Lingyun Yu
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 2%
- Artificial Intelligence
- Sociology and Political Science
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Tobias IsenbergYingcai WuTan TangDaniel F. KeefeAnders YnnermanLonni BesançonPetra IsenbergHai‐Ning Liang
- Topics
- Data Visualization and Analytics (15 papers)Video Analysis and Summarization (7 papers)Virtual Reality Applications and Impacts (7 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- Marine Pollution BulletinIEEE Transactions on Visualization and Computer GraphicsStudies in Higher Education
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lingyun Yu
27 papers receiving 455 citations
Peers
Comparison fields: 5 of 85
- Computer Vision and Pattern Recognition 330
- Human-Computer Interaction 156
- Artificial Intelligence 81
- Sociology and Political Science 56
- Computer Graphics and Computer-Aided Design 42
Countries citing papers authored by Lingyun Yu
This map shows the geographic impact of Lingyun 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 Lingyun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyun Yu more than expected).
Fields of papers citing papers by Lingyun Yu
This network shows the impact of papers produced by Lingyun 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 Lingyun Yu. The network helps show where Lingyun Yu may publish in the future.
Co-authorship network of co-authors of Lingyun Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Lingyun Yu. A scholar is included among the top collaborators of Lingyun Yu 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 Lingyun Yu. Lingyun Yu 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 | 4 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 23 | |
| 12 | 19 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | 19 | |
| 16 | 29 | |
| 17 | 17 | |
| 18 | 44 | |
| 19 | 37 | |
| 20 | 58 |
About Lingyun Yu
Lingyun Yu is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 471 indexed citations. Recurring topics across this work include Data Visualization and Analytics (15 papers), Video Analysis and Summarization (7 papers) and Virtual Reality Applications and Impacts (7 papers). The work is most often cited by research in Human-Computer Interaction (156 citations), Computer Vision and Pattern Recognition (330 citations) and Computer Graphics and Computer-Aided Design (42 citations). Lingyun Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tobias Isenberg, Yingcai Wu, Tan Tang, Daniel F. Keefe, Anders Ynnerman, Lonni Besançon, Petra Isenberg, Hai‐Ning Liang, Yue Li and Peiran Ren. Their work appears in journals such as Marine Pollution Bulletin, IEEE Transactions on Visualization and Computer Graphics and Studies in Higher Education.
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.