Jun Shao

194 papers and 6.5k indexed citations
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About

Jun Shao is a scholar working on Statistics and Probability, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Jun Shao has authored 194 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Statistics and Probability, 34 papers in Economics and Econometrics and 26 papers in Management Science and Operations Research. Recurrent topics in Jun Shao’s work include Statistical Methods and Inference (96 papers), Statistical Methods and Bayesian Inference (79 papers) and Statistical Methods in Clinical Trials (48 papers). Jun Shao is often cited by papers focused on Statistical Methods and Inference (96 papers), Statistical Methods and Bayesian Inference (79 papers) and Statistical Methods in Clinical Trials (48 papers). Jun Shao collaborates with scholars based in United States, China and Canada. Jun Shao's co-authors include Dongsheng Tu, Shein‐Chung Chow, Lianghu Wang, Jiahua Chen, Changbao Wu, Bob Zhong, J. N. K. Rao, Mari Palta, Bo Hu and Jiwei Zhao and has published in prestigious journals such as Journal of the American Statistical Association, Biochemical Journal and Journal of Cleaner Production.

In The Last Decade

Co-authorship network of co-authors of Jun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Shao. A scholar is included among the top collaborators of Jun Shao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Shao. Jun Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Shao

Since Specialization
Citations

This map shows the geographic impact of Jun Shao'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 Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shao 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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2026