World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
6133
World Ranking
2214
National Ranking
934

Jianguo Sun 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 Jianguo Sun 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: 227 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Jianguo Sun 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 Jianguo Sun 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: 39 D-Index — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Overview

Jianguo Sun is affiliated with the University of Missouri in the United States. Their research primarily focuses on mathematical and statistical methods, with a particular emphasis on statistics and probability. Their work extends into subfields such as economics and econometrics, artificial intelligence, genetics, and pulmonary and respiratory medicine.

The main areas of investigation in Jianguo Sun's scholarly contributions include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Statistical Distribution Estimation and Applications
  • Advanced Causal Inference Techniques
  • Bayesian Methods and Mixture Models
  • Advanced Statistical Methods and Models
  • Spatial and Panel Data Analysis

Jianguo Sun has published extensively in various academic journals. Key publication venues where their research appears with notable frequency include:

  • Statistics in Medicine
  • Computational Statistics & Data Analysis
  • Communication in Statistics- Theory and Methods
  • Lifetime Data Analysis
  • Journal of Applied Statistics

Among the recent papers attributed to Jianguo Sun are the following:

  • Variable selection for high-dimensional partly linear additive Cox model with application to Alzheimer's disease, 2020, Statistics in Medicine
  • A pairwise pseudo-likelihood approach for left-truncated and interval-censored data under the Cox model, 2020, Biometrics
  • Regression analysis of case-cohort studies in the presence of dependent interval censoring, 2020, Journal of Applied Statistics
  • Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring, 2020, Biometrics
  • A unified approach to variable selection for Cox's proportional hazards model with interval-censored failure time data, 2021, Statistical Methods in Medical Research

Jianguo Sun collaborates frequently with several researchers. Common coauthors include:

  • Shishun Zhao
  • Mingyue Du
  • Yichen Lou
  • Tao Hu
  • Liang Zhu

In addition to journal articles, Jianguo Sun has contributed to academic literature through book publications. Notably, a title published by Springer Nature is:

  • Emerging Topics in Modeling Interval-Censored Survival Data, 2022

Jianguo Sun's body of work revolves around the development and application of advanced statistical models, particularly in survival analysis and interval censoring. Their research integrates methodologies relevant to medical research and various applied statistical domains.

Best Publications

  • The Statistical Analysis of Interval-censored Failure Time Data

    Jianguo Sun

  • A non-parametric test for interval-censored failure time data with application to AIDS studies.

    Jianguo Sun

  • Introducing Ti3+ defects based on lattice distortion for enhanced visible light photoreactivity in TiO2 microspheres

    Yunfan Xu;Yunfan Xu;Sujuan Wu;Piaopiao Wan;Jianguo Sun

  • Interval-Censored Time-to-Event Data : Methods and Applications

    Ding-Geng (Din) Chen;Jianguo Sun;Karl E. Peace

  • A correlation principal component regression analysis of NIR data

    Jianguo Sun

  • Statistical Analysis of Panel Count Data

    Jianguo Sun;Xingqiu Zhao

  • Semiparametric regression analysis of longitudinal data with informative observation times

    Jianguo Sun;Do Hwan Park;Liuquan Sun;Xingqiu Zhao

  • A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data

    Qingning Zhou;Tao Hu;Jianguo Sun

  • The Analysis of Current Status Data on Point Processes

    Jianguo Sun;John D. Kalbfleisch

  • Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional‐Hazards Mixture Model

    Hong-Bin Fang;Gang Li;Jianguo Sun

  • Failure Mechanism and Interface Engineering for NASICON-Structured All-Solid-State Lithium Metal Batteries.

    Linchun He;Qiaomei Sun;Chao Chen;Jin An Sam Oh;Jin An Sam Oh

  • Regression Analysis of Longitudinal Data in the Presence of Informative Observation and Censoring Times

    Jianguo Sun;Liuquan Sun;Dandan Liu

  • Generalized log‐rank test for mixed interval‐censored failure time data

    Qiang Zhao;Jianguo Sun

  • Regression analysis of interval-censored failure time data with linear transformation models

    Zhigang Zhang;Liuquan Sun;Xingqiu Zhao;Jianguo Sun

  • A 2D multistage median filter to reduce random seismic noise

    Cai Liu;Yang Liu;Baojun Yang;Dian Wang

  • Sieve maximum likelihood regression analysis of dependent current status data

    Ling Ma;Tao Hu;Jianguo Sun

  • Statistical analysis of current status data with informative observation times.

    Zhigang Zhang;Jianguo Sun;Liuquan Sun

  • Generalized Log-Rank Tests for Interval-Censored Failure Time Data

    Jianguo Sun;Qiang Zhao;Xingqiu Zhao

  • Regression Parameter Estimation from Panel Counts

    X. Joan Hu;Jianguo Sun;Lee-Jen Wei

  • Empirical estimation of a distribution function with truncated and doubly interval-censored data and its application to AIDS studies.

    Jianguo Sun

  • Regression analysis of panel count data with dependent observation times.

    Jianguo Sun;Xingwei Tong;Xin He

  • Statistical analysis of NIR data : Data pretreatment

    Jianguo Sun

Frequent Co-Authors

Leslie L. Robison
Leslie L. Robison St. Jude Children's Research Hospital
Wendy Leisenring
Wendy Leisenring Fred Hutchinson Cancer Research Center
John D. Kalbfleisch
John D. Kalbfleisch University of Michigan–Ann Arbor
Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University
Stanley Pounds
Stanley Pounds St. Jude Children's Research Hospital
Melissa M. Hudson
Melissa M. Hudson St. Jude Children's Research Hospital
Peter B. Gilbert
Peter B. Gilbert Fred Hutchinson Cancer Research Center
Gary Stacey
Gary Stacey University of Missouri
Dong Xu
Dong Xu University of Missouri
Henry T. Nguyen
Henry T. Nguyen University of Missouri

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Mathematics in the USA opens doors to a wide range of related fields and career opportunities. For those interested in business applications, pursuing an online marketing degree can be a strategic choice, blending analytical skills with market insights to boost career prospects.

If you're looking to accelerate your career in management or entrepreneurship, exploring one year MBA programs provides a fast-track option. These programs are designed to equip you with essential business and leadership knowledge without an extended time commitment.

Many professionals further their education through MBAs and often wonder about credit transfers. Understanding how mba transfer credits work is crucial for making efficient use of prior coursework and reducing the time and cost of earning a degree.

On the data-driven front, combining mathematics with data science is highly valuable. Pursuing analytics masters programs equips students with the skills to analyze large datasets and make data-informed decisions, opening pathways in industries ranging from finance to technology.

Best Scientists Citing Jianguo Sun

Trending Scientists

Recently Published Articles