Young‐Ho Suh
- Computer Vision and Pattern Recognition top 5%
- Information Systems
- Artificial Intelligence
- Control and Systems Engineering
- Signal Processing
- Co-authors
- Yo‐Sung HoSang-Kwang LeeHisakazu KikuchiHeung-Kyu LeeKang‐Woo LeeMin-Jeong LeeKyungsu KimHae-Yeoun Lee
- Topics
- Advanced Steganography and Watermarking Techniques (18 papers)Digital Media Forensic Detection (15 papers)Chaos-based Image/Signal Encryption (13 papers)
- Journals
- Advanced RoboticsCluster ComputingComputers, materials & continua/Computers, materials & continua (Print)
- Partner nations
- South KoreaJapan
In The Last Decade
Young‐Ho Suh
42 papers receiving 343 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 332
- Information Systems 26
- Artificial Intelligence 25
- Control and Systems Engineering 22
- Signal Processing 22
Countries citing papers authored by Young‐Ho Suh
This map shows the geographic impact of Young‐Ho Suh'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 Young‐Ho Suh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Ho Suh more than expected).
Fields of papers citing papers by Young‐Ho Suh
This network shows the impact of papers produced by Young‐Ho Suh. 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 Young‐Ho Suh. The network helps show where Young‐Ho Suh may publish in the future.
Co-authorship network of co-authors of Young‐Ho Suh
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Ho Suh. A scholar is included among the top collaborators of Young‐Ho Suh 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 Young‐Ho Suh. Young‐Ho Suh 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | A Communication Framework for the Robotic Mediator collaborating with Smart Environments | 3 |
| 8 | 4 | |
| 9 | Analysis of Causal Relationship among Performance Factors of Quality Management in Korean Public Enterprises : Using Malcolm Baldrige Non-profit Criteria | 5 |
| 10 | DWT-based image fingerprinting scheme resistant against geometrical distortion and lossy compression | 0 |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 80 | |
| 20 | Performance and Scalability Issues in Mobile Agent Based Workflow Systems | 3 |
About Young‐Ho Suh
Young‐Ho Suh is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 50 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (18 papers), Digital Media Forensic Detection (15 papers) and Chaos-based Image/Signal Encryption (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (332 citations), Signal Processing (22 citations) and Media Technology (13 citations). Young‐Ho Suh has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Yo‐Sung Ho, Sang-Kwang Lee, Hisakazu Kikuchi, Heung-Kyu Lee, Kang‐Woo Lee, Min-Jeong Lee, Kyungsu Kim, Hae-Yeoun Lee, Eun-Sun Cho and Hyun Kim. Their work appears in journals such as Advanced Robotics, Cluster Computing and Computers, materials & continua/Computers, materials & continua (Print).
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.