Yanan Fan

57 papers and 1.7k indexed citations i.

About

Yanan Fan is a scholar working on Statistics and Probability, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Yanan Fan has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 20 papers in Artificial Intelligence and 10 papers in Global and Planetary Change. Recurrent topics in Yanan Fan’s work include Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Inference (14 papers) and Markov Chains and Monte Carlo Methods (10 papers). Yanan Fan is often cited by papers focused on Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Inference (14 papers) and Markov Chains and Monte Carlo Methods (10 papers). Yanan Fan collaborates with scholars based in Australia, United States and South Korea. Yanan Fan's co-authors include Rob J. Hyndman, Scott A. Sisson, Mark M. Tanaka, David J. Nott, Laura J. Shepherd, Eve Slavich, David J. Waters, R. Julian R. Abel, Emma L. Johnston and Margaret R. Stone and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Yanan Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yanan Fan

Since Specialization
Citations

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