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Feifang Hu 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 Feifang Hu 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+

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

Feifang Hu 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 Feifang Hu 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+

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

Research.com Recognitions

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

Overview

Feifang Hu is affiliated with George Washington University in the United States. Their research focuses primarily on the intersection of mathematics and statistics, with a specialization in statistical methods applied to clinical trials and experimental design.

The scientist has contributed extensively to fields including Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence, and Statistical Uncertainty. Their work covers key topics such as:

  • Statistical Methods in Clinical Trials
  • Advanced Causal Inference Techniques
  • Statistical Methods and Inference
  • Optimal Experimental Design Methods
  • Statistical Methods and Bayesian Inference
  • Health Systems, Economic Evaluations, Quality of Life
  • Bayesian Methods and Mixture Models

Feifang Hu has published in various scholarly venues, with several works appearing in the following journals:

  • Statistical Methods in Medical Research
  • Biometrics
  • Statistics in Medicine
  • arXiv (Cornell University)
  • Journal of the American Statistical Association

Their recent papers include:

  • On the Theory of Covariate-Adaptive Designs, 2020, arXiv (Cornell University)
  • Multi-arm covariate-adaptive randomization, 2022, Science China Mathematics
  • Balancing Unobserved Covariates With Covariate-Adaptive Randomized Experiments, 2020, Journal of the American Statistical Association
  • Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates, 2021, Statistical Methods in Medical Research
  • A New and Unified Family of Covariate Adaptive Randomization Procedures and Their Properties, 2022, Journal of the American Statistical Association

Collaboration is an aspect of their research activity, with frequent co-authors including Wei Ma, Zhang Li, Yichen Qin, Yang Liu, and Yang Li. These collaborative efforts reflect interconnected work within their subfields of expertise.

In recognition of their professional contributions, Feifang Hu was named a Fellow of the American Statistical Association in 2009.

Best Publications

  • The Theory of Response-Adaptive Randomization in Clinical Trials

    Feifang Hu;William F. Rosenberger

  • The Theory of Response-Adaptive Randomization in Clinical Trials: Hu/Response-Adaptive

    Feifang Hu;William F. Rosenberger

  • Asymptotic properties of doubly adaptive biased coin designs for multitreatment clinical trials

    Feifang Hu;Li-Xin Zhang

  • Optimality, Variability, Power

    Feifang Hu;William F Rosenberger

  • Markov Chain Marginal Bootstrap

    Xuming He;Feifang Hu

  • The weighted likelihood

    Feifang Hu;James V. Zidek

  • Implementing Optimal Allocation in Sequential Binary Response Experiments

    Yevgen Tymofyeyev;William F Rosenberger;Feifang Hu

  • Asymptotic properties of covariate-adjusted response-adaptive designs

    Li-Xin Zhang;Feifang Hu;Siu Hung Cheung;Wai Sum Chan

  • Asymptotics in randomized urn models

    Zhi-Dong Bai;Feifang Hu

  • Asymptotic Properties of Adaptive designs for Clinical Trials with delayed Response

    Z.D. Bai;Feifang Hu;William F. Rosenberger

  • Asymptotically best response-adaptive randomization procedures

    Feifang Hu;William F. Rosenberger;William F. Rosenberger;William F. Rosenberger;Li-Xin Zhang;Li-Xin Zhang

  • The estimating function bootstrap

    Feifang Hu;John D. Kalbfleisch

  • Asymptotic properties of covariate-adaptive randomization

    Yanqing Hu;Feifang Hu

  • Asymptotic theorems for urn models with nonhomogeneous generating matrices

    Z.D. Bai;Feifang Hu

  • Efficient randomized-adaptive designs

    Feifang Hu;Li Xin Zhang;Xuming He

  • Maximizing power and minimizing treatment failures in clinical trials.

    William F Rosenberger;Feifang Hu

  • Testing Hypotheses of Covariate-Adaptive Randomized Clinical Trials

    Wei Ma;Feifang Hu;Lixin Zhang

  • Asymptotic Properties of Covariate-Adjusted Adaptive Designs

    Li-Xin Zhang;Feifang Hu;Siu Hung Cheung;Wai Sum Chan

  • Adaptive randomization for clinical trials.

    William F Rosenberger;Oleksandr Sverdlov;Feifang Hu

  • Likelihood‐Based Inference

    Feifang Hu;William F. Rosenberger

Frequent Co-Authors

William F. Rosenberger
William F. Rosenberger George Mason University
Zhidong Bai
Zhidong Bai Northeast Normal University
James V. Zidek
James V. Zidek University of British Columbia
Xuming He
Xuming He Washington University in St. Louis
J. Jack Lee
J. Jack Lee The University of Texas MD Anderson Cancer Center
John D. Kalbfleisch
John D. Kalbfleisch University of Michigan–Ann Arbor

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