Mao Ye

266 papers and 4.1k indexed citations i.

About

Mao Ye is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Mao Ye has authored 266 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Computer Vision and Pattern Recognition, 77 papers in Artificial Intelligence and 31 papers in Media Technology. Recurrent topics in Mao Ye’s work include Domain Adaptation and Few-Shot Learning (32 papers), Video Surveillance and Tracking Methods (30 papers) and Advanced Neural Network Applications (29 papers). Mao Ye is often cited by papers focused on Domain Adaptation and Few-Shot Learning (32 papers), Video Surveillance and Tracking Methods (30 papers) and Advanced Neural Network Applications (29 papers). Mao Ye collaborates with scholars based in China, United States and Australia. Mao Ye's co-authors include Wang-Chien Lee, Dik Lun Lee, Peifeng Yin, Guihai Chen, Qihe Liu, Jie Wu, Ruigang Yang, Xingjie Liu, Xiatian Zhu and Xue Li and has published in prestigious journals such as Journal of Financial Economics, Review of Financial Studies and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Co-authorship network of co-authors of Mao Ye i

Fields of papers citing papers by Mao Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mao Ye

Since Specialization
Citations

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