Daesung Moon
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
- Biometric Identification and Security
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- Network Security and Intrusion Detection
Papers in
-
- Biometric Identification and Security 24
- Advanced Malware Detection Techniques 10
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- User Authentication and Security Systems 21
- Information and Cyber Security 6
- Co-authors
- Jong Hyuk ParkIkkyun KimSung Bum PanYongwha ChungSeo Yeon MoonPradip Kumar SharmaKiyoung MoonSaurabh Singh
- Journals
- ETRI Journal (4 papers)Symmetry (2 papers)Applied Sciences (2 papers)IEEE Transactions on Consumer Electronics (1 paper)Electronics (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Daesung Moon
53 papers receiving 598 citations
Peers
Comparison fields: 5 of 76
- Signal Processing 389
- Computer Networks and Communications 345
- Information Systems 281
- Computer Vision and Pattern Recognition 168
- Artificial Intelligence 177
Countries citing papers authored by Daesung Moon
This map shows the geographic impact of Daesung 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 Daesung Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daesung Moon more than expected).
Fields of papers citing papers by Daesung Moon
This network shows the impact of papers produced by Daesung 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 Daesung Moon. The network helps show where Daesung Moon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daesung Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2020 | 0 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 1 | |
| 8 | 2015 | 110 | |
| 9 | 2015 | 29 | |
| 10 | 2013 | 6 | |
| 11 | 2012 | 13 | |
| 12 | 2012 | 1 | |
| 13 | 2011 | 1 | |
| 14 | 2010 | 7 | |
| 15 | 2009 | 2 | |
| 16 | 2009 | 2 | |
| 17 | 2008 | 2 | |
| 18 | 2008 | 7 | |
| 19 | An Watermarking Algorithm for Multimodal Biometric Systems | 2005 | 1 |
| 20 | The Complexity Evaluation System of Automobile Subassembly for Recycling | 1999 | 1 |
About Daesung Moon
Daesung Moon is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Safety Research, having authored 57 papers that have together received 647 indexed citations. Recurring topics across this work include Biometric Identification and Security (24 papers), User Authentication and Security Systems (21 papers), Network Security and Intrusion Detection (18 papers), Advanced Steganography and Watermarking Techniques (12 papers), Advanced Malware Detection Techniques (10 papers), Information and Cyber Security (6 papers), Anomaly Detection Techniques and Applications (5 papers) and Advanced Authentication Protocols Security (4 papers). The work is most often cited by research in Signal Processing (389 citations), Computer Networks and Communications (345 citations), Information Systems (281 citations), Computer Vision and Pattern Recognition (168 citations) and Artificial Intelligence (177 citations). Daesung Moon has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jong Hyuk Park, Ikkyun Kim, Sung Bum Pan, Yongwha Chung, Seo Yeon Moon, Pradip Kumar Sharma, Kiyoung Moon, Saurabh Singh, Jang‐Hee Yoo and Samuel Woo. Their work appears in journals such as ETRI Journal, Symmetry, Applied Sciences, IEEE Transactions on Consumer Electronics 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.