Yeong‐Ho Ha

729 citations
121 papers · 517 · h-index 12

Impact in

Papers in

Yeong‐Ho Ha

102 papers receiving 453 citations

Peers

Yeong‐Ho Ha
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 429
  • Media Technology 112
  • Computer Graphics and Computer-Aided Design 28
  • Atomic and Molecular Physics, and Optics 208
  • Signal Processing 29
Replace Chang‐Hwan Son with:
Chang‐Hwan Son South Korea
Jeffrey M. DiCarlo United States
Michael Stokes United States
David Connah United Kingdom
Jiangtao Kuang United States
Henry R. Kang United States
Ahmet Oğuz Akyüz Türkiye
A. Vorozcovs Canada
Alan Chalmers United Kingdom
Steven D. Hordley United Kingdom
Yeong‐Ho Ha relative to Chang‐Hwan Son South Korea Chang‐Hwan Son's profile →
Citations per field
00.5×3.2×
Chang‐Hwan Son · 1×
Citations per year

Countries citing papers authored by Yeong‐Ho Ha

Since Specialization
Citations

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

Fields of papers citing papers by Yeong‐Ho Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeong‐Ho Ha. 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 Yeong‐Ho Ha. The network helps show where Yeong‐Ho Ha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200129
2 199726
3 201022
4 201021
5 200720
6 200820
7 200918
8 200015
9 199813
10 201113
11 201311
12 201111
13 199711
14 199510
15 19989
16 20019
17 20148
18 20068
19 19988
20 20167

About Yeong‐Ho Ha

Yeong‐Ho Ha is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Social Psychology and Industrial and Manufacturing Engineering, having authored 121 papers that have together received 517 indexed citations. Recurring topics across this work include Color Science and Applications (80 papers), Image Enhancement Techniques (75 papers), Advanced Vision and Imaging (31 papers), Color perception and design (25 papers), Advanced Image Fusion Techniques (15 papers), Industrial Vision Systems and Defect Detection (14 papers), Image Processing Techniques and Applications (12 papers) and Image and Signal Denoising Methods (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (429 citations), Media Technology (112 citations), Computer Graphics and Computer-Aided Design (28 citations), Atomic and Molecular Physics, and Optics (208 citations) and Signal Processing (29 citations). Yeong‐Ho Ha has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chang‐Hwan Son, Dae-Chul Kim, Cheol‐Hee Lee, Yong‐Suk Kim, Jun-Jae Lee, Massimo Fierro, Yun-Tae Kim, Eung-Joo Lee, Jong-Man Kim and Young‐Sik Park. Their work appears in journals such as Journal of Imaging Science and Technology, IEEE Transactions on Consumer Electronics, Pattern Recognition, Displays and IEEE Transactions on Industrial 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