OOIR: Observatory of International Research

Papers

(The TQCC of Statistical Analysis and Data Mining 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 2021-09-01 to 2025-09-01.)

Article	Citations
	466
Data‐drivensparse partial least squares	20
Randomized multiarm bandits: An improved adaptive data collection method	18
	17
Semi‐Parametric Least‐Area Linear‐Circular Regression Through Möbius Transformation	17
Sample selection bias in evaluation of prediction performance of causal models	15
Testing for the Important Components of Predictive Variance	11
Deep Learning for Variable Selection in Censored Quantile Regression Models	11
Issue Information	10
Kernel learning with nonconvex ramp loss	9
Some Bayesian biclustering methods: Modeling and inference	9
CLADAG 2021 special issue: Selected papers on classification and data analysis	7
BayesMultiomics: An R Package for Bayesian Shrinkage Models for Integration and Analysis of Multi‐Platform High‐Dimensional Genomics Data	7
Data Twinning	7
Bayesian shrinkage models for integration and analysis of multiplatform high‐dimensional genomics data	6
Weighted AutoEncoding recommender system	6
Model Averaging for Regression Kink Models	6
	6
Optimal ratio for data splitting	6
An efficientk‐modes algorithm for clustering categorical datasets	5
Rank‐Based Inference for Conditional Independence Graph With Missing Values	5
Issue Information	5
Robust deep neural network surrogate models with uncertainty quantification via adversarial training	4
On difference‐based gradient estimation in nonparametric regression	4
Tracking clusters and anomalies in evolving data streams	4

Input‐response space‐filling designs incorporating response uncertainty	4
Integrative learning of structuredhigh‐dimensionaldata from multiple datasets	4
Issue Information	4
Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets	3
Multivariate contaminated normal mixture regression modeling of longitudinal data based on jointmean‐covariancemodel	3
Nonparametric clustering of RNA‐sequencing data	3
Local influence analysis for the sliced average third‐moment estimation	3
Extracting Genetically‐Imputed Causal Features From ECG Data	3
Bayesian inference for nonprobability samples with nonignorable missingness	3
Variational Autoencoder With Gamma Mixture for Clustering High‐Dimensional Right‐Skewed Data	3
A finely tuned deep transfer learning algorithm to compare outsole images	3
Issue Information	3
A new formulation of sparse multiple kernel k$$ k $$‐means clustering and its applications	3
A tree‐based gene–environment interaction analysis with rare features	3
An ImprovedD2GAN‐based oversampling algorithm for imbalanced data classification	3
Model‐Based Recursive Partitioning for Discrete Event Times	3
The fairness‐accuracy Pareto front	3
Bayesian modeling of location, scale, and shape parameters in skew‐normal regression models	3
Density estimation via measure transport: Outlook for applications in the biological sciences	2
	2
A Novel Approach for APT Detection Based on Ensemble Learning Model	2
Issue Information	2
e^RPCA: Robust Principal Component Analysis for Exponential Family Distributions	2
Development and validation of models for two‐week mortality of inpatients with COVID‐19 infection: A large prospective cohort study	2
Adversarially robust subspace learning in the spiked covariance model	2
Semiparametric detection of changepoints in location, scale, and copula	2
Low‐Dimensional Adaptive Neural Network Regression With Directional Change Detection via Nuclear Norm Penalization	2
Interaction Tests With Covariate‐Adaptive Randomization	2
Issue Information	2
The analysis of association rules: Latent class analysis	2
	2
Bayesian Hybrid Model Search and Averaging for Sparse Gaussian Process Regression	2
A Conversational Assistant for Democratization of Data Visualization: A Comparative Study of Two Approaches of Interaction	2
Biclustering high‐frequency financial time series based on information theory	2
Driving mode analysis—How uncertain functional inputs propagate to an output	2
Sparse Bayesian variable selection in high‐dimensional logistic regression models with correlated priors	2
Recovering the Number of Clusters From a Laplacian Matrix by Nuclear Norm Penalization	2
Cost‐sensitive classification with time constraint on incomplete data	2
Data‐driven stochastic model for quantifying the interplay between amyloid‐beta and calcium levels in Alzheimer's disease	2