Jun Shao

7 papers and 570 indexed citations i.

About

Jun Shao is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Jun Shao has authored 7 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Statistics, Probability and Uncertainty and 1 paper in Management Science and Operations Research. Recurrent topics in Jun Shao’s work include Survey Sampling and Estimation Techniques (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Advanced Statistical Process Monitoring (2 papers). Jun Shao is often cited by papers focused on Survey Sampling and Estimation Techniques (2 papers), Statistical Methods and Bayesian Inference (2 papers) and Advanced Statistical Process Monitoring (2 papers). Jun Shao collaborates with scholars based in United States and Canada. Jun Shao's co-authors include Shein‐Chung Chow, Yuliya Lokhnygina, Hansheng Wang and Jae Kwang Kim and has published in prestigious journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series C (Applied Statistics) and Quality Engineering.

In The Last Decade

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

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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