Yue M. Lu

79 papers and 1.7k indexed citations i.

About

Yue M. Lu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yue M. Lu has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 24 papers in Computer Vision and Pattern Recognition and 18 papers in Signal Processing. Recurrent topics in Yue M. Lu’s work include Sparse and Compressive Sensing Techniques (29 papers), Image and Signal Denoising Methods (17 papers) and Blind Source Separation Techniques (11 papers). Yue M. Lu is often cited by papers focused on Sparse and Compressive Sensing Techniques (29 papers), Image and Signal Denoising Methods (17 papers) and Blind Source Separation Techniques (11 papers). Yue M. Lu collaborates with scholars based in United States, Switzerland and China. Yue M. Lu's co-authors include N. Minh, Martin Vetterli, Yuejie Chi, Yuxin Chen, Ivan Dokmanić, Sabine Süsstrunk, Andreas Walther, Reza Parhizkar, Gen Li and Laura Balzano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Yue M. Lu i

Fields of papers citing papers by Yue M. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yue M. Lu. 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 Yue M. Lu. The network helps show where Yue M. Lu may publish in the future.

Countries citing papers authored by Yue M. Lu

Since Specialization
Citations

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