Du‐Sik Park

1.2k citations
69 papers · 825 · h-index 15

Impact in

Papers in

Du‐Sik Park

59 papers receiving 784 citations

Peers

Du‐Sik Park
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 544
  • Human-Computer Interaction 127
  • Media Technology 196
  • Signal Processing 219
  • Computer Graphics and Computer-Aided Design 30
Replace Martin Řeřábek with:
Martin Řeřábek Switzerland
Marcus Barkowsky France
Filippo Speranza Canada
Siegmund Pastoor Germany
Tommer Leyvand Israel
Norishige Fukushima Japan
Jeffrey S. Perry United States
Yong Ju Jung South Korea
Masaki Emoto Japan
Erhan Ekmekcioǧlu United Kingdom
Du‐Sik Park relative to Martin Řeřábek Switzerland Martin Řeřábek's profile →
Citations per field
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Martin Řeřábek · 1×
Citations per year

Countries citing papers authored by Du‐Sik Park

Since Specialization
Citations

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

Fields of papers citing papers by Du‐Sik Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Du‐Sik Park. 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 Du‐Sik Park. The network helps show where Du‐Sik Park may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015194
2 201380
3 201173
4 201548
5 200943
6 201141
7 201041
8 200831
9 201019
10 200618
11 200717
12 200816
13 200316
14 201015
15 201014
16 201313
17 200713
18 200613
19 199610
20 20139

About Du‐Sik Park

Du‐Sik Park is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Atomic and Molecular Physics, and Optics and Human-Computer Interaction, having authored 69 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (29 papers), Video Coding and Compression Technologies (20 papers), Advanced Optical Imaging Technologies (20 papers), Color Science and Applications (14 papers), Advanced Image Processing Techniques (12 papers), Color perception and design (10 papers), Image Enhancement Techniques (10 papers) and Virtual Reality Applications and Impacts (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (544 citations), Human-Computer Interaction (127 citations), Media Technology (196 citations), Signal Processing (219 citations) and Computer Graphics and Computer-Aided Design (30 citations). Du‐Sik Park has collaborated with scholars based in South Korea, Hungary and United Kingdom. Frequent co-authors include ByungIn Yoo, Junmo Kim, Junho Yim, Heechul Jung, Byung Tae Oh, Juyong Park, Dongkyung Nam, Chang-Yeong Kim, Youngshin Kwak and Jinho Lee. Their work appears in journals such as Color Research & Application, Journal of the Society for Information Display, IEEE Transactions on Circuits and Systems for Video Technology, Journal of Information Display and IEEE Journal of Solid-State Circuits.

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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