Jun Yan

141 papers and 5.0k indexed citations i.

About

Jun Yan is a scholar working on Statistics and Probability, Finance and Global and Planetary Change. According to data from OpenAlex, Jun Yan has authored 141 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Statistics and Probability, 25 papers in Finance and 22 papers in Global and Planetary Change. Recurrent topics in Jun Yan’s work include Statistical Methods and Bayesian Inference (44 papers), Statistical Methods and Inference (39 papers) and Financial Risk and Volatility Modeling (22 papers). Jun Yan is often cited by papers focused on Statistical Methods and Bayesian Inference (44 papers), Statistical Methods and Inference (39 papers) and Financial Risk and Volatility Modeling (22 papers). Jun Yan collaborates with scholars based in United States, China and Canada. Jun Yan's co-authors include Ulrich Halekoh, Søren Højsgaard, Ivan Kojadinovic, Jason P. Fine, Robert H. Aseltine, Xuebin Zhang, Mekonnen Gebremichael, Sy Han Chiou, Daniel C.R. Chen and Elizabeth D. Schifano and has published in prestigious journals such as Journal of the American Statistical Association, Ecology and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Jun Yan i

Fields of papers citing papers by Jun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Yan

Since Specialization
Citations

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