Ling‐Qi Yan

63 papers and 645 indexed citations i.

About

Ling‐Qi Yan is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ling‐Qi Yan has authored 63 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Graphics and Computer-Aided Design, 50 papers in Computer Vision and Pattern Recognition and 28 papers in Computational Mechanics. Recurrent topics in Ling‐Qi Yan’s work include Computer Graphics and Visualization Techniques (54 papers), Advanced Vision and Imaging (37 papers) and 3D Shape Modeling and Analysis (24 papers). Ling‐Qi Yan is often cited by papers focused on Computer Graphics and Visualization Techniques (54 papers), Advanced Vision and Imaging (37 papers) and 3D Shape Modeling and Analysis (24 papers). Ling‐Qi Yan collaborates with scholars based in United States, China and Canada. Ling‐Qi Yan's co-authors include Ravi Ramamoorthi, Miloš Hašan, Steve Marschner, Jason Lawrence, Wenzel Jakob, Bruce Walter, Henrik Wann Jensen, Kun Xu, Yanwen Guo and Jie Guo and has published in prestigious journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Ling‐Qi Yan i

Fields of papers citing papers by Ling‐Qi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Qi Yan. 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 Ling‐Qi Yan. The network helps show where Ling‐Qi Yan may publish in the future.

Countries citing papers authored by Ling‐Qi Yan

Since Specialization
Citations

This map shows the geographic impact of Ling‐Qi Yan'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 Ling‐Qi Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling‐Qi Yan more than expected).

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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2025