World's Best Scientists 2026 revealed!
Zhaojun Wang

Zhaojun Wang

D-Index & Metrics

Mathematics

D-Index
37
Citations
5269
World Ranking
2523
National Ranking
129

Zhaojun Wang publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Zhaojun Wang sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 106 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Zhaojun Wang D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Zhaojun Wang sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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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