Tao Mei

78 papers and 2.0k indexed citations i.

About

Tao Mei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Tao Mei has authored 78 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 8 papers in Control and Systems Engineering. Recurrent topics in Tao Mei’s work include Multimodal Machine Learning Applications (20 papers), Domain Adaptation and Few-Shot Learning (19 papers) and Human Pose and Action Recognition (17 papers). Tao Mei is often cited by papers focused on Multimodal Machine Learning Applications (20 papers), Domain Adaptation and Few-Shot Learning (19 papers) and Human Pose and Action Recognition (17 papers). Tao Mei collaborates with scholars based in China, United States and Hong Kong. Tao Mei's co-authors include Ting Yao, Yingwei Pan, Yalong Bai, Wei Zhang, Wu Liu, Yue Chen, Yu Sun, Yitian Yuan, Wenwu Zhu and Hailin Shi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

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

Fields of papers citing papers by Tao Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tao Mei

Since Specialization
Citations

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