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Zhaojun Wang

Zhaojun Wang

D-Index & Metrics

Mathematics

D-Index
37
Citations
5269
World Ranking
2522
National Ranking
130

Overview

Zhaojun Wang is affiliated with Nankai University in China and has a body of research primarily in the field of Mathematics, with a strong focus on Statistics and Probability. Their work spans several specialized areas including Statistical Methods and Inference, Advanced Statistical Methods and Models, Advanced Statistical Process Monitoring, Statistical Methods and Bayesian Inference, Statistical Methods in Clinical Trials, COVID-19 epidemiological studies, and Mathematical and Theoretical Epidemiology and Ecology Models.

Wang has contributed extensively to research published in various academic venues. Frequent publication outlets include arXiv (Cornell University), Stat, SSRN Electronic Journal, Journal of Systems Science and Complexity, and Infectious Disease Modelling.

Their recent papers illustrate a range of topics and methodologies:

  • COVID-19 transmission driven by age-group mathematical model in Shijiazhuang City of China (2023, Infectious Disease Modelling)
  • Remedial approaches to decrease the effect of measurement errors on polynomial profile monitoring (2023, Communications in Statistics - Simulation and Computation)
  • Spatial-sign-based high-dimensional white noises test (2024, Statistical Theory and Related Fields)
  • Novel genes involved in vascular dysfunction of the middle temporal gyrus in Alzheimer's disease: transcriptomics combined with machine learning analysis (2024, Neural Regeneration Research)
  • Monitoring of Linear Profiles Using Linear Mixed Model in the Presence of Measurement Errors (2022, Mathematics)

Co-authorship is an important aspect of Wang's research collaboration. Frequent co-authors include Long Feng, Wenhui Liu, Ping Zhao, Changliang Zou, and Dachuan Chen.

The main fields of study covered by Wang emphasize Mathematics, notably in Statistics and Probability, with significant contributions to subfields like Modeling and Simulation and Artificial Intelligence. Their research intersects with topics relevant to public health and epidemiology, particularly in studies of COVID-19 transmission and mathematical epidemiology models.

Best Publications

  • Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes

    Changliang Zou;Fugee Tsung;Zhaojun Wang

  • CONTROL CHART BASED ON CHANGE-POINT MODEL FOR MONITORING LINEAR PROFILES

    C Zou;Y Zhang

  • Nonparametric profile monitoring by mixed effects modeling

    Peihua Qiu;Changliang Zou;Zhaojun Wang

  • A field study of the thermal comfort in residential buildings in Harbin

    Zhaojun Wang

  • An enhanced adaptive CUSUM control chart

    Zhang Wu;Jianxin Jiao;Mei Yang;Ying Liu

  • Monitoring Profiles Based on Nonparametric Regression Methods

    Changliang Zou;Fugee Tsung;Zhaojun Wang

  • Control chart based on likelihood ratio for monitoring linear profiles

    Jiujun Zhang;Zhonghua Li;Zhaojun Wang

  • Nonparametric maximum likelihood approach to multiple change-point problems

    Changliang Zou;Guosheng Yin;Long Feng;Zhaojun Wang

  • Dual CUSUM control schemes for detecting a range of mean shifts

    Yi Zhao;Fugee Tsung;Zhaojun Wang

  • A self-starting control chart for linear profiles

    Changliang Zou;Chunguang Zhou;Zhaojun Wang;Fugee Tsung

  • Nonparametric control chart based on change-point model

    Chunguang Zhou;Changliang Zou;Yujuan Zhang;Zhaojun Wang

  • Multi-objective optimization of building design for life cycle cost and CO2 emissions: A case study of a low-energy residential building in a severe cold climate

    Qingwen Xue;Qingwen Xue;Zhaojun Wang;Qingyan Chen

  • A spatial rank‐based multivariate EWMA control chart

    Changliang Zou;Zhaojun Wang;Fugee Tsung

  • An Efficient Online Monitoring Method for High-Dimensional Data Streams

    Changliang Zou;Zhaojun Wang;Xuemin Zi;Wei Jiang

  • A multivariate control chart for simultaneously monitoring process mean and variability

    Jiujun Zhang;Zhonghua Li;Zhaojun Wang

  • Likelihood-based EWMA charts for monitoring Poisson count data with time-varying sample sizes

    Qin Zhou;Changliang Zou;Zhaojun Wang;Wei Jiang

  • A new exponentially weighted moving average control chart for monitoring the coefficient of variation

    Jiujun Zhang;Zhonghua Li;Bin Chen;Zhaojun Wang

  • Adaptive CUSUM control chart with variable sampling intervals

    Yunzhao Luo;Zhonghua Li;Zhaojun Wang

  • The computation of average run length and average time to signal: an overview

    Zhonghua Li;Changliang Zou;Zhen Gong;Zhaojun Wang

  • Outlier detection for high-dimensional data

    Kwangil Ro;Changliang Zou;Zhaojun Wang;Guosheng Yin

  • A self-starting control chart for linear profiles

    Changliang Zou;Chunguang Zhou;Zhaojun Wang

Frequent Co-Authors

Changliang Zou
Changliang Zou Nankai University
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Peihua Qiu
Peihua Qiu University of Florida
Guosheng Yin
Guosheng Yin University of Hong Kong
Lixing Zhu
Lixing Zhu Beijing Normal University
Yingxin Zhu
Yingxin Zhu Tsinghua University
Kwok Wai Tham
Kwok Wai Tham National University of Singapore
Stefano Schiavon
Stefano Schiavon University of California, Berkeley
Jørn Toftum
Jørn Toftum Technical University of Denmark
Jing Liu
Jing Liu Chinese Academy of Sciences

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