Kanghui Guo

36 papers and 1.0k indexed citations i.

About

Kanghui Guo is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Kanghui Guo has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Applied Mathematics, 20 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Mechanics. Recurrent topics in Kanghui Guo’s work include Image and Signal Denoising Methods (20 papers), Mathematical Analysis and Transform Methods (19 papers) and Advanced Harmonic Analysis Research (10 papers). Kanghui Guo is often cited by papers focused on Image and Signal Denoising Methods (20 papers), Mathematical Analysis and Transform Methods (19 papers) and Advanced Harmonic Analysis Research (10 papers). Kanghui Guo collaborates with scholars based in United States and Canada. Kanghui Guo's co-authors include Demetrio Labate, Guido Weiss, Wang‐Q Lim, Edward N. Wilson, Yibiao Pan, Dashan Fan, Flavia Colonna, Glenn R. Easley, S.W. Drury and Shouchuan Hu and has published in prestigious journals such as Transactions of the American Mathematical Society, Journal of Computational and Applied Mathematics and Proceedings of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Kanghui Guo i

Fields of papers citing papers by Kanghui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanghui Guo

Since Specialization
Citations

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