Jun Shao
- Statistics and Probability top 0.05%
- Statistical Methods and Inference 104
- Statistical Methods and Bayesian Inference 87
- Statistical Methods in Clinical Trials 56
- Advanced Statistical Methods and Models 54
- Advanced Causal Inference Techniques 30
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- Advanced Statistical Process Monitoring 12
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- Optimal Experimental Design Methods 22
- Economics and Econometrics top 0.5%
- Energy, Environment, Economic Growth 15
- Computational Mathematics top 5%
- Co-authors
- Dongsheng TuShein‐Chung ChowHansheng WangLianghu WangJiahua ChenJ. N. K. RaoBob ZhongChangbao Wu
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- Statistics in Medicine (19 papers)Journal of Biopharmaceutical Statistics (16 papers)Journal of the American Statistical Association (16 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jun Shao
212 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 230
- Statistics and Probability 3.5k
- Statistics, Probability and Uncertainty 582
- Management Science and Operations Research 718
- Economics and Econometrics 1.4k
- Computational Mathematics 19
Countries citing papers authored by Jun Shao
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).
Fields of papers citing papers by Jun Shao
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.
Co-authorship network
The 25 scholars most cited alongside Jun Shao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 8 | |
| 4 | Digital economy, entrepreneurship and energy efficiencybreakdown → | 2023 | 190 |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 61 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 4 | |
| 12 | Discussion on driving scheme of ADCP current meter verification trailer | 2016 | 1 |
| 13 | Exploration the Reasons and Solutions for Cancer Overtreatment | 2013 | 2 |
| 14 | Random Group Variance Estimators for Survey Data with Random Hot Deck Imputation | 2011 | 1 |
| 15 | PSEUDO-R 2 IN LOGISTIC REGRESSION MODEL | 2006 | 104 |
| 16 | Calculation Methods for Settlements of Immersed Tunnels Induced by Tidal Load | 2003 | 8 |
| 17 | Design of Turndown Collar former by the Visual Basic | 2002 | 0 |
| 18 | Nearest Neighbor Imputation for Survey Data | 2000 | 194 |
| 19 | 1998 | 7 | |
| 20 | 1989 | 4 |
About Jun Shao
Jun Shao is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Management Science and Operations Research, Economics and Econometrics and General Dentistry, having authored 226 papers that have together received 8.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (104 papers), Statistical Methods and Bayesian Inference (87 papers), Statistical Methods in Clinical Trials (56 papers), Advanced Statistical Methods and Models (54 papers), Advanced Causal Inference Techniques (30 papers), Optimal Experimental Design Methods (22 papers), Energy, Environment, Economic Growth (15 papers) and Advanced Statistical Process Monitoring (12 papers). The work is most often cited by research in Statistics and Probability (3.5k citations), Statistics, Probability and Uncertainty (582 citations), Management Science and Operations Research (718 citations), Economics and Econometrics (1.4k citations) and Computational Mathematics (19 citations). Jun Shao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dongsheng Tu, Shein‐Chung Chow, Hansheng Wang, Lianghu Wang, Jiahua Chen, J. N. K. Rao, Bob Zhong, Changbao Wu, Mari Palta and R. R. Sitter. Their work appears in journals such as Statistics in Medicine, Journal of Biopharmaceutical Statistics, Journal of the American Statistical Association, The Annals of Statistics and Biometrika.
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.