States
In‐Kwon Lee relative to James Tompkin United States James Tompkin's profile →
Citations per field
00.5×6.5×
James Tompkin · 1×
Citations per year

Countries citing papers authored by In‐Kwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by In‐Kwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside In‐Kwon 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 In‐Kwon Lee Line = papers co-authored together In‐Kwon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000233
2 1997114
3 199684
4 199882
5 199966
6 201865
7 201960
8 201958
9 201556
10 201448
11 201543
12 202042
13 201039
14 200533
15 201026
16 200222
17 200822
18 200320
19 202320
20 202119

About In‐Kwon Lee

In‐Kwon Lee is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Control and Systems Engineering and Signal Processing, having authored 119 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (23 papers), Computer Graphics and Visualization Techniques (22 papers), Video Analysis and Summarization (20 papers), Human Motion and Animation (18 papers), Music and Audio Processing (15 papers), Advanced Numerical Analysis Techniques (14 papers), Music Technology and Sound Studies (13 papers) and Virtual Reality Applications and Impacts (13 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (387 citations), Human-Computer Interaction (258 citations), Computer Vision and Pattern Recognition (829 citations), Computational Mechanics (538 citations) and Acoustics and Ultrasonics (13 citations). In‐Kwon Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Gershon Elber, Wei Li, Myung-Soo Kim, Myung Soo Kim, Xiaowei Li, Chengqing Li, Sun‐Young Lee, Hyun‐Chul Lee, Seon Joo Kim and Henry Kang. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Graphical Models, Optics Communications and Multimedia Tools and Applications.

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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