Zhou Fan

35 papers and 242 indexed citations i.

About

Zhou Fan is a scholar working on Statistics and Probability, Artificial Intelligence and Neurology. According to data from OpenAlex, Zhou Fan has authored 35 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 7 papers in Neurology. Recurrent topics in Zhou Fan’s work include Random Matrices and Applications (11 papers), Vestibular and auditory disorders (7 papers) and Bayesian Methods and Mixture Models (6 papers). Zhou Fan is often cited by papers focused on Random Matrices and Applications (11 papers), Vestibular and auditory disorders (7 papers) and Bayesian Methods and Mixture Models (6 papers). Zhou Fan collaborates with scholars based in United States and China. Zhou Fan's co-authors include Andrea Montanari, Yihong Wu, Feng Gao, Shunyi Liao, Haibo Wang, Iain M. Johnstone, Leying Guan, Jiaming Xu, Yi Han and Mei Song and has published in prestigious journals such as Nature Genetics, Neuroscience and IEEE Transactions on Information Theory.

In The Last Decade

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

Fields of papers citing papers by Zhou Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhou Fan

Since Specialization
Citations

This map shows the geographic impact of Zhou Fan'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 Zhou Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhou Fan 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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2025