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 21
- Virtual Reality Applications and Impacts 20
- Gaze Tracking and Assistive Technology 7
- Innovative Human-Technology Interaction 3
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- Augmented Reality Applications 17
- Data Visualization and Analytics 3
- Visual Attention and Saliency Detection 3
- Co-authors
- Hai‐Ning Liang (16 shared papers)Jorge Gonçalves (17 shared papers)Wenge Xu (8 shared papers)Tilman Dingler (11 shared papers)Eduardo Velloso (11 shared papers)Kaixuan Fan (3 shared papers)Rongkai Shi (3 shared papers)Diego Monteiro (3 shared papers)
In The Last Decade
Difeng Yu
38 papers receiving 839 citations
Peers
Comparison fields: 5 of 79
- Human-Computer Interaction 679
- Computer Vision and Pattern Recognition 354
- Cognitive Neuroscience 286
- Computer Graphics and Computer-Aided Design 16
- Social Psychology 74
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 82 | |
| 2 | 2020 | 68 | |
| 3 | 2019 | 65 | |
| 4 | 2018 | 63 | |
| 5 | 2019 | 47 | |
| 6 | 2020 | 44 | |
| 7 | 2023 | 41 | |
| 8 | 2021 | 41 | |
| 9 | 2021 | 37 | |
| 10 | 2021 | 36 | |
| 11 | 2019 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2020 | 29 | |
| 14 | 2020 | 24 | |
| 15 | 2018 | 21 | |
| 16 | 2022 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 15 | |
| 20 | 2022 | 15 |
About Difeng Yu
Difeng Yu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Social Psychology and Mechanical Engineering, having authored 42 papers that have together received 854 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (21 papers), Virtual Reality Applications and Impacts (20 papers), Augmented Reality Applications (17 papers), Tactile and Sensory Interactions (15 papers), Gaze Tracking and Assistive Technology (7 papers), Data Visualization and Analytics (3 papers), Visual Attention and Saliency Detection (3 papers) and Innovative Human-Technology Interaction (3 papers). The work is most often cited by research in Human-Computer Interaction (679 citations), Computer Vision and Pattern Recognition (354 citations), Cognitive Neuroscience (286 citations), Computer Graphics and Computer-Aided Design (16 citations) and Social Psychology (74 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, Rongkai Shi, Diego Monteiro, Qiushi Zhou 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, ACM Computing Surveys and Journal of Medical Internet Research.
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.