Ki‐Hyun Jung
- Computer Vision and Pattern Recognition top 0.5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Information Systems top 10%
- Co-authors
- Kee-Young YooMehdi HussainAinuddin Wahid Abdul WahabRajeev KumarAnthony T. S. HoSaurabh AgarwalNeeraj KumarH. Conrad
- Topics
- Advanced Steganography and Watermarking Techniques (86 papers)Digital Media Forensic Detection (85 papers)Chaos-based Image/Signal Encryption (64 papers)
- Journals
- Journal of Applied PhysicsMaterials Science and Engineering AExpert Systems with Applications
- Partner nations
- South KoreaIndiaPakistan
In The Last Decade
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
- Artificial Intelligence 123
- Media Technology 68
- Information Systems 65
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 of co-authors of Ki‐Hyun Jung
This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Hyun Jung. A scholar is included among the top collaborators of Ki‐Hyun Jung 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 Ki‐Hyun Jung. Ki‐Hyun Jung 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | Comparative Histogram Analysis of LSB-based Image Steganography | 6 |
| 17 | Steganographic Method Based on Three Directional Embedding | 0 |
| 18 | High Capacity Steganographic Method | 1 |
| 19 | A Data Hiding Method of Binary Images Using Pixel-value Weighting | 1 |
| 20 | Image Steganographic Method using Variable Length for Data Embedding | 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) and Chaos-based Image/Signal Encryption (64 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 Journal of Applied Physics, Materials Science and Engineering A and Expert Systems with Applications.
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.