Chang‐Hwan Son

773 citations
72 papers · 522 · h-index 12

Impact in

Papers in

Chang‐Hwan Son

59 papers receiving 469 citations

Peers

Chang‐Hwan Son
Comparison fields: 5 of 65
  • Media Technology 190
  • Computer Vision and Pattern Recognition 377
  • Computer Graphics and Computer-Aided Design 20
  • Atomic and Molecular Physics, and Optics 145
  • Industrial and Manufacturing Engineering 28
Replace David Connah with:
David Connah United Kingdom
H.M.G. Stokman Netherlands
Antony Lam Japan
Michela Lecca Italy
Lydia Meesters Netherlands
Damien Muselet France
Steven Le Moan Norway
Di-Yuan Tzeng United States
R.E.N. Horne United Kingdom
Yanlin Qian Finland
Chang‐Hwan Son relative to David Connah United Kingdom David Connah's profile →
Citations per field
00.5×3.3×
David Connah · 1×
Citations per year

Countries citing papers authored by Chang‐Hwan Son

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Hwan Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang‐Hwan Son. 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 Chang‐Hwan Son. The network helps show where Chang‐Hwan Son may publish in the future.

Co-authors

The 22 scholars most cited alongside Chang‐Hwan Son, 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 Chang‐Hwan Son Line = papers co-authored together Chang‐Hwan Son links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201747
2 202039
3 202039
4 201429
5 201627
6 201622
7 201722
8 200820
9 200720
10 201214
11 202014
12 201411
13 201311
14 201510
15 201710
16 20129
17 20209
18 20218
19 20128
20 20138

About Chang‐Hwan Son

Chang‐Hwan Son is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Plant Science and Industrial and Manufacturing Engineering, having authored 72 papers that have together received 522 indexed citations. Recurring topics across this work include Image Enhancement Techniques (34 papers), Color Science and Applications (23 papers), Advanced Image Fusion Techniques (16 papers), Image and Signal Denoising Methods (15 papers), Smart Agriculture and AI (11 papers), Advanced Image Processing Techniques (9 papers), Industrial Vision Systems and Defect Detection (6 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Media Technology (190 citations), Computer Vision and Pattern Recognition (377 citations), Computer Graphics and Computer-Aided Design (20 citations), Atomic and Molecular Physics, and Optics (145 citations) and Industrial and Manufacturing Engineering (28 citations). Chang‐Hwan Son has collaborated with scholars based in South Korea, Canada and Germany. Frequent co-authors include Xiao–Ping Zhang, Hyunseung Choo, Yeong‐Ho Ha, Hyung‐Min Park, Dong Hyuk Lee, Cheol‐Hee Lee, Jong-Man Kim, Henrique Fernandes, Hyeonjoon Moon and Marcelo Keese Albertini. Their work appears in journals such as Journal of Imaging Science and Technology, Applied Sciences, Signal Processing, IEEE Transactions on Image Processing and IEEE Transactions on Consumer Electronics.

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