Byungyong Ryu
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 5%
- Media Technology top 10%
- Signal Processing
- Urban Studies top 10%
- Co-authors
- Oksam ChaeAdıń Ramıŕez RiveraM. Abdullah‐Al‐WadudMohammad ShoyaibSung‐Ho BaeKaushik RoySungwoo ChoiKaniz Fatima
- Topics
- Face and Expression Recognition (7 papers)Emotion and Mood Recognition (5 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Information Forensics and SecurityMultimedia Tools and Applications
- Partner nations
- South KoreaBangladeshSaudi Arabia
In The Last Decade
Byungyong Ryu
20 papers receiving 357 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 350
- Experimental and Cognitive Psychology 193
- Media Technology 42
- Signal Processing 32
- Urban Studies 30
Countries citing papers authored by Byungyong Ryu
This map shows the geographic impact of Byungyong Ryu'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 Byungyong Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byungyong Ryu more than expected).
Fields of papers citing papers by Byungyong Ryu
This network shows the impact of papers produced by Byungyong Ryu. 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 Byungyong Ryu. The network helps show where Byungyong Ryu may publish in the future.
Co-authorship network of co-authors of Byungyong Ryu
This figure shows the co-authorship network connecting the top 25 collaborators of Byungyong Ryu. A scholar is included among the top collaborators of Byungyong Ryu 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 Byungyong Ryu. Byungyong Ryu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 19 | |
| 5 | 54 | |
| 6 | 2 | |
| 7 | 36 | |
| 8 | 109 | |
| 9 | 5 | |
| 10 | 30 | |
| 11 | Exploring Positional Ternary Pattern (PTP) for Conventional Facial Expression Recognition from Static Images | 5 |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 7 | |
| 19 | 69 | |
| 20 | A study on the measurement of flank wear by computer vision in turning | 1 |
About Byungyong Ryu
Byungyong Ryu is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Experimental and Cognitive Psychology, having authored 20 papers that have together received 383 indexed citations. Recurring topics across this work include Face and Expression Recognition (7 papers), Emotion and Mood Recognition (5 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (350 citations), Experimental and Cognitive Psychology (193 citations) and Urban Studies (30 citations). Byungyong Ryu has collaborated with scholars based in South Korea, Bangladesh and Saudi Arabia. Frequent co-authors include Oksam Chae, Adıń Ramıŕez Rivera, Oksam Chae, M. Abdullah‐Al‐Wadud, Mohammad Shoyaib, Sung‐Ho Bae, Kaushik Roy, Sungwoo Choi, Kaniz Fatima and Md. Mominul Haque. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security and Multimedia Tools and 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.