Yun Suen Pai
- Human-Computer Interaction top 1%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Kai KunzeMark BillinghurstKunal GuptaS. RameshHwa Jen YapTilman DinglerAndreas DuenserKouta Minamizawa
- Topics
- Virtual Reality Applications and Impacts (30 papers)Interactive and Immersive Displays (18 papers)Gaze Tracking and Assistive Technology (13 papers)
- Journals
- Scientific ReportsIEEE Transactions on Visualization and Computer GraphicsInternational Journal of Human-Computer Studies
- Partner nations
- JapanNew ZealandAustralia
In The Last Decade
Yun Suen Pai
68 papers receiving 589 citations
Peers
Comparison fields: 5 of 87
- Human-Computer Interaction 319
- Cognitive Neuroscience 212
- Social Psychology 141
- Computer Vision and Pattern Recognition 118
- Experimental and Cognitive Psychology 78
Countries citing papers authored by Yun Suen Pai
This map shows the geographic impact of Yun Suen Pai'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 Yun Suen Pai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Suen Pai more than expected).
Fields of papers citing papers by Yun Suen Pai
This network shows the impact of papers produced by Yun Suen Pai. 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 Yun Suen Pai. The network helps show where Yun Suen Pai may publish in the future.
Co-authorship network of co-authors of Yun Suen Pai
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Suen Pai. A scholar is included among the top collaborators of Yun Suen Pai 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 Yun Suen Pai. Yun Suen Pai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 54 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 22 |
About Yun Suen Pai
Yun Suen Pai is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 78 papers that have together received 599 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (30 papers), Interactive and Immersive Displays (18 papers) and Gaze Tracking and Assistive Technology (13 papers). The work is most often cited by research in Human-Computer Interaction (319 citations), Cognitive Neuroscience (212 citations) and Social Psychology (141 citations). Yun Suen Pai has collaborated with scholars based in Japan, New Zealand and Australia. Frequent co-authors include Kai Kunze, Mark Billinghurst, Kunal Gupta, S. Ramesh, Hwa Jen Yap, Tilman Dingler, Andreas Duenser, Kouta Minamizawa, Suranga Nanayakkara and Benjamin Tag. Their work appears in journals such as Scientific Reports, IEEE Transactions on Visualization and Computer Graphics and International Journal of Human-Computer Studies.
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.