Shuli Mei

36 papers and 213 indexed citations i.

About

Shuli Mei is a scholar working on Computer Vision and Pattern Recognition, Modeling and Simulation and Atmospheric Science. According to data from OpenAlex, Shuli Mei has authored 36 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Modeling and Simulation and 5 papers in Atmospheric Science. Recurrent topics in Shuli Mei’s work include Image and Signal Denoising Methods (16 papers), Fractional Differential Equations Solutions (10 papers) and Advanced Image Fusion Techniques (5 papers). Shuli Mei is often cited by papers focused on Image and Signal Denoising Methods (16 papers), Fractional Differential Equations Solutions (10 papers) and Advanced Image Fusion Techniques (5 papers). Shuli Mei collaborates with scholars based in China, Italy and Ireland. Shuli Mei's co-authors include Cheng‐Jin Du, Li Li, Yan-E Zhang, Jin Li, Wanlin Gao, Lu Qi-Shao, Meng Liu, Haihua Wang, Qin Ma and Qishao Lu and has published in prestigious journals such as Sensors, Applied Soft Computing and Computers and Electronics in Agriculture.

In The Last Decade

Co-authorship network of co-authors of Shuli Mei i

Fields of papers citing papers by Shuli Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuli Mei

Since Specialization
Citations

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