Sung‐Ho Bae

2.4k citations
75 papers · 1.2k · h-index 19

Impact in

    • Image and Video Quality Assessment
    • Advanced Image Processing Techniques
    • Image Enhancement Techniques
    • Visual Attention and Saliency Detection
    • Image and Signal Denoising Methods
    • Advanced Vision and Imaging
    • Advanced Image Fusion Techniques

Papers in

Sung‐Ho Bae

61 papers receiving 1.1k citations

Peers

Sung‐Ho Bae
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 762
  • Media Technology 176
  • Signal Processing 181
  • Computer Networks and Communications 152
  • Artificial Intelligence 160
Replace Shuyuan Zhu with:
Shuyuan Zhu China
Raja Bala United States
Ghada M. El‐Banby Egypt
Anurag Mittal India
R. Sukanesh India
Chengjun Liu United States
Andrew Howard United States
Xinge You China
Nicolas Thome France
C.N. Canagarajah United Kingdom
Sung‐Ho Bae relative to Shuyuan Zhu China Shuyuan Zhu's profile →
Citations per field
00.5×3.2×
Shuyuan Zhu · 1×
Citations per year

Countries citing papers authored by Sung‐Ho Bae

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Ho Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010141
2 201680
3 201866
4 201860
5 201358
6 201356
7 202055
8 201653
9 201551
10 201649
11 201448
12 201946
13 201942
14 202041
15 202025
16 202022
17 202121
18 202118
19
A NEW DCT-BASED JND MODEL OF MONOCHROME IMAGES FOR CONTRAST MASKING EFFECTS WITH TEXTURE COMPLEXITY AND FREQUENCY
201318
20 202117

About Sung‐Ho Bae

Sung‐Ho Bae is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Signal Processing and Atomic and Molecular Physics, and Optics, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (16 papers), Advanced Image Processing Techniques (14 papers), Advanced Neural Network Applications (12 papers), Image and Signal Denoising Methods (11 papers), Domain Adaptation and Few-Shot Learning (8 papers), Advanced Vision and Imaging (7 papers), Color Science and Applications (7 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (762 citations), Media Technology (176 citations), Signal Processing (181 citations), Computer Networks and Communications (152 citations) and Artificial Intelligence (160 citations). Sung‐Ho Bae has collaborated with scholars based in South Korea, Bangladesh and United Arab Emirates. Frequent co-authors include Munchurl Kim, Jiyoung Jung, Myung Jin Kim, Minkeun Ha, Daeyoung Kim, Muhammad Awais, Sungmin Hong, Wooyoung Jung, Jae-Eon Kim and Sang Chan Park. Their work appears in journals such as IEEE Access, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, Information Sciences and 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.

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