Enmei Tu

About

Enmei Tu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Enmei Tu has authored 22 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Enmei Tu’s work include Face and Expression Recognition (6 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (4 papers). Enmei Tu is often cited by papers focused on Face and Expression Recognition (6 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (4 papers). Enmei Tu collaborates with scholars based in China, New Zealand and Australia. Enmei Tu's co-authors include Jie Yang, Guang-Bin Huang, Lily Rachmawati, Eshan Rajabally, Guanghao Zhang, Nikola Kasabov, Keren Fu, Chen Gong, Tongliang Liu and Dacheng Tao and has published in prestigious journals such as Information Sciences, IEEE Transactions on Fuzzy Systems and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Enmei Tu i

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Fields of papers citing papers by Enmei Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Enmei Tu

Since Specialization

Citations

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