Insu Yu
Impact in
- Human-Computer Interaction top 1%
- Virtual Reality Applications and Impacts
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- Computer Graphics and Visualization Techniques
Papers in
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- Computer Graphics and Visualization Techniques 8
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- Advanced Vision and Imaging 7
- Image Enhancement Techniques 2
- Video Analysis and Summarization 1
- Co-authors
- Mel Slater (10 shared papers)Jesper Mortensen (8 shared papers)Pritee Khanna (4 shared papers)Bernhard Spanlang (2 shared papers)Jan Kautz (2 shared papers)Andrew Cox (1 shared paper)Min H. Kim (1 shared paper)Carsten Dachsbacher (1 shared paper)
- Journals
- IEEE Computer Graphics and Applications (4 papers)ACM Transactions on Applied Perception (1 paper)Scholarworks@UNIST (Ulsan National Institute of Science and Technology) (1 paper)
- Partner nations
- United KingdomSpainItaly
In The Last Decade
Insu Yu
12 papers receiving 458 citations
Peers
Comparison fields: 5 of 64
- Human-Computer Interaction 329
- Computer Graphics and Computer-Aided Design 53
- Cognitive Neuroscience 150
- Social Psychology 136
- Computer Vision and Pattern Recognition 130
Countries citing papers authored by Insu Yu
This map shows the geographic impact of Insu Yu'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 Insu Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Insu Yu more than expected).
Fields of papers citing papers by Insu Yu
This network shows the impact of papers produced by Insu Yu. 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 Insu Yu. The network helps show where Insu Yu may publish in the future.
Co-authors
The 17 scholars most cited alongside Insu Yu, 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 | 2009 | 212 | |
| 2 | 2012 | 161 | |
| 3 | 2006 | 33 | |
| 4 | 2009 | 29 | |
| 5 | 2008 | 12 | |
| 6 | 2004 | 9 | |
| 7 | 2011 | 7 | |
| 8 | 2011 | 4 | |
| 9 | 2004 | 4 | |
| 10 | 2004 | 3 | |
| 11 | 2007 | 1 | |
| 12 | 2007 | 1 |
About Insu Yu
Insu Yu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Media Technology and Human-Computer Interaction, having authored 12 papers that have together received 476 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Advanced Vision and Imaging (7 papers), Advanced Optical Imaging Technologies (5 papers), Visual perception and processing mechanisms (5 papers), Virtual Reality Applications and Impacts (3 papers), Image Enhancement Techniques (2 papers), 3D Shape Modeling and Analysis (1 paper) and Video Analysis and Summarization (1 paper). The work is most often cited by research in Human-Computer Interaction (329 citations), Computer Graphics and Computer-Aided Design (53 citations), Cognitive Neuroscience (150 citations), Social Psychology (136 citations) and Computer Vision and Pattern Recognition (130 citations). Insu Yu has collaborated with scholars based in United Kingdom, Spain and Italy. Frequent co-authors include Mel Slater, Jesper Mortensen, Pritee Khanna, Bernhard Spanlang, Jan Kautz, Andrew Cox, Min H. Kim, Carsten Dachsbacher, Tobias Ritschel and Thorsten Grosch. Their work appears in journals such as IEEE Computer Graphics and Applications, ACM Transactions on Applied Perception and Scholarworks@UNIST (Ulsan National Institute of Science and Technology).
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.