Sung‐Ho Bae

2.7k citations
91 papers · 1.5k · h-index 21

Impact in

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

Papers in

Sung‐Ho Bae

74 papers receiving 1.4k citations

Peers

Sung‐Ho Bae
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 880
  • Media Technology 233
  • Signal Processing 190
  • Computer Networks and Communications 177
  • Artificial Intelligence 215
Replace Wei Gao with:
Wei Gao China
Evangelos Dermatas Greece
Sunil Agrawal India
Kah Kay Sung Singapore
Yaqin Zhao China
Pavan Chakraborty India
Anamika Dhillon India
Ram Narayan Yadav India
Chulhee Lee South Korea
Sung‐Ho Bae relative to Wei Gao China Wei Gao's profile →
Citations per field
00.5×6.6×
Wei Gao · 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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010162
2 201685
3 201977
4 201866
5 202065
6 201864
7 202064
8 201361
9 201358
10 201656
11 201554
12 201451
13 201650
14 201947
15 202044
16 201943
17 202025
18 202124
19 202024
20 202122

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 91 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (16 papers), Advanced Image Processing Techniques (15 papers), Advanced Neural Network Applications (13 papers), Image and Signal Denoising Methods (11 papers), Domain Adaptation and Few-Shot Learning (9 papers), Advanced Vision and Imaging (8 papers), Image Processing Techniques and Applications (7 papers) and Color Science and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (880 citations), Media Technology (233 citations), Signal Processing (190 citations), Computer Networks and Communications (177 citations) and Artificial Intelligence (215 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, Sang Chan Park, Wooyoung Jung and Jae-Eon Kim. Their work appears in journals such as IEEE Access, IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, Applied Sciences and Polymers.

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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