World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
8538
World Ranking
2440
National Ranking
95

Jiahua Chen 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 Jiahua Chen 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: 125 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Jiahua Chen 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 Jiahua Chen 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.

Research.com Recognitions

  • 2009 - Fellow of the American Statistical Association (ASA)

Overview

Jiahua Chen is affiliated with the University of British Columbia in Canada. Their research spans multiple fields with a strong focus on mathematics and computer science, particularly in statistics and probability, artificial intelligence, cancer research, molecular biology, and immunology.

The scientist has contributed broadly to topics including Bayesian methods and mixture models, statistical methods and Bayesian inference, statistical methods and inference, statistical distribution estimation and applications, cancer-related molecular mechanisms research, Gaussian processes and Bayesian inference, and advanced statistical methods and models.

Some frequent coauthors in Chen's collaborations are Archer Gong Zhang, Junhui Zhang, Bao Guo, Lei Zhan, and Yunxia Cao.

The publication record includes papers in various venues, most notably arXiv (Cornell University) with 11 publications, International Journal of Gynecological Cancer and Canadian Journal of Statistics with 2 publications each, Scientific Reports with 2 publications, and the Proceedings of the International Conference on Statistics, Theory and Applications (ICSTA) with 2 publications.

Selected recent papers include:

  • Comparison of laparoscopic and open radical hysterectomy in cervical cancer patients with tumor size ≤2 cm, 2020, International Journal of Gynecological Cancer
  • Identification and validation of a six-gene signature associated with glycolysis to predict the prognosis of patients with cervical cancer, 2020, BMC Cancer
  • METTL3 facilitates immunosurveillance by inhibiting YTHDF2-mediated NLRC5 mRNA degradation in endometrial cancer, 2023, Biomarker Research
  • Integrating environmental and satellite data to estimate county-level cotton yield in Xinjiang Province, 2023, Frontiers in Plant Science
  • Recent Insights into Noncoding RNAs in Primary Ovarian Insufficiency: Focus on Mechanisms and Treatments, 2023, The Journal of Clinical Endocrinology & Metabolism

Chen has also authored books published by Springer Nature, including "Statistical Inference Under Mixture Models" (2023) and "Advances and Innovations in Statistics and Data Science" (2022).

Among professional recognitions, Chen was named a Fellow of the American Statistical Association (ASA) in 2009.

Best Publications

  • Extended Bayesian information criteria for model selection with large model spaces

    Jiahua Chen;Zehua Chen

  • Nearest Neighbor Imputation for Survey Data

    Jiahua Chen;Jun Shao

  • A catalogue of two-level and three-level fractional factorial designs with small runs

    Jiahua Chen;D. X. Sun;C. F. J. Wu

  • A modified likelihood ratio test for homogeneity in finite mixture models

    Hanfeng Chen;Jiahua Chen;John D. Kalbfleisch

  • Empirical likelihood estimation for finite populations and the effective usage of auxiliary information

    Jiahua Chen;Jing Qin

  • Variable Selection in Finite Mixture of Regression Models

    Abbas Khalili;Jiahua Chen

  • Optimal Rate of Convergence for Finite Mixture Models

    Jiahua Chen

  • A PSEUDO EMPIRICAL LIKELIHOOD APPROACH TO THE EFFECTIVE USE OF AUXILIARY INFORMATION IN COMPLEX SURVEYS

    Jiahua Chen;R. R. Sitter

  • EXTENDED BIC FOR SMALL-n-LARGE-P SPARSE GLM

    Jiahua Chen;Zehua Chen

  • Adjusted Empirical Likelihood and its Properties

    Jiahua Chen;Asokan Mulayath Variyath;Bovas Abraham

  • Hypothesis test for normal mixture models: The EM approach

    Jiahua Chen;Pengfei Li

  • Using empirical likelihood methods to obtain range restricted weights in regression estimators for surveys

    J. Chen;R. R. Sitter;C. Wu

  • Testing for a finite mixture model with two components

    Hanfeng Chen;Jiahua Chen;John D. Kalbfleisch

  • Jackknife Variance Estimation for Nearest-Neighbor Imputation

    Jiahua Chen;Jun Shao

  • Penalized minimum‐distance estimates in finite mixture models

    Jiahua Chen;J.D. Kalbfleisch

  • Fractional resolution and minimum aberration in blocked 2 n−k designs

    Randy R. Sitter;Jiahua Chen;Moshe Feder

  • INFERENCE FOR NORMAL MIXTURES IN MEAN AND VARIANCE

    Jiahua Chen;Xianming Tan;Runchu Zhang

  • The likelihood ratio test for homogeneity in finite mixture models

    Hanfeng Chen;Jiahua Chen

  • Some Results on $2^{n - k}$ Fractional Factorial Designs and Search for Minimum Aberration Designs

    Jiahua Chen

  • Non-finite Fisher information and homogeneity: an em approach

    P. Li;J. Chen;P. Marriott

Frequent Co-Authors

John D. Kalbfleisch
John D. Kalbfleisch University of Michigan–Ann Arbor
James V. Zidek
James V. Zidek University of British Columbia
J. N. K. Rao
J. N. K. Rao Carleton University
Dennis K. J. Lin
Dennis K. J. Lin Purdue University West Lafayette
Jun Shao
Jun Shao University of Wisconsin–Madison
Rollin Brant
Rollin Brant University of British Columbia
Jeffrey A. Lieberman
Jeffrey A. Lieberman Columbia University
Martin Styner
Martin Styner University of North Carolina at Chapel Hill
Bing-Yi Jing
Bing-Yi Jing Hong Kong University of Science and Technology

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