Suk‐Ju Kang

2.6k total citations
154 papers, 1.6k citations indexed

About

Suk‐Ju Kang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Suk‐Ju Kang has authored 154 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Computer Vision and Pattern Recognition, 29 papers in Media Technology and 19 papers in Artificial Intelligence. Recurrent topics in Suk‐Ju Kang's work include Advanced Vision and Imaging (51 papers), Advanced Image Processing Techniques (37 papers) and Image Enhancement Techniques (31 papers). Suk‐Ju Kang is often cited by papers focused on Advanced Vision and Imaging (51 papers), Advanced Image Processing Techniques (37 papers) and Image Enhancement Techniques (31 papers). Suk‐Ju Kang collaborates with scholars based in South Korea and United States. Suk‐Ju Kang's co-authors include Young Hwan Kim, Sung In Cho, Siyeong Lee, Young Kim, Jung-Woo Chang, Gwon Hwan An, Sungjoo Yoo, Kyoung-Rok Cho, Kyeongbo Kong and Sung‐Kyu Lee and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.

In The Last Decade

Suk‐Ju Kang

140 papers receiving 1.6k citations

Peers

Suk‐Ju Kang
Comparison fields: 5 of 110
  • Computer Vision and Pattern Recognition 1.3k
  • Media Technology 255
  • Electrical and Electronic Engineering 210
  • Signal Processing 202
  • Atomic and Molecular Physics, and Optics 167
Replace Jing-Ming Guo with:
Jing-Ming Guo Taiwan
Shanq-Jang Ruan Taiwan
Yasuhiro Mukaigawa Japan
Besma Abidi United States
Wen-Chung Kao Taiwan
Joon‐Young Lee South Korea
Baoyuan Wang China
Xinyu Gong China
Jing-Ming Guo Taiwan View profile →
Citations per field, relative to Suk‐Ju Kang
Suk‐Ju Kang · 1×
Citations per year, relative to Suk‐Ju Kang
Suk‐Ju Kang · 1×

Countries citing papers authored by Suk‐Ju Kang

Since Specialization
Citations

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

Fields of papers citing papers by Suk‐Ju Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suk‐Ju Kang. 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 Suk‐Ju Kang. The network helps show where Suk‐Ju Kang may publish in the future.

Co-authorship network of co-authors of Suk‐Ju Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Suk‐Ju Kang. A scholar is included among the top collaborators of Suk‐Ju Kang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suk‐Ju Kang. Suk‐Ju Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 0
5 3
6 2
7 1
8 6
9 7
10 6
11 4
12 4
13 2
14 9
15 3
16 80
17 9
18 31
19 10
20 5

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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