Joseph S. Shin
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Radiology, Nuclear Medicine and Imaging
- Cognitive Neuroscience
- Media Technology top 10%
- Co-authors
- Yu‐Wing TaiNaejin KongJunyong NohYong JeongSang Wook YooCostin D. UntaroiuYuan-Chiao LuDuk L. Na
- Topics
- Human Pose and Action Recognition (7 papers)Human Motion and Animation (7 papers)Video Analysis and Summarization (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Joseph S. Shin
16 papers receiving 268 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 134
- Control and Systems Engineering 52
- Radiology, Nuclear Medicine and Imaging 49
- Cognitive Neuroscience 43
- Media Technology 30
Countries citing papers authored by Joseph S. Shin
This map shows the geographic impact of Joseph S. 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 Joseph S. Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph S. Shin more than expected).
Fields of papers citing papers by Joseph S. Shin
This network shows the impact of papers produced by Joseph S. 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 Joseph S. Shin. The network helps show where Joseph S. Shin may publish in the future.
Co-authorship network of co-authors of Joseph S. Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph S. Shin. A scholar is included among the top collaborators of Joseph S. 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 Joseph S. Shin. Joseph S. 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 | 12 | |
| 4 | 27 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 47 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 10 | |
| 15 | 90 | |
| 16 | 9 | |
| 17 | 23 |
About Joseph S. Shin
Joseph S. Shin is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 17 papers that have together received 276 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Human Motion and Animation (7 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (134 citations), Computer Graphics and Computer-Aided Design (12 citations) and Media Technology (30 citations). Joseph S. Shin has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Yu‐Wing Tai, Naejin Kong, Junyong Noh, Yong Jeong, Sang Wook Yoo, Costin D. Untaroiu, Yuan-Chiao Lu, Duk L. Na, Cheol E. Han and Sang Won Seo. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.