Meina Kan

22 papers and 1.2k indexed citations
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About

Meina Kan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Meina Kan has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Meina Kan’s work include Face recognition and analysis (13 papers), Face and Expression Recognition (10 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Meina Kan is often cited by papers focused on Face recognition and analysis (13 papers), Face and Expression Recognition (10 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Meina Kan collaborates with scholars based in China, Singapore and United Arab Emirates. Meina Kan's co-authors include Shiguang Shan, Xilin Chen, Shihong Lao, Haihong Zhang, Wangmeng Zuo, Shuzhe Wu, Dong Xu, Zhenliang He, Xin Liu and Jie Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Meina Kan

This figure shows the co-authorship network connecting the top 25 collaborators of Meina Kan. A scholar is included among the top collaborators of Meina Kan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meina Kan. Meina Kan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Meina Kan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meina Kan

Since Specialization
Citations

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