Xiao-Guang Lv

50 papers and 697 indexed citations i.

About

Xiao-Guang Lv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Mathematical Physics. According to data from OpenAlex, Xiao-Guang Lv has authored 50 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 25 papers in Computational Mechanics and 12 papers in Mathematical Physics. Recurrent topics in Xiao-Guang Lv’s work include Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (25 papers) and Advanced Image Processing Techniques (19 papers). Xiao-Guang Lv is often cited by papers focused on Image and Signal Denoising Methods (34 papers), Sparse and Compressive Sensing Techniques (25 papers) and Advanced Image Processing Techniques (19 papers). Xiao-Guang Lv collaborates with scholars based in China, Hong Kong and United States. Xiao-Guang Lv's co-authors include Ting‐Zhu Huang, Jun Liu, Fang Li, Ivan Selesnick, Po‐Yu Chen, Jun Liu, Zongben Xu, Xi-Le Zhao, Si Wang and Jin Huang and has published in prestigious journals such as PLoS ONE, Journal of the Franklin Institute and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Xiao-Guang Lv i

Fields of papers citing papers by Xiao-Guang Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiao-Guang Lv

Since Specialization
Citations

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