Hosub Yoon
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Jaehong KimYoungwoo YoonJung SohDohyung KimJaeyeon LeeEui-Young ChaHenry LeungKeun-Chang Kwak
- Topics
- Video Surveillance and Tracking Methods (9 papers)Hand Gesture Recognition Systems (9 papers)Face recognition and analysis (7 papers)
- Journals
- IEEE Transactions on Instrumentation and MeasurementElectronicsIEEE Transactions on Consumer Electronics
- Partner nations
- South KoreaJapanCanada
In The Last Decade
Hosub Yoon
29 papers receiving 301 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 179
- Human-Computer Interaction 87
- Signal Processing 73
- Artificial Intelligence 71
- Control and Systems Engineering 50
Countries citing papers authored by Hosub Yoon
This map shows the geographic impact of Hosub Yoon'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 Hosub Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hosub Yoon more than expected).
Fields of papers citing papers by Hosub Yoon
This network shows the impact of papers produced by Hosub Yoon. 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 Hosub Yoon. The network helps show where Hosub Yoon may publish in the future.
Co-authorship network of co-authors of Hosub Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Hosub Yoon. A scholar is included among the top collaborators of Hosub Yoon 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 Hosub Yoon. Hosub Yoon 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 | 1 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 32 | |
| 14 | 18 | |
| 15 | 21 | |
| 16 | 0 | |
| 17 | 10 | |
| 18 | A New Face Detection Method using Combined Features of Color and Edge under the Illumination Variance | 1 |
| 19 | 17 | |
| 20 | A Study on Image Retrieval Using Space Information of Color Histogram | 1 |
About Hosub Yoon
Hosub Yoon is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 31 papers that have together received 324 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Hand Gesture Recognition Systems (9 papers) and Face recognition and analysis (7 papers). The work is most often cited by research in Human-Computer Interaction (87 citations), Computer Vision and Pattern Recognition (179 citations) and Signal Processing (73 citations). Hosub Yoon has collaborated with scholars based in South Korea, Japan and Canada. Frequent co-authors include Jaehong Kim, Youngwoo Yoon, Jung Soh, Dohyung Kim, Jaeyeon Lee, Eui-Young Cha, Henry Leung, Keun-Chang Kwak, Hye Jin Kim and Jang‐Hee Yoo. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Electronics and IEEE Transactions on Consumer Electronics.
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.