Mingyuan Zhou

About

Mingyuan Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Mingyuan Zhou has authored 92 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 12 papers in Statistics and Probability. Recurrent topics in Mingyuan Zhou’s work include Bayesian Methods and Mixture Models (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Topic Modeling (12 papers). Mingyuan Zhou is often cited by papers focused on Bayesian Methods and Mixture Models (16 papers), Domain Adaptation and Few-Shot Learning (14 papers) and Topic Modeling (12 papers). Mingyuan Zhou collaborates with scholars based in United States, China and United Kingdom. Mingyuan Zhou's co-authors include Lawrence Carin, Guillermo Sapiro, John Paisley, Zhengming Xing, David B. Dunson, Lu Ren, Lingbo Li, Bo Chen, Xiaoning Qian and Yulai Cong and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

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

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Fields of papers citing papers by Mingyuan Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mingyuan Zhou

Since Specialization

Citations

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