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Hua Liang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 40 2033 1786 860 708 188 7428

Hua Liang publications per year

The chart shows the history of publications by Hua Liang between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Hua Liang published across 32 years, from 1994 to 2025, averaging 7.7 papers a year. Output peaked at 14 publications in 2011. 24 of the 247 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2011. 1994: 3 publications 1995: 4 publications 1996: 3 publications 1997: 9 publications 1998: 2 publications 1999: 5 publications 2000: 10 publications 2001: 0 publications 2002: 0 publications 2003: 6 publications 2004: 6 publications 2005: 6 publications 2006: 7 publications 2007: 7 publications 2008: 12 publications 2009: 10 publications 2010: 10 publications 2011: 14 publications 2012: 9 publications 2013: 11 publications 2014: 11 publications 2015: 7 publications 2016: 8 publications 2017: 6 publications 2018: 7 publications 2019: 12 publications 2020: 10 publications 2021: 9 publications 2022: 11 publications 2023: 8 publications 2024: 13 publications 2025: 11 publications
1994 2025

247 publications in total across all disciplines

View publications per year as a table
Hua Liang: publications per year, 1994 to 2025
Year Publications
1994 3
1995 4
1996 3
1997 9
1998 2
1999 5
2000 10
2001 0
2002 0
2003 6
2004 6
2005 6
2006 7
2007 7
2008 12
2009 10
2010 10
2011 14
2012 9
2013 11
2014 11
2015 7
2016 8
2017 6
2018 7
2019 12
2020 10
2021 9
2022 11
2023 8
2024 13
2025 11
Total 247
Download as CSV

Hua Liang 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 Hua Liang sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 187–191 publications, is where this scientist sits. 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 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 188 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71 188
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

Hua Liang 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 Hua Liang sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 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: 40 D-Index — 45th percentile

45% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138 40
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99
Download as CSV

Research.com Recognitions

  • 2013 - Fellow of the American Statistical Association (ASA)

Overview

Hua Liang is affiliated with George Washington University in the United States, contributing extensively to the field of Mathematics, with a focus on subfields such as Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, and Genetics.

Their research encompasses several main topics including:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Statistical Methods in Clinical Trials
  • Bayesian Methods and Mixture Models
  • Probabilistic and Robust Engineering Design
  • Control Systems and Identification

Hua Liang has authored numerous papers, with notable recent publications including:

  • "SARS-CoV-2-specific T cells are rapidly expanded for therapeutic use and target conserved regions of the membrane protein," 2020, Blood
  • "Outcome of donor-derived TAA-T cell therapy in patients with high-risk or relapsed acute leukemia post allogeneic BMT," 2022, Blood Advances
  • "Simultaneous confidence intervals for ratios of means of zero-inflated log-normal populations," 2021, Journal of Statistical Computation and Simulation
  • "The impact of pre-existing HLA and red blood cell antibodies on transfusion support and engraftment in sickle cell disease after nonmyeloablative hematopoietic stem cell transplantation from HLA-matched sibling donors: A prospective, single-center, observational study," 2020, EClinicalMedicine
  • "Estimation and inference in partially functional linear regression with multiple functional covariates," 2020, Journal of Statistical Planning and Inference

Their work has appeared frequently in several publication venues, including:

  • Statistica Sinica
  • arXiv (Cornell University)
  • Blood
  • Statistics and Computing
  • SSRN Electronic Journal

Frequent collaborators in Hua Liang's research include:

  • Xinmin Li
  • Xinyu Zhang
  • Feifei Chen
  • Dalei Yu
  • Shunyao Wu

In recognition of their work in the field of statistics, Hua Liang was named a Fellow of the American Statistical Association in 2013.

Best Publications

  • Partially Linear Models

    Wolfgang Hardle;Hua LIang;Jiti Gao

  • Estimation in a semiparametric partially linear errors-in-variables model

    Hua Liang;Wolfgang Härdle;Raymond J. Carroll

  • Variable Selection in Semiparametric Regression Modeling.

    Runze Li;Hua Liang

  • Parameter Estimation for Differential Equation Models Using a Framework of Measurement Error in Regression Models

    Hua Liang;Hulin Wu

  • ESTIMATION AND TESTING FOR PARTIALLY LINEAR SINGLE-INDEX MODELS.

    Hua Liang;Xiang Liu;Runze Li;Chih Ling Tsai

  • Variable Selection for Partially Linear Models with Measurement Errors.

