Ki‐Hyun Jung
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- Advanced Steganography and Watermarking Techniques 86
- Digital Media Forensic Detection 85
- Chaos-based Image/Signal Encryption 64
- Generative Adversarial Networks and Image Synthesis 8
- Advanced Data Compression Techniques 5
- Advanced Image Processing Techniques 5
- Signal Processing top 5%
- Biometric Identification and Security 5
- Media Technology top 5%
- Artificial Intelligence top 10%
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- Digital and Cyber Forensics 5
Ki‐Hyun Jung
98 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 1.6k
- Signal Processing 130
- Media Technology 68
- Computer Graphics and Computer-Aided Design 19
- Artificial Intelligence 123
Countries citing papers authored by Ki‐Hyun Jung
This map shows the geographic impact of Ki‐Hyun Jung'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 Ki‐Hyun Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki‐Hyun Jung more than expected).
Fields of papers citing papers by Ki‐Hyun Jung
This network shows the impact of papers produced by Ki‐Hyun Jung. 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 Ki‐Hyun Jung. The network helps show where Ki‐Hyun Jung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ki‐Hyun Jung, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2019 | 13 | |
| 16 | Comparative Histogram Analysis of LSB-based Image Steganography | 2018 | 6 |
| 17 | Steganographic Method Based on Three Directional Embedding | 2010 | 0 |
| 18 | High Capacity Steganographic Method | 2009 | 1 |
| 19 | A Data Hiding Method of Binary Images Using Pixel-value Weighting | 2008 | 1 |
| 20 | Image Steganographic Method using Variable Length for Data Embedding | 2008 | 0 |
About Ki‐Hyun Jung
Ki‐Hyun Jung is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Software, having authored 114 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (86 papers), Digital Media Forensic Detection (85 papers), Chaos-based Image/Signal Encryption (64 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Data Compression Techniques (5 papers), Biometric Identification and Security (5 papers), Advanced Image Processing Techniques (5 papers) and Digital and Cyber Forensics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (130 citations) and Media Technology (68 citations). Ki‐Hyun Jung has collaborated with scholars based in South Korea, India and Pakistan. Frequent co-authors include Kee-Young Yoo, Mehdi Hussain, Ainuddin Wahid Abdul Wahab, Rajeev Kumar, Anthony T. S. Ho, Saurabh Agarwal, Neeraj Kumar, H. Conrad, Qaiser Riaz and Rajkumar Soundrapandiyan. Their work appears in journals such as Multimedia Tools and Applications, Applied Sciences, Symmetry, Journal of Information Security and Applications and Information Sciences.
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.