Difeng Yu
Impact in
- Human-Computer Interaction top 0.5%
- Interactive and Immersive Displays
- Virtual Reality Applications and Impacts
- Gaze Tracking and Assistive Technology
- Hand Gesture Recognition Systems
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- Augmented Reality Applications
Papers in
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- Interactive and Immersive Displays 23
- Virtual Reality Applications and Impacts 20
- Gaze Tracking and Assistive Technology 8
- Innovative Human-Technology Interaction 4
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- Augmented Reality Applications 18
- Data Visualization and Analytics 3
- Visual Attention and Saliency Detection 3
- Co-authors
- Hai‐Ning Liang (18 shared papers)Jorge Gonçalves (18 shared papers)Wenge Xu (9 shared papers)Tilman Dingler (11 shared papers)Eduardo Velloso (11 shared papers)Kaixuan Fan (3 shared papers)Diego Monteiro (4 shared papers)Qiushi Zhou (6 shared papers)
In The Last Decade
Difeng Yu
41 papers receiving 997 citations
Peers
Comparison fields: 5 of 81
- Human-Computer Interaction 789
- Computer Vision and Pattern Recognition 427
- Cognitive Neuroscience 329
- Computer Graphics and Computer-Aided Design 20
- Social Psychology 86
Countries citing papers authored by Difeng Yu
This map shows the geographic impact of Difeng 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 Difeng Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Difeng Yu more than expected).
Fields of papers citing papers by Difeng Yu
This network shows the impact of papers produced by Difeng 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 Difeng Yu. The network helps show where Difeng Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Difeng 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
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2018 | 82 | |
| 3 | 2020 | 80 | |
| 4 | 2019 | 74 | |
| 5 | 2019 | 56 | |
| 6 | 2020 | 49 | |
| 7 | 2021 | 47 | |
| 8 | 2023 | 43 | |
| 9 | 2019 | 42 | |
| 10 | 2021 | 42 | |
| 11 | 2021 | 41 | |
| 12 | 2019 | 41 | |
| 13 | 2020 | 30 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2022 | 23 | |
| 18 | 2022 | 21 | |
| 19 | 2020 | 17 | |
| 20 | 2022 | 17 |
About Difeng Yu
Difeng Yu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Museology and Social Psychology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Interactive and Immersive Displays (23 papers), Virtual Reality Applications and Impacts (20 papers), Augmented Reality Applications (18 papers), Tactile and Sensory Interactions (17 papers), Gaze Tracking and Assistive Technology (8 papers), Innovative Human-Technology Interaction (4 papers), Data Visualization and Analytics (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Human-Computer Interaction (789 citations), Computer Vision and Pattern Recognition (427 citations), Cognitive Neuroscience (329 citations), Computer Graphics and Computer-Aided Design (20 citations) and Social Psychology (86 citations). Difeng Yu has collaborated with scholars based in Australia, China and Denmark. Frequent co-authors include Hai‐Ning Liang, Jorge Gonçalves, Wenge Xu, Tilman Dingler, Eduardo Velloso, Kaixuan Fan, Diego Monteiro, Qiushi Zhou, Rongkai Shi and Joshua Newn. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Proceedings of the ACM on Human-Computer Interaction, Journal of Medical Internet Research and ACM Computing Surveys.
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.