Yu Zhou

108 papers and 2.6k indexed citations i.

About

Yu Zhou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yu Zhou has authored 108 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Yu Zhou’s work include Multimodal Machine Learning Applications (32 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Domain Adaptation and Few-Shot Learning (17 papers). Yu Zhou is often cited by papers focused on Multimodal Machine Learning Applications (32 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Domain Adaptation and Few-Shot Learning (17 papers). Yu Zhou collaborates with scholars based in China, United States and Australia. Yu Zhou's co-authors include Jun Yu, Dacheng Tao, Jianping Fan, Qi Tian, Yuhao Cui, Jun Yu, Qingming Huang, Jing Li, Yueting Zhuang and Ting Yu and has published in prestigious journals such as The Journal of Chemical Physics, American Economic Review and Macromolecules.

In The Last Decade

Co-authorship network of co-authors of Yu Zhou i

Fields of papers citing papers by Yu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Zhou

Since Specialization
Citations

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