Do-Kyoung Kwon

820 citations
25 papers · 617 · h-index 9

Impact in

    • Image and Video Quality Assessment
    • Advanced Vision and Imaging
    • Advanced Data Compression Techniques
    • Visual Attention and Saliency Detection
    • Advanced Image Processing Techniques
    • Advanced Image Fusion Techniques

Papers in

Do-Kyoung Kwon

24 papers receiving 607 citations

Peers

Do-Kyoung Kwon
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 586
  • Media Technology 216
  • Signal Processing 256
  • Cognitive Neuroscience 80
  • Computer Graphics and Computer-Aided Design 5
Replace S. Yao with:
S. Yao Singapore
Joe Yuchieh Lin United States
Sudeng Hu China
Romuald Pépion France
Anil Aksay Türkiye
Pradip Paudyal Italy
Vlad Hosu Germany
C.J. van den Branden Lambrecht Switzerland
Hadi Hadizadeh Canada
Sergio Goma United States
Do-Kyoung Kwon relative to S. Yao Singapore S. Yao's profile →
Citations per field
00.5×3.6×
S. Yao · 1×
Citations per year

Countries citing papers authored by Do-Kyoung Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Do-Kyoung Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do-Kyoung Kwon. 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 Do-Kyoung Kwon. The network helps show where Do-Kyoung Kwon may publish in the future.

Co-authors

The 14 scholars most cited alongside Do-Kyoung Kwon, 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 Do-Kyoung Kwon Line = papers co-authored together Do-Kyoung Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013292
2 2007162
3 201442
4 201216
5 201313
6 200912
7 201710
8 20129
9 20138
10 20128
11 20137
12 20077
13 20066
14 20134
15 20094
16 20053
17 20073
18 20062
19 20062
20 20112

About Do-Kyoung Kwon

Do-Kyoung Kwon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Media Technology and Electrical and Electronic Engineering, having authored 25 papers that have together received 617 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (20 papers), Image and Video Quality Assessment (16 papers), Advanced Data Compression Techniques (16 papers), Advanced Vision and Imaging (6 papers), Visual perception and processing mechanisms (3 papers), Advanced Wireless Network Optimization (2 papers), Advanced Optical Imaging Technologies (2 papers) and Advanced MIMO Systems Optimization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (586 citations), Media Technology (216 citations), Signal Processing (256 citations), Cognitive Neuroscience (80 citations) and Computer Graphics and Computer-Aided Design (5 citations). Do-Kyoung Kwon has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Alan C. Bovik, C.‐C. Jay Kuo, Lawrence K. Cormack, Che-Chun Su, Ming-Jun Chen, Mei-Yin Shen, Madhukar Budagavi, Mingjun Chen, Jiaying Liu and Yong-Jin Cho. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing Image Communication, Journal of Digital Information Management and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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