Du‐Sik Park

1.2k citations
69 papers · 819 indexed · h-index 15

Impact in

Papers in

Du‐Sik Park

59 papers receiving 778 citations

Peers

Du‐Sik Park
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 543
  • Human-Computer Interaction 124
  • Media Technology 193
  • Signal Processing 219
  • Computer Graphics and Computer-Aided Design 29
Replace Martin Řeřábek with:
Martin Řeřábek Switzerland
Marcus Barkowsky France
Filippo Speranza Canada
Ana Serrano Spain
Siegmund Pastoor Germany
Tommer Leyvand Israel
Norishige Fukushima Japan
Jeffrey S. Perry United States
Yong Ju Jung South Korea
Erhan Ekmekcioǧlu United Kingdom
Du‐Sik Park relative to Martin Řeřábek Switzerland Martin Řeřábek's profile →
Citations per field
00.5×1.5×1.8×
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-authorship network

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
#Work
1 20160
2 20153
3 20130
4 20139
5 20130
6
Depth intra skip prediction for 3D video coding
20125
7 20125
8 20121
9 20123
10 20111
11 20110
12 20104
13 20100
14 200943
15 200816
16 200717
17 200713
18 20062
19
Visual Bit Resolution Enhancement Algorithm for Digital TVs
20061
20 199610

About Du‐Sik Park

Du‐Sik Park is a scholar working on Media Technology, Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 69 papers that have together received 819 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (29 papers), Advanced Optical Imaging Technologies (20 papers), Video Coding and Compression Technologies (20 papers), Color Science and Applications (14 papers), Advanced Image Processing Techniques (12 papers), Image Enhancement Techniques (10 papers), Color perception and design (10 papers) and Image and Video Quality Assessment (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (543 citations), Human-Computer Interaction (124 citations), Media Technology (193 citations), Signal Processing (219 citations) and Computer Graphics and Computer-Aided Design (29 citations). Du‐Sik Park has collaborated with scholars based in South Korea, Hungary and China. Frequent co-authors include ByungIn Yoo, Heechul Jung, Junmo Kim, Junho Yim, 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, IEEE Transactions on Circuits and Systems for Video Technology, Journal of the Society for Information Display, Optics Express and IEEE Journal of Selected Topics in Signal Processing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026