Hyun‐Soo Kang
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Media Technology top 10%
- Molecular Biology
- Co-authors
- Mohamed MahmoudEui‐Bae JeungByoung‐Ju YunHyun YangInho HwangEui‐Man JungIn‐Chang HwangSung‐Hoon Hong
- Topics
- Advanced Vision and Imaging (35 papers)Advanced Image Processing Techniques (21 papers)Image Enhancement Techniques (18 papers)
- Journals
- Scientific ReportsIEEE AccessSensors
- Partner nations
- South KoreaEgyptMalaysia
In The Last Decade
Hyun‐Soo Kang
58 papers receiving 313 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 227
- Signal Processing 74
- Artificial Intelligence 48
- Media Technology 37
- Molecular Biology 24
Countries citing papers authored by Hyun‐Soo Kang
This map shows the geographic impact of Hyun‐Soo 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 Hyun‐Soo Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun‐Soo Kang more than expected).
Fields of papers citing papers by Hyun‐Soo Kang
This network shows the impact of papers produced by Hyun‐Soo 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 Hyun‐Soo Kang. The network helps show where Hyun‐Soo Kang may publish in the future.
Co-authorship network of co-authors of Hyun‐Soo Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun‐Soo Kang. A scholar is included among the top collaborators of Hyun‐Soo 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 Hyun‐Soo Kang. Hyun‐Soo Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | Enhanced Fractal Coding Method Using Candidate Transformations | 0 |
| 19 | Pattern-based image normalization for RST invariant watermarking | 1 |
| 20 | An Reliable Watermarking Method Using Anti-pole Watermark | 1 |
About Hyun‐Soo Kang
Hyun‐Soo Kang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 74 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (35 papers), Advanced Image Processing Techniques (21 papers) and Image Enhancement Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Signal Processing (74 citations) and Instrumentation (15 citations). Hyun‐Soo Kang has collaborated with scholars based in South Korea, Egypt and Malaysia. Frequent co-authors include Mohamed Mahmoud, Eui‐Bae Jeung, Byoung‐Ju Yun, Hyun Yang, Inho Hwang, Eui‐Man Jung, In‐Chang Hwang, Sung‐Hoon Hong, Sang‐Jo Yoo and Jae‐Won Suh. Their work appears in journals such as Scientific Reports, IEEE Access and Sensors.
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.