Lingyun Yu

46 total papers · 698 total citations
30 papers, 462 citations indexed

About

Lingyun Yu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, Lingyun Yu has authored 30 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 11 papers in Human-Computer Interaction and 7 papers in Sociology and Political Science. Recurrent topics in Lingyun Yu's work include Data Visualization and Analytics (15 papers), Interactive and Immersive Displays (7 papers) and Virtual Reality Applications and Impacts (7 papers). Lingyun Yu is often cited by papers focused on Data Visualization and Analytics (15 papers), Interactive and Immersive Displays (7 papers) and Virtual Reality Applications and Impacts (7 papers). Lingyun Yu collaborates with scholars based in China, United States and Hong Kong. Lingyun Yu's co-authors include Tobias Isenberg, Yingcai Wu, Tan Tang, Anders Ynnerman, Lonni Besançon, Daniel F. Keefe, Petra Isenberg, Hai‐Ning Liang, Yue Li and Peiran Ren and has published in prestigious journals such as Marine Pollution Bulletin, IEEE Transactions on Visualization and Computer Graphics and Studies in Higher Education.

In The Last Decade

Lingyun Yu

27 papers receiving 446 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lingyun Yu 328 153 79 56 42 30 462
Fabio Pittarello 226 0.7× 198 1.3× 74 0.9× 64 1.1× 27 0.6× 75 504
Sarah Goodwin 309 0.9× 149 1.0× 51 0.6× 34 0.6× 26 0.6× 47 448
Camilla Forsell 361 1.1× 74 0.5× 107 1.4× 51 0.9× 38 0.9× 33 504
Panagiotis D. Ritsos 312 1.0× 241 1.6× 43 0.5× 52 0.9× 51 1.2× 45 513
Sriram Karthik Badam 378 1.2× 212 1.4× 96 1.2× 75 1.3× 30 0.7× 25 552
Richen Liu 182 0.6× 139 0.9× 59 0.7× 27 0.5× 66 1.6× 32 411
Casey Reas 150 0.5× 113 0.7× 42 0.5× 43 0.8× 29 0.7× 17 509
Beth Yost 330 1.0× 255 1.7× 61 0.8× 33 0.6× 45 1.1× 22 510
Daniel Cernea 322 1.0× 156 1.0× 74 0.9× 68 1.2× 23 0.5× 23 513
Samuel Huron 294 0.9× 215 1.4× 58 0.7× 77 1.4× 11 0.3× 27 471

Countries citing papers authored by Lingyun Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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