2026 Jun Shao: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	50	1055	899	490	390	237	17035

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

1055

899

490

390

237

17035

Research.com Recognitions

1999 - Fellow of the American Statistical Association (ASA)

Overview

Jun Shao is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple fields, primarily focusing on mathematics and economics, econometrics, and finance.

The main fields of study covered by Jun Shao's work include:

Mathematics
Economics, Econometrics and Finance

Within these, their subfields of study incorporate:

Statistics and Probability
Economics and Econometrics
Renewable Energy, Sustainability and the Environment
Environmental Engineering
Finance

Jun Shao has contributed extensively across several topics, such as:

Statistical Methods and Inference
Energy, Environment, Economic Growth
Advanced Causal Inference Techniques
Statistical Methods and Bayesian Inference
Statistical Methods in Clinical Trials
Energy, Environment, and Transportation Policies
Environmental Impact and Sustainability

Their frequent publication venues highlight where much of their work has appeared:

Statistical Theory and Related Fields
SSRN Electronic Journal
Energy
arXiv (Cornell University)
Energy & Environment

Recent papers authored or coauthored by Jun Shao include:

"Digital economy, entrepreneurship and energy efficiency," 2023, Energy
"Does financial agglomeration promote the increase of energy efficiency in China?" 2020, Energy Policy
"Can embedding in global value chain drive green growth in China's manufacturing industry?" 2020, Journal of Cleaner Production
"Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," 2022, Energy
"Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization," 2021, The Annals of Statistics

The most frequent coauthors collaborating with Jun Shao are:

Lianghu Wang
Ting Ye
Yanyao Yi
Lei Wang
L. Wang

In 1999, Jun Shao received recognition as a Fellow of the American Statistical Association (ASA).

Best Publications

The jackknife and bootstrap

Jun Shao;Dongsheng Tu

3236
Citations
Linear Model Selection by Cross-validation

Jun Shao

2337
Citations
Sample Size Calculations in Clinical Research

Shein-Chung Chow;Jun Shao;Hansheng Wang

1913
Citations
AN ASYMPTOTIC THEORY FOR LINEAR MODEL SELECTION

Jun Shao

846
Citations
Sample Size Calculations in Clinical Research: Third Edition

Shein-Chung Chow;Jun Shao;Hansheng Wang;Yuliya Lokhnygina

471
Citations
Jackknife variance estimation with survey data under hot deck imputation

J. N. K. Rao;J. Shao

460
Citations
A General Theory for Jackknife Variance Estimation

Jun Shao;C. F. J. Wu

410
Citations
Nearest Neighbor Imputation for Survey Data

Jiahua Chen;Jun Shao

397
Citations
Bootstrap Model Selection

Jun Shao

380
Citations
Last observation carry-forward and last observation analysis

Jun Shao;Bob Zhong

305
Citations
Bootstrap for Imputed Survey Data

Jun Shao;Randy R. Sitter

302
Citations
Sparse linear discriminant analysis by thresholding for high dimensional data

Jun Shao;Yazhen Wang;Xinwei Deng;Sijian Wang

301
Citations
PSEUDO-R 2 IN LOGISTIC REGRESSION MODEL

Bo Hu;Jun Shao;Mari Palta

243
Citations
Statistical Methods for Handling Incomplete Data

Jae Kwang Kim;Jun Shao

192
Citations
Variance Estimation for Survey Data with Composite Imputation and Nonnegligible Sampling Fractions

Jun Shao;Philip Steel

183
Citations
An Instrumental Variable Approach for Identification and Estimation with Nonignorable Nonresponse

Sheng Wang;Jun Shao;Jae Kwang Kim

178
Citations
Estimation With Survey Data Under Nonignorable Nonresponse or Informative Sampling

Jing Qin;Denis Leung;Jun Shao

168
Citations
A theory for testing hypotheses under covariate-adaptive randomization

Jun Shao;Xinxin Yu;Bob Zhong

157
Citations
Jackknife Variance Estimation for Nearest-Neighbor Imputation

Jiahua Chen;Jun Shao

155
Citations
Semiparametric Pseudo-Likelihoods in Generalized Linear Models With Nonignorable Missing Data

Jiwei Zhao;Jun Shao

140
Citations

Frequent Co-Authors

Hansheng Wang Peking University

Mari Palta University of Wisconsin–Madison

J. N. K. Rao Carleton University

Jiahua Chen University of British Columbia

External Links

Personal website of Jun Shao Google Scholar page

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