World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
59
Citations
30029
World Ranking
572
National Ranking
296

Runze Li 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 Runze Li 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: 272 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Runze Li 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 Runze Li 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: 59 D-Index — 84th percentile

84% 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

  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - Fellow of the American Statistical Association (ASA)

Overview

Runze Li is affiliated with Pennsylvania State University in the United States. Their recent research contributions span various scientific domains, particularly focusing on molecular biology and advanced materials science.

Runze Li has published several papers in notable venues, including:

  • Understanding the structure-performance relationship of active sites at atomic scale, 2022, Nano Research
  • Superiority of Dual-Atom Catalysts in Electrocatalysis: One Step Further Than Single-Atom Catalysts, 2022, Advanced Energy Materials
  • Polystyrene Waste Thermochemical Hydrogenation to Ethylbenzene by a N-Bridged Co, Ni Dual-Atom Catalyst, 2023, Journal of the American Chemical Society

The scientist has collaborated frequently with:

  • Elaine Lai-Han Leung
  • Peiyu Yan
  • Songshan Yang
  • Megan E. Piper
  • Changcheng Li

Runze Li's work is published across several frequently appearing venues, including:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • SSRN Electronic Journal
  • The Annals of Statistics
  • Journal of Econometrics

The scientist's range of subfields includes:

  • Statistics and Probability
  • Molecular Biology
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Runze Li's research covers multiple main topics, such as:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Advanced Causal Inference Techniques
  • Random Matrices and Applications
  • Behavioral Health and Interventions

Runze Li has received recognition in the form of fellowships from prominent scientific associations, including:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2017
  • Fellow of the American Statistical Association (ASA), 2011

Best Publications

  • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties

    Jianqing Fan;Runze Li

  • Design and Modeling for Computer Experiments

    Kai-Tang Fang;Run-ze Li;Agus Sudjianto

  • One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.

    Hui Zou;Runze Li

  • Tuning parameter selectors for the smoothly clipped absolute deviation method.

    Hansheng Wang;Runze Li;Chih Ling Tsai

  • Sensitivity and specificity of information criteria.

    John J. Dziak;Donna L. Coffman;Stephanie T. Lanza;Runze Li

  • Feature Screening via Distance Correlation Learning

    Runze Li;Wei Zhong;Liping Zhu

  • Variable Selection for Cox's proportional Hazards Model and Frailty Model

    Jianqing Fan;Runze Li

  • Efficient Estimation and Inferences for Varying-Coefficient Models

    Zongwu Cai;Jianqing Fan;Runze Li

  • Variable Selection using MM Algorithms.

    David R. Hunter;Runze Li

  • New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis

    Jianqing Fan;Runze Li

  • Model-Free Feature Screening for Ultrahigh-Dimensional Data

    Li Ping Zhu;Lexin Li;Runze Li;Li Xing Zhu

  • Statistical challenges with high dimensionality: feature selection in knowledge discovery

    Jianqing Fan;Runze Li

  • Design of Experiments with Multiple Independent Variables: A Resource Management Perspective on Complete and Reduced Factorial Designs

    Linda M. Collins;John J. Dziak;Runze Li

  • A Time-Varying Effect Model for Intensive Longitudinal Data

    Xianming Tan;Mariya P. Shiyko;Runze Li;Yuelin Li

  • Regularization Parameter Selections via Generalized Information Criterion

    Yiyun Zhang;Runze Li;Chih Ling Tsai

  • Variable Selection in Semiparametric Regression Modeling.

    Runze Li;Hua Liang

  • Quantile Regression for Analyzing Heterogeneity in Ultra-High Dimension

    Lan Wang;Yichao Wu;Runze Li

  • NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS

    Bo Kai;Runze Li;Hui Zou

  • Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function.

    Jianqing Fan;Tao Huang;Runze Li

  • The Bayesian lasso for genome-wide association studies

    Jiahan Li;Kiranmoy Das;Guifang Fu;Runze Li

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

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

Frequent Co-Authors

Kai-Tai Fang
Kai-Tai Fang Beijing Normal University
Rongling Wu
Rongling Wu Pennsylvania State University
Jianqing Fan
Jianqing Fan Princeton University
Hansheng Wang
Hansheng Wang Peking University
Stephanie T. Lanza
Stephanie T. Lanza Pennsylvania State University
Saul Shiffman
Saul Shiffman University of Pittsburgh
Lisa Dierker
Lisa Dierker Wesleyan University
Chih-Ling Tsai
Chih-Ling Tsai University of California, Davis
Robert A. Zucker
Robert A. Zucker University of Michigan–Ann Arbor
Dennis K. J. Lin
Dennis K. J. Lin Purdue University West Lafayette

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