Jun Yu

97 papers and 1.5k indexed citations i.

About

Jun Yu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Ecology. According to data from OpenAlex, Jun Yu has authored 97 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 12 papers in Biomedical Engineering and 10 papers in Ecology. Recurrent topics in Jun Yu’s work include Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (9 papers) and Blind Source Separation Techniques (8 papers). Jun Yu is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Sparse and Compressive Sensing Techniques (9 papers) and Blind Source Separation Techniques (8 papers). Jun Yu collaborates with scholars based in Sweden, China and United States. Jun Yu's co-authors include S. Karlsson, Metin Akay, Joyce Zhou, Ji Eun Park, Weng‐Keen Wong, Mikael Karlsson, Thomas Asklund, Arun Pereira, Mark J. Arnold and Jesper Karlsson and has published in prestigious journals such as PLoS ONE, Ecology and Journal of Hazardous Materials.

In The Last Decade

Co-authorship network of co-authors of Jun Yu i

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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