World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
61
Citations
16822
World Ranking
510
National Ranking
269

Zhiliang Ying 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 Zhiliang Ying 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: 82 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: 184 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Zhiliang Ying 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 Zhiliang Ying 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: 137 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: 61 D-Index — 86th percentile

86% 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

  • 1999 - Fellow of the American Statistical Association (ASA)

Overview

Zhiliang Ying is affiliated with Columbia University in the United States and has an extensive body of research primarily in computer science and mathematics, with a strong emphasis on statistical methods. Their work spans various subfields, notably statistics and probability, artificial intelligence, management science and operations research, statistical and nonlinear physics, and computer networks and communications.

The main research topics addressed by Ying include psychometric methodologies and testing, statistical methods and inference, statistical methods and Bayesian inference, advanced statistical modeling techniques, advanced causal inference techniques, intelligent tutoring systems and adaptive learning, and advanced statistical methods and models.

Zhiliang Ying has published numerous papers in prominent journals and venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Psychometrika
  • British Journal of Mathematical and Statistical Psychology
  • Statistica Sinica
  • Statistical Science

Some recent papers authored or co-authored by Ying are:

  • Latent Feature Extraction for Process Data via Multidimensional Scaling, 2020, Psychometrika
  • An exploratory analysis of the latent structure of process data via action sequence autoencoders, 2020, British Journal of Mathematical and Statistical Psychology
  • Accurate Assessment via Process Data, 2022, Psychometrika
  • A latent topic model with Markov transition for process data, 2020, British Journal of Mathematical and Statistical Psychology
  • Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement, 2021, arXiv (Cornell University)

Zhiliang Ying has collaborated frequently with several coauthors. The most frequent among them are:

  • Jingchen Liu
  • Susu Zhang
  • Xueying Tang
  • Guanhua Fang
  • Xin Xu

In recognition of contributions to the field, Ying was named a Fellow of the American Statistical Association (ASA) in 1999.

Best Publications

  • Checking the Cox model with cumulative sums of martingale-based residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • Semiparametric regression for the mean and rate functions of recurrent events

    D. Y. Lin;L. J. Wei;I. Yang;Z. Ying

  • Semiparametric analysis of the additive risk model

    D. Y. Lin;Zhiliang Ying

  • Analysis of transformation models with censored data

    S. C. Cheng;L. J. Wei;Z. Ying

  • A Global Information Approach to Computerized Adaptive Testing

    Hua Hua Chang;Zhiliang Ying

  • Rank-based inference for the accelerated failure time model

    Zhezhen Jin;D. Y. Lin;L. J. Wei;Zhiliang Ying

  • a-Stratified Multistage Computerized Adaptive Testing

    Hua Hua Chang;Zhiliang Ying

  • Survival analysis with median regression models

    Z. Ying;S. H. Jung;L. J. Wei

  • Semiparametric analysis of transformation models with censored data

    Kani Chen;Zhezhen Jin;Zhiliang Ying

  • A Large Sample Study of Rank Estimation for Censored Regression Data

    Zhiliang Ying

  • A resampling method based on pivotal estimating functions

    M. I. Parzen;L. J. Wei;Z. Ying

  • Semiparametric and Nonparametric Regression Analysis of Longitudinal Data

    D. Y Lin;Z Ying

  • Cox Regression with Incomplete Covariate Measurements

    Danyu Lin;Z. Ying

  • Model‐Checking Techniques Based on Cumulative Residuals

    D. Y. Lin;L. J. Wei;Z. Ying

  • Linear regression analysis of censored survival data based on rank tests

    L. J. Wei;Z. Ying;Danyu Lin

  • A simple resampling method by perturbing the minimand

    Zhezhen Jin;Zhiliang Ying;L. J. Wei

  • Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data

    Tze Leung Lai;Zhiliang Ying

  • Nonparametric estimation of the gap time distributions for serial events with censored data

    D. Y. Lin;W. Sun;Zhiliang Ying

  • Additive hazards regression with current status data

    Danyu Lin;David Oakes;Zhiliang Ying

  • Estimating a distribution function with truncated and censored data

    Tze Leung Lai;Zhiliang Ying

  • On least-squares regression with censored data

    Zhezhen Jin;D. Y. Lin;Zhiliang Ying

Frequent Co-Authors

Danyu Lin
Danyu Lin University of North Carolina at Chapel Hill
Lee-Jen Wei
Lee-Jen Wei Harvard University
Tze Leung Lai
Tze Leung Lai Stanford University
Steven B. Heymsfield
Steven B. Heymsfield Pennington Biomedical Research Center
David M. Goldenberg
David M. Goldenberg Immunomedics (United States)
Robert M. Sharkey
Robert M. Sharkey University of Fukui
Cun-Hui Zhang
Cun-Hui Zhang Rutgers, The State University of New Jersey
Xi Chen
Xi Chen Columbia University
Jurg Ott
Jurg Ott Rockefeller University
Ivan D. Horak
Ivan D. Horak Freie Universität Berlin

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

For students pursuing Mathematics in the USA, branching into related fields can open diverse career opportunities. One popular direction is digital marketing, where a specialized ms in digital marketing degree cost usa offers an affordable path to combining analytical skills with business strategies.

Many professionals also consider advancing their education through business programs. The best 1 year mba programs provide an accelerated way to gain leadership and management skills, ideal for those looking to transition quickly into executive roles.

Flexibility is key for working students, which is why the ability to can you transfer mba credits between institutions is a significant consideration. This option helps save time and tuition costs while maintaining academic progress.

Additionally, the growing field of data science closely aligns with mathematics, making data analysis programs a natural extension for those interested in applying quantitative skills to real-world problems. These degrees enhance employability across industries including finance, healthcare, and technology.

Best Scientists Citing Zhiliang Ying

Trending Scientists

Recently Published Articles