Wiley Interdisciplinary Reviews-Computational Statistics

Papers
(The TQCC of Wiley Interdisciplinary Reviews-Computational Statistics is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
Issue Information104
Particle swarm optimization for searching efficient experimental designs: A review34
Issue Information26
SAREV: A review on statistical analytics of single‐cell RNA sequencing data25
Editorial18
Issue Information16
Bayesian estimation methods for survey data with potential applications to health disparities research15
Bayesian modeling of multivariate time series of counts15
Unsupervised clustering using nonparametric finite mixture models12
A systematic review of exploratory factor analysis packages in R software12
A survey of numerical algorithms that can solve the Lasso problems11
Merging two cultures: Deep and statistical learning10
Convergence rates of Metropolis–Hastings algorithms9
A review of N‐mixture models9
Data integration in causal inference9
Regression with linked datasets subject to linkage error9
Advances in estimation and inference for historical functional linear models9
Cluster analysis: A modern statistical review8
A review of normalization and differential abundance methods for microbiome counts data8
Tolerance limits for mixture‐of‐normal distributions with application to COVID‐19 data7
Data validation and statistical issues such as power and other considerations in genome‐wide association study (GWAS)6
Projection‐based techniques for high‐dimensional optimal transport problems6
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Diseases maps of spatial epidemiological data by R4
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Review on functional data classification4
Issue Information4
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Issue Information3
Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis3
Functional neuroimaging in the era of Big Data and Open Science: A modern overview3
A spectrum of explainable and interpretable machine learning approaches for genomic studies3
Joint Gaussian graphical model estimation: A survey3
Issue Information3
Statistical methods for gene–environment interaction analysis2
A review on computer model calibration2
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The R Package Ecosystem for Robust Statistics2
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Error control in tree structured hypothesis testing2
Function minimization and nonlinear least squares in R2
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Recent methods on short text stream clustering: A survey study2
Document clustering2
Prediction intervals for Poisson‐based regression models2
Community detection in complex networks: From statistical foundations to data science applications2
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