    Hua Liang;Runze Li

  • Optimal Weight Choice for Frequentist Model Average Estimators

    Hua Liang;Guohua Zou;Alan T. K. Wan;Xinyu Zhang

  • Safety and immunogenicity of a baculovirus-expressed hemagglutinin influenza vaccine: a randomized controlled trial.

    John J. Treanor;Gilbert M. Schiff;Frederick G. Hayden;Rebecca C. Brady

  • Focused information criterion and model averaging for generalized additive partial linear models

    Xinyu Zhang;Hua Liang

  • Optimal Model Averaging Estimation for Generalized Linear Models and Generalized Linear Mixed-Effects Models

    Xinyu Zhang;Dalei Yu;Guohua Zou;Hua Liang

  • Partially linear models with missing response variables and error-prone covariates

    Hua Liang;Suojin Wang;Raymond J. Carroll

  • A note on conditional AIC for linear mixed-effects models

    Hua Liang;Hulin Wu;Guohua Zou

  • The relationship between virologic and immunologic responses in AIDS clinical research using mixed-effects varying-coefficient models with measurement error.

    Hua Liang;Hulin Wu;Raymond J. Carroll

  • Estimation in Partially Linear Models With Missing Covariates

    Hua Liang;Suojin Wang;James M Robins;Raymond J Carroll

  • Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates

    Yong Zhou;Hua Liang

  • Quantile Regression Estimates for a Class of Linear and Partially Linear Errors-in-Variables Models

    Xuming He;Hua Liang

  • Estimation and Variable Selection for Semiparametric Additive Partial Linear Models (SS-09-140)

    Xiang Liu;Li Wang;Hua Liang

  • ESTIMATION AND VARIABLE SELECTION FOR GENERALIZED ADDITIVE PARTIAL LINEAR MODELS

    Li Wang;Xiang Liu;Hua Liang;Raymond J. Carroll

  • Additive Partial Linear Models with Measurement Errors

    Hua Liang;Sally W. Thurston;David Ruppert;Tatiyana Apanasovich

  • Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling

    Hulin Wu;Tao Lu;Hongqi Xue;Hua Liang

  • Estimation and variable selection for generalized additive partial linear models

    Li Wang;Xiang Liu;Hua Liang;Raymond J. Carroll

Frequent Co-Authors

Hulin Wu
Hulin Wu The University of Texas Health Science Center at Houston
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Raymond J. Carroll
Raymond J. Carroll Texas A&M University
David Ruppert
David Ruppert Cornell University
Jiti Gao
Jiti Gao Monash University
Lixing Zhu
Lixing Zhu Beijing Normal University
Robert J. Wilkinson
Robert J. Wilkinson The Francis Crick Institute
Runze Li
Runze Li Pennsylvania State University
John J. Treanor
John J. Treanor University of Rochester Medical Center
Mary Carrington
Mary Carrington Ragon Institute of MGH, MIT and Harvard

External Links

Personal website of Hua Liang Google Scholar page

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Exploring these related online degrees can enhance career flexibility and increase earning potential, making them excellent supplements to a foundation in mathematics.

Best Scientists Citing Hua Liang

Lixing Zhu

Lixing Zhu

Beijing Normal University

Publications: 32

Jiti Gao

Jiti Gao

Monash University

Publications: 31

Hulin Wu

Hulin Wu

The University of Texas Health Science Center at Houston

Publications: 30

Robin Wood

Robin Wood

University of Cape Town

Publications: 29

Raymond J. Carroll

Raymond J. Carroll

Texas A&M University

Publications: 28

Stephen D. Lawn

Stephen D. Lawn

London School of Hygiene & Tropical Medicine

Publications: 23

Runze Li

Runze Li

Pennsylvania State University

Publications: 21

Linda-Gail Bekker

Linda-Gail Bekker

University of Cape Town

Publications: 19

Gerda Claeskens

Gerda Claeskens

KU Leuven

Publications: 17

Wolfgang Karl Härdle

Wolfgang Karl Härdle

Humboldt-Universität zu Berlin

Publications: 14

Robert J. Wilkinson

Robert J. Wilkinson

The Francis Crick Institute

Publications: 13

Chih-Ling Tsai

Chih-Ling Tsai

University of California, Davis

Publications: 12

Rongling Wu

Rongling Wu

Pennsylvania State University

Publications: 12

Joseph L. Awange

Joseph L. Awange

Curtin University

Publications: 11

Shuangge Ma

Shuangge Ma

Yale University

Publications: 11

Gavin J. Churchyard

Gavin J. Churchyard

Aurum Institute

Publications: 11

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Xun Xu

University of Wollongong

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Charles B. Fleming

Charles B. Fleming

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Gary M. Cox

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John Westwick

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