Jun Shao

12.8k citations
223 papers · 8.8k · 4 hit papers · h-index 38

Impact in

Papers in

    • 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
    • Energy, Environment, Economic Growth 15

Jun Shao

210 papers receiving 8.2k citations

Jun Shao's Hit Papers

Digital economy, entrepreneurship and energy efficiency 2023 · 206 citations
2060+11+22Years since publication4008001.2k

Peers

Jun Shao
Comparison fields: 5 of 223
  • Statistics and Probability 3.5k
  • Statistics, Probability and Uncertainty 552
  • Management Science and Operations Research 716
  • Economics and Econometrics 1.4k
  • Computational Mathematics 21
Replace Ryan J. Tibshirani with:
Ryan J. Tibshirani United States
Roy E. Welsch United States
David Madigan United States
Edward I. George United States
Peter Hall Australia
Ali S. Hadi United States
C. Radhakrishna Rao United States
Robert E. McCulloch United States
M. P. Wand Australia
Robb J. Muirhead United States
Jun Shao relative to Ryan J. Tibshirani United States Ryan J. Tibshirani's profile →
Citations per field
00.5×1.5×2.1×
Ryan J. Tibshirani · 1×
Citations per year

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).

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.

Co-authors

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.

Border = papers with Jun Shao Line = papers co-authored together Jun Shao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Jackknife and Bootstrap
Hit paper breakdown →
19951412
2
Linear Model Selection by Cross-validation
Hit paper breakdown →
19931269
3
Sample Size Calculations in Clinical Research
Hit paper breakdown →
2003635
4 2007413
5
AN ASYMPTOTIC THEORY FOR LINEAR MODEL SELECTION
1997315
6
Digital economy, entrepreneurship and energy efficiency
Hit paper breakdown →
2023206
7 2003204
8 1989203
9
Nearest Neighbor Imputation for Survey Data
2000195
10 1992172
11 2020166
12
Sparse linear discriminant analysis by thresholding for high dimensional data
2012137
13 1996119
14 2020106
15
PSEUDO-R 2 IN LOGISTIC REGRESSION MODEL
2006105
16 2022102
17 2013100
18 200288
19 201685
20 201483

About Jun Shao

Jun Shao is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 223 papers that have together received 8.8k 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 Bayesian Methods and Mixture Models (12 papers). The work is most often cited by research in Statistics and Probability (3.5k citations), Statistics, Probability and Uncertainty (552 citations), Management Science and Operations Research (716 citations), Economics and Econometrics (1.4k citations) and Computational Mathematics (21 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, Bob Zhong, J. N. K. Rao, 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 Statistica Sinica.

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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