Fang Mei

31 papers and 371 indexed citations i.

About

Fang Mei is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Fang Mei has authored 31 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Fang Mei’s work include Vehicular Ad Hoc Networks (VANETs) (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Mobile Ad Hoc Networks (4 papers). Fang Mei is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Mobile Ad Hoc Networks (4 papers). Fang Mei collaborates with scholars based in China, United States and Canada. Fang Mei's co-authors include Wei Shen, Dan Zeng, Yuanwang Wei, Zhijiang Zhang, Radovan Kovacevic, Xuanjing Shen, Fang Zheng, Jun Qin, Yanheng Liu and Geng Sun and has published in prestigious journals such as Expert Systems with Applications, Sensors and Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Fang Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fang Mei

Since Specialization
Citations

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