Kwang-Seok Moon
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Aerospace Engineering
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Ki‐Ryong KwonSuk‐Hwan LeeJong‐Nam KimNasim ArshadHanhoon ParkWonhee KimJong-Il ParkDaewon Pak
- Topics
- Advanced Steganography and Watermarking Techniques (14 papers)Chaos-based Image/Signal Encryption (8 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Kwang-Seok Moon
38 papers receiving 271 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 175
- Artificial Intelligence 72
- Aerospace Engineering 50
- Electrical and Electronic Engineering 40
- Control and Systems Engineering 33
Countries citing papers authored by Kwang-Seok Moon
This map shows the geographic impact of Kwang-Seok Moon'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 Kwang-Seok Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang-Seok Moon more than expected).
Fields of papers citing papers by Kwang-Seok Moon
This network shows the impact of papers produced by Kwang-Seok Moon. 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 Kwang-Seok Moon. The network helps show where Kwang-Seok Moon may publish in the future.
Co-authorship network of co-authors of Kwang-Seok Moon
This figure shows the co-authorship network connecting the top 25 collaborators of Kwang-Seok Moon. A scholar is included among the top collaborators of Kwang-Seok Moon 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 Kwang-Seok Moon. Kwang-Seok Moon 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 | 6 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 0 | |
| 11 | 3 | |
| 12 | Contents Based Partial Encryption of GIS Vector Map | 3 |
| 13 | 10 | |
| 14 | 5 | |
| 15 | Effective Vector Map Image Compression Technique for Secure Encryption and Transmission | 1 |
| 16 | 9 | |
| 17 | A New Watermarking Scheme in the Fingerprinting Protocol Using Analysis of the DCT Coefficient Distribution | 1 |
| 18 | 7 | |
| 19 | Digital Watermarking Technology in Architectural Design Drawing | 1 |
| 20 | An Improved Fast Fractal Image Decoding by recomposition of the Decoding Order | 0 |
About Kwang-Seok Moon
Kwang-Seok Moon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 46 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (14 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (175 citations), Signal Processing (32 citations) and Biophysics (13 citations). Kwang-Seok Moon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Ki‐Ryong Kwon, Suk‐Hwan Lee, Jong‐Nam Kim, Nasim Arshad, Hanhoon Park, Wonhee Kim, Jong-Il Park, Daewon Pak, Francis J. Kub and Marco Ancona. Their work appears in journals such as Sensors, Neural Networks and IEICE Transactions on Information and Systems.
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.