World's Best Scientists 2026 revealed!
Hansheng Wang

Hansheng Wang

D-Index & Metrics

Computer Science

D-Index
30
Citations
7115
World Ranking
13865
National Ranking
1680

Mathematics

D-Index
34
Citations
9710
World Ranking
2844
National Ranking
142

Overview

Hansheng Wang is affiliated with Peking University in China and focuses their research primarily within the field of Computer Science. Their work spans several subfields including Artificial Intelligence, Statistics and Probability, Economics and Econometrics, Computer Vision and Pattern Recognition, and Statistical and Nonlinear Physics.

The topics covered in Wang's publications address various aspects of statistical methods and inference, spatial and panel data analysis, complex network analysis techniques, and Bayesian methodologies. Specific research interests also include stochastic gradient optimization techniques and face and expression recognition.

Recent papers authored or co-authored by Wang include:

  • A review of distributed statistical inference, 2021, Statistical Theory and Related Fields
  • 3D model-based terrestrial laser scanning (TLS) observation network planning for large-scale building facades, 2022, Automation in Construction
  • Two-mode network autoregressive model for large-scale networks, 2020, Journal of Econometrics
  • A Note on Distributed Quantile Regression by Pilot Sampling and One-Step Updating, 2021, Journal of Business and Economic Statistics
  • Complexities of the Turkey-Syria doublet earthquake sequence, 2023, The Innovation

Wang frequently collaborates with a number of co-authors, including Xuening Zhu, Rui Pan, Feifei Wang, Danyang Huang, and Yuan Gao.

Their publications appear predominantly in venues such as arXiv (Cornell University), Statistics and Its Interface, Journal of Business and Economic Statistics, Journal of Computational and Graphical Statistics, and Journal of Data Science.

Best Publications

  • Sample Size Calculations in Clinical Research

    Shein-Chung Chow;Jun Shao;Hansheng Wang

  • Tuning parameter selectors for the smoothly clipped absolute deviation method.

    Hansheng Wang;Runze Li;Chih Ling Tsai

  • Robust Regression Shrinkage and Consistent Variable Selection Through the LAD-Lasso

    Hansheng Wang;Guodong Li;Guohua Jiang

  • Shrinkage tuning parameter selection with a diverging number of parameters

    Hansheng Wang;Bo Li;Chenlei Leng

  • Sample Size Calculations in Clinical Research: Third Edition

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

  • Subgroup Analysis via Recursive Partitioning

    Xiaogang Su;Chih-Ling Tsai;Hansheng Wang;David M. Nickerson

  • Unified LASSO Estimation by Least Squares Approximation

    Hansheng Wang;Chenlei Leng

  • Forward Regression for Ultra-High Dimensional Variable Screening

    Hansheng Wang

  • A note on adaptive group lasso

    Hansheng Wang;Chenlei Leng

  • Regression coefficient and autoregressive order shrinkage and selection via the lasso

    Hansheng Wang;Guodong Li;Chih-Ling Tsai

  • Shrinkage Estimation of the Varying Coefficient Model

    Hansheng Wang;Yingcun Xia

  • Network vector autoregression

    Xuening Zhu;Rui Pan;Guodong Li;Yuewen Liu

  • Sliced Regression for Dimension Reduction

    Hansheng Wang;Yingcun Xia

  • On sample size calculation in bioequivalence trials

    Shein-Chung Chow;Hansheng Wang

  • Tail Index Regression

    Hansheng Wang;Chih-Ling Tsai

  • Covariance Regression Analysis

    Tao Zou;Wei Lan;Hansheng Wang;Chih-Ling Tsai

  • Sample Size Calculation for Comparing Proportions

    Hansheng Wang;Shein‐Chung Chow

  • Factor profiled sure independence screening

    H. Wang

  • NONPARAMETRIC COVARIANCE MODEL.

    Jianxin Yin;Zhi Geng;Runze Li;Hansheng Wang

  • Network quantile autoregression

    Xuening Zhu;Weining Wang;Weining Wang;Hangsheng Wang;Wolfgang Karl Härdle;Wolfgang Karl Härdle

  • Feature Screening for Ultrahigh Dimensional Categorical Data With Applications

    Danyang Huang;Runze Li;Hansheng Wang

Frequent Co-Authors

Chih-Ling Tsai
Chih-Ling Tsai University of California, Davis
Jun Shao
Jun Shao University of Wisconsin–Madison
Runze Li
Runze Li Pennsylvania State University
Qiwei Yao
Qiwei Yao London School of Economics and Political Science
Hao Helen Zhang
Hao Helen Zhang University of Arizona
Lexin Li
Lexin Li University of California, Berkeley
Hua Liang
Hua Liang George Washington University
Qiming Zhang
Qiming Zhang Pennsylvania State University
Jiankang Liu
Jiankang Liu Xi'an Jiaotong University

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