Seong-Yoon Shin
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Information Systems
- Human-Computer Interaction
- Sociology and Political Science
- Co-authors
- Jong-Chan KimGuangxing WangSangwon LeeHyunae LeeZheyu ZhangKi‐Hong ParkSang‐Joon ParkKangho Lee
- Topics
- Innovation in Digital Healthcare Systems (8 papers)Video Analysis and Summarization (7 papers)Technology and Data Analysis (7 papers)
- Journals
- Applied SciencesExperimental & Molecular MedicineInternational Journal of Electrical and Computer Engineering (IJECE)
- Partner nations
- South KoreaChinaMalaysia
In The Last Decade
Seong-Yoon Shin
43 papers receiving 141 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 29
- Computer Vision and Pattern Recognition 28
- Information Systems 20
- Human-Computer Interaction 18
- Sociology and Political Science 15
Countries citing papers authored by Seong-Yoon Shin
This map shows the geographic impact of Seong-Yoon Shin'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 Seong-Yoon Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong-Yoon Shin more than expected).
Fields of papers citing papers by Seong-Yoon Shin
This network shows the impact of papers produced by Seong-Yoon Shin. 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 Seong-Yoon Shin. The network helps show where Seong-Yoon Shin may publish in the future.
Co-authorship network of co-authors of Seong-Yoon Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Seong-Yoon Shin. A scholar is included among the top collaborators of Seong-Yoon Shin 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 Seong-Yoon Shin. Seong-Yoon Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | Recognition of Events by Human Motion for Context-aware Computing | 1 |
| 18 | Scene Change Detection with 3-Step Process | 0 |
| 19 | Image Recognition Using Colored-hear Transformation Based On Human Synesthesia | 0 |
| 20 | 3 |
About Seong-Yoon Shin
Seong-Yoon Shin is a scholar working on Health Information Management, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 172 indexed citations. Recurring topics across this work include Innovation in Digital Healthcare Systems (8 papers), Video Analysis and Summarization (7 papers) and Technology and Data Analysis (7 papers). The work is most often cited by research in Human-Computer Interaction (18 citations), Computer Science Applications (15 citations) and Health Informatics (3 citations). Seong-Yoon Shin has collaborated with scholars based in South Korea, China and Malaysia. Frequent co-authors include Jong-Chan Kim, Guangxing Wang, Sangwon Lee, Sangwon Lee, Hyunae Lee, Sangwon Lee, Zheyu Zhang, Ki‐Hong Park, Sang‐Joon Park and Kangho Lee. Their work appears in journals such as Applied Sciences, Experimental & Molecular Medicine and International Journal of Electrical and Computer Engineering (IJECE).
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.