Meiling Fang

22 papers and 272 indexed citations i.

About

Meiling Fang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Meiling Fang has authored 22 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Meiling Fang’s work include Face recognition and analysis (17 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (6 papers). Meiling Fang is often cited by papers focused on Face recognition and analysis (17 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (6 papers). Meiling Fang collaborates with scholars based in Germany, China and Italy. Meiling Fang's co-authors include Naser Damer, Arjan Kuijper, Fadi Boutros, Florian Kirchbuchner, Marco Huber, Biying Fu, Vitomir Štruc, Jan Niklas Kolf, Akram Alomainy and Yang Hao and has published in prestigious journals such as Pattern Recognition, Image and Vision Computing and Machine Vision and Applications.

In The Last Decade

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

Fields of papers citing papers by Meiling Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meiling Fang

Since Specialization
Citations

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