Jieru Mei

About

Jieru Mei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Jieru Mei has authored 8 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Jieru Mei’s work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Jieru Mei is often cited by papers focused on Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Human Pose and Action Recognition (3 papers). Jieru Mei collaborates with scholars based in United States, China and Australia. Jieru Mei's co-authors include Alan Yuille, Yongyi Lu, Yuyin Zhou, Qingyue Wei, Le Lü, Ehsan Adeli, Shaoting Zhang, Qihang Yu, Xianhang Li and Xiangde Luo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

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Fields of papers citing papers by Jieru Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jieru Mei

Since Specialization

Citations

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