Lap-Fai Yu

60 papers and 1.5k indexed citations i.

About

Lap-Fai Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Lap-Fai Yu has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 14 papers in Computational Mechanics and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Lap-Fai Yu’s work include 3D Shape Modeling and Analysis (13 papers), Computer Graphics and Visualization Techniques (12 papers) and Virtual Reality Applications and Impacts (8 papers). Lap-Fai Yu is often cited by papers focused on 3D Shape Modeling and Analysis (13 papers), Computer Graphics and Visualization Techniques (12 papers) and Virtual Reality Applications and Impacts (8 papers). Lap-Fai Yu collaborates with scholars based in United States, China and Singapore. Lap-Fai Yu's co-authors include Sai-Kit Yeung, Demetri Terzopoulos, Haikun Huang, Tony F. Chan, Stanley Osher, Chi–Keung Tang, Yongqi Zhang, Wei Liang, Changyang Li and Yibiao Zhao and has published in prestigious journals such as Medicine & Science in Sports & Exercise, ACM Transactions on Graphics and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Lap-Fai Yu i

Fields of papers citing papers by Lap-Fai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lap-Fai 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 Lap-Fai Yu. The network helps show where Lap-Fai Yu may publish in the future.

Countries citing papers authored by Lap-Fai Yu

Since Specialization
Citations

This map shows the geographic impact of Lap-Fai 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 Lap-Fai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lap-Fai Yu 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