Chenlei Lv

24 papers and 180 indexed citations i.

About

Chenlei Lv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chenlei Lv has authored 24 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chenlei Lv’s work include 3D Shape Modeling and Analysis (12 papers), Face and Expression Recognition (6 papers) and Face recognition and analysis (6 papers). Chenlei Lv is often cited by papers focused on 3D Shape Modeling and Analysis (12 papers), Face and Expression Recognition (6 papers) and Face recognition and analysis (6 papers). Chenlei Lv collaborates with scholars based in China, Singapore and South Korea. Chenlei Lv's co-authors include Weisi Lin, Baoquan Zhao, Zhongke Wu, Xingce Wang, Ke Sun, Bingbing Zhang, Mingquan Zhou, Mingquan Zhou, Kar‐Ann Toh and Jianmin Zheng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Chenlei Lv i

Fields of papers citing papers by Chenlei Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenlei Lv. 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 Chenlei Lv. The network helps show where Chenlei Lv may publish in the future.

Countries citing papers authored by Chenlei Lv

Since Specialization
Citations

This map shows the geographic impact of Chenlei Lv'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 Chenlei Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenlei Lv 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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2026