Kiwon Yun
Impact in
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
- Gaze Tracking and Assistive Technology
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Multimodal Machine Learning Applications
Papers in
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- Visual Attention and Saliency Detection 6
- Advanced Image and Video Retrieval Techniques 3
- Human Pose and Action Recognition 2
- Image and Video Quality Assessment 1
- Video Analysis and Summarization 1
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- Gaze Tracking and Assistive Technology 6
- Co-authors
- Dimitris Samaras (8 shared papers)Tamara L. Berg (4 shared papers)Debaleena Chattopadhyay (1 shared paper)Jean Honorio (1 shared paper)Gregory J. Zelinsky (6 shared papers)Yifan Peng (3 shared papers)Jihoon Ryoo (1 shared paper)Samir R. Das (1 shared paper)
- Partner nations
- United States
In The Last Decade
Kiwon Yun
8 papers receiving 452 citations
Kiwon Yun's Hit Papers
Peers
Comparison fields: 5 of 45
- Human-Computer Interaction 143
- Computer Vision and Pattern Recognition 432
- Artificial Intelligence 179
- Biomedical Engineering 116
- Sensory Systems 8
Countries citing papers authored by Kiwon Yun
This map shows the geographic impact of Kiwon Yun'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 Kiwon Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiwon Yun more than expected).
Fields of papers citing papers by Kiwon Yun
This network shows the impact of papers produced by Kiwon Yun. 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 Kiwon Yun. The network helps show where Kiwon Yun may publish in the future.
Co-authors
The 10 scholars most cited alongside Kiwon Yun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Two-person interaction detection using body-pose features and multiple instance learning Hit paper breakdown → | 2012 | 346 |
| 2 | 2013 | 49 | |
| 3 | 2013 | 32 | |
| 4 | 2016 | 28 | |
| 5 | 2015 | 6 | |
| 6 | 2015 | 3 | |
| 7 | 2013 | 2 | |
| 8 | 2015 | 1 |
About Kiwon Yun
Kiwon Yun is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Automotive Engineering, Control and Systems Engineering and Space and Planetary Science, having authored 8 papers that have together received 467 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (6 papers), Visual Attention and Saliency Detection (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Human Pose and Action Recognition (2 papers), Image and Video Quality Assessment (1 paper), Face Recognition and Perception (1 paper), Video Analysis and Summarization (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Human-Computer Interaction (143 citations), Computer Vision and Pattern Recognition (432 citations), Artificial Intelligence (179 citations), Biomedical Engineering (116 citations) and Sensory Systems (8 citations). Kiwon Yun has collaborated with scholars based in United States. Frequent co-authors include Dimitris Samaras, Tamara L. Berg, Debaleena Chattopadhyay, Jean Honorio, Gregory J. Zelinsky, Yifan Peng, Jihoon Ryoo, Samir R. Das, Hee Young Kwon and Minh Hoai. Their work appears in journals such as Journal of Vision and Frontiers in Psychology.
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.