OOIR: Observatory of International Research

Papers

(The median citation count of Journal of Quality Technology is 1. 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 2021-11-01 to 2025-11-01.)

Article	Citations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	48
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	13
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’	13
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments	12
Measuring the robustness of predictive probability for early stopping in two-group comparisons	11
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	11
Statistical Methods for Reliability Data	11
Bayesian networks with examples in R	11
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	9
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	8
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	7
ANOVA and Mixed Models: A Short Introduction Using R ANOVA and Mixed Models: A Short Introduction Using R , by Lukas Meier. ETH Zurich, Switzerland: Chapman & Hall,	7
Data Science: A First Introduction	6
Knots and their effect on the tensile strength of lumber: A case study	6
Phase I analysis of high-dimensional processes in the presence of outliers	6
Applied categorical and count data analysis, 2nd edition	6
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency	6
Nonparametric online monitoring of dynamic networks	5
The 100th anniversary of the control chart	5
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	5
Message from the Editor	5
Joint monitoring of location and scale for modern univariate processes	5
Data-level transfer learning for degradation modeling and prognosis	5
Bias in the Kaplan–Meier estimator for small samples	4
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	4

A nonlinear mixed-effects functional regression model based on variable selection	4
Sequential Latin hypercube design for two-layer computer simulators	4
Reliability: Probabilistic models and statistical methods	4
Statistics for Chemical and Process Engineers: A Modern Approach Statistics for Chemical and Process Engineers: A Modern Approach , 2nd ed., by Yuri A. W. Shardt. Cham,	3
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	3
Analysis of data from orthogonal minimally aliased response surface designs	3
Statistical Design and Analysis of Biological Experiments	3
Optimization of Pharmaceutical Processes	3
Bayesian sequential design for sensitivity experiments with hybrid responses	3
Augmenting definitive screening designs: Going outside the box	3
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project	3
Efficient analysis of split-plot experimental designs using model averaging	3
Best practices for multi- and mixed-level supersaturated designs	2
A continual learning framework for adaptive defect classification and inspection	2
Bayesian Modeling and Computation in Python	2
A general framework for monitoring mixed data	2
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	2
Practical implementation of an End-to-end methodology for SPC of 3-D part geometry: A case study	2
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	2
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	2
Real-time monitoring of functional data	2
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	2
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	2
Construction of orthogonal maximin distance designs	1
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	1
A non-linear mixed model approach for detecting outlying profiles	1
Quality prediction using functional linear regression with in-situ image and functional sensor data	1
Design strategies and approximation methods for high-performance computing variability management	1
Interaction effects in pairwise ordering model	1
Group-wise monitoring of multivariate data with missing values	1
Measuring sampling plan utility in post-marketing surveillance of medical products	1
The Reliability of Generating Data The Reliability of Generating Data , by K. Krippendorf. Boca Raton, FL: Chapman and Hall/CRC, 2023, 328 pp., $130.00; ISBN 978-0367630	1
Foundations of Statistics for Data Scientists: With R and Python Foundations of Statistics for Data Scientists: With R and Python , by AlanAgresti and MariaKateri. Boca	1
In-profile monitoring for cluster-correlated data in advanced manufacturing system	1
Two-stage design for failure probability estimation with Gaussian process surrogates	1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1
Scalable level-wise screening experiments using locating arrays	1
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	1
cpss: an R package for change-point detection by sample-splitting methods	1
Automated analysis of experiments using hierarchical garrote	1
Optimal constrained design of control charts using stochastic approximations	1
A risk-adjusted, exponentially weighted moving average (EWMA) chart based on ordinal information for multiple surgical outcome monitoring	1
Statistical Machine Learning – A Unified Framework	1
A task-incremental semi-supervised meta learning method for few-shot RUL prediction	1