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Xin-Yuan Song 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 Xin-Yuan Song 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.

Xin-Yuan Song 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 Xin-Yuan Song 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.

Overview

Xin-Yuan Song is affiliated with the Chinese University of Hong Kong in China. Their research work primarily focuses on the field of Mathematics, with a particular emphasis on Statistics and Probability. They have contributed substantially to the subfields of Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, and Management Science and Operations Research.

The scientist's work spans several key topics within statistics and inference, including Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, Advanced Causal Inference Techniques, Statistical Distribution Estimation and Applications, Advanced Statistical Methods and Models, and areas related to Health Systems, Economic Evaluations, and Quality of Life.

Xin-Yuan Song has published recent papers that reflect a range of research interests:

  • Wnt/β-catenin signalling, epithelial-mesenchymal transition and crosslink signalling in colorectal cancer cells, 2024, Biomedicine & Pharmacotherapy
  • Simultaneous variable selection in regression analysis of multivariate interval-censored data, 2021, Biometrics
  • A joint model for multivariate longitudinal and survival data to discover the conversion to Alzheimer's disease, 2021, Statistics in Medicine
  • Bayesian analysis of hidden Markov structural equation models with an unknown number of hidden states, 2020, Econometrics and Statistics
  • The complex relationship between gut microbiota and Alzheimer's disease: A systematic review, 2024, Ageing Research Reviews

Their frequent co-authors include Liuquan Sun, Silin Chen, Jinlang Wang, Ziqian Bi, and Chia Xin Liang.

Xin-Yuan Song's research has appeared in a variety of publication venues. Among the most frequent are:

  • arXiv (Cornell University)
  • Statistics in Medicine
  • Statistical Methods in Medical Research
  • SSRN Electronic Journal
  • Biometrics

Best Publications

  • Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes.

    Sik-Yum Lee;Xin-Yuan Song

  • Local Polynomial Fitting in Semivarying Coefficient Model

    Wenyang Zhang;Sik-Yum Lee;Xinyuan Song

  • Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

    Xin-Yuan Song;Sik-Yum Lee

  • Longitudinal Analysis of Quality of Life for Stroke Survivors Using Latent Curve Models

    Jun Hao Pan;Xin Yuan Song;Sik Yum Lee;Timothy Kwok

  • Bayesian analysis of structural equation models with dichotomous variables

    Sik-Yum Lee;Xin-Yuan Song

  • Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables.

    Sik-Yum Lee;Xin Yuan Song;Wai-Yin Poon

  • Bayesian Methods for Analyzing Structural Equation Models With Covariates, Interaction, and Quadratic Latent Variables

    Sik-Yum Lee;Xin-Yuan Song;Nian-Sheng Tang

  • Bayesian estimation and test for factor analysis model with continuous and polytomous data in several populations.

    Xin-Yuan Song;Sik-Yum Lee

  • Model comparison of nonlinear structural equation models with fixed covariates

    Sik-Yum Lee;Xin-Yuan Song

  • ORACLE MODEL SELECTION FOR NONLINEAR MODELS BASED ON WEIGHTED COMPOSITE QUANTILE REGRESSION

    Xuejun Jiang;Jiancheng Jiang;Xinyuan Song

  • Bayesian analysis of two-level nonlinear structural equation models with continuous and polytomous data.

    Xin-Yuan Song;Xin-Yuan Song;Sik-Yum Lee

  • A tutorial on the Bayesian approach for analyzing structural equation models

    Xin-Yuan Song;Sik-Yum Lee

  • Joint Analysis of Longitudinal Data With Informative Observation Times and a Dependent Terminal Event

    Liuquan Sun;Xinyuan Song;Jie Zhou;Lei Liu

  • Maximum likelihood analysis of a general latent variable model with hierarchically mixed data

    Sik-Yum Lee;Xin-Yuan Song;Xin-Yuan Song

  • Analysis of structural equation model with ignorable missing continuous and polytomous data

    Xin-Yuan Song;Sik-Yum Lee

  • A UNIFIED VARIABLE SELECTION APPROACH FOR VARYING COEFFICIENT MODELS

    Yanlin Tang;Huixia Judy Wang;Zhongyi Zhu;Xinyuan Song

  • Financial literacy and household finances: A Bayesian two-part latent variable modeling approach

    Xiangnan Feng;Bin Lu;Xinyuan Song;Shuang Ma

  • Bayesian model selection for mixtures of structural equation models with an unknown number of components.

    Sik-Yum Lee;Xin-Yuan Song;Xin-Yuan Song

  • Semiparametric Bayesian analysis of structural equation models with fixed covariates

    Sik-Yum Lee;Bin Lu;Xin-Yuan Song

  • Oracle model selection for nonlinear models based on weighted composite quantile regression accelerated failure time model

    Xuejun Jiang;Jiancheng Jiang;Xinyuan Song

Frequent Co-Authors

Sik-Yum Lee
Sik-Yum Lee Chinese University of Hong Kong
Yih-Ing Hser
Yih-Ing Hser University of California, Los Angeles
Wing-Yee So
Wing-Yee So Chinese University of Hong Kong
Edward H. Ip
Edward H. Ip Wake Forest University
Juliana C.N. Chan
Juliana C.N. Chan Chinese University of Hong Kong
Claes Ohlsson
Claes Ohlsson University of Gothenburg
Suzanne M. Skevington
Suzanne M. Skevington University of Manchester
Ping-Chung Leung
Ping-Chung Leung Chinese University of Hong Kong
Yi Li
Yi Li University of Michigan–Ann Arbor
Ronald C.W. Ma
Ronald C.W. Ma Chinese University of Hong Kong

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