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 2021-05-01 to 2025-05-01.)

Article	Citations
Statistical Methods for Reliability Data	46
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	32
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	24
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	20
Measuring the robustness of predictive probability for early stopping in two-group comparisons	16
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	14
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,	12
Bayesian networks with examples in RBayesian networks with examples in R, 2nd Edition, by Marco Scutari and Jean-Baptiste Denis. Boca Raton, FL: Chapman & Hall/CRC Press, 2021. 258 pp., $93.10. IS	12
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	11
Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs	11
Knots and their effect on the tensile strength of lumber: A case study	10
Data Science: A First Introduction Data Science: A First Introduction , by Tiffany Timbers, Trevor Campbell, and Melissa Lee. Boca Raton, FL: CRC Press, 2022, xxiii + 42	10
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	9
Phase I analysis of high-dimensional processes in the presence of outliers	9
Applied categorical and count data analysis, 2nd edition	9
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	9
Data-level transfer learning for degradation modeling and prognosis	8
Message from the Editor	8
The 100th anniversary of the control chart	8
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	7
Nonparametric online monitoring of dynamic networks	7
Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	6
Reliability: Probabilistic models and statistical methods	6
Sequential Latin hypercube design for two-layer computer simulators	6
Joint monitoring of location and scale for modern univariate processes	6

An adaptive sensor selection framework for multisensor prognostics	5
Statistical Design and Analysis of Biological Experiments	5
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project	5
Augmenting definitive screening designs: Going outside the box	4
Efficient analysis of split-plot experimental designs using model averaging	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,	4
Controlling the conditional false alarm rate for the MEWMA control chart	4
Bayesian sequential design for sensitivity experiments with hybrid responses	4
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	3
ASQ Membership	3
Boost-R: Gradient boosted trees for recurrence data	3
Real-time monitoring of functional data	3
Analysis of data from orthogonal minimally aliased response surface designs	3
Optimization of Pharmaceutical Processes	3
Order-of-addition mixture experiments	3
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	3
Best practices for multi- and mixed-level supersaturated designs	2
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	2
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	2
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	2
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	2
A continual learning framework for adaptive defect classification and inspection	2
Introduction to time series modeling with applications in R	2
Knowledge-infused process monitoring for quality improvement in solar cell manufacturing processes	2
Advanced Survival Models	1
A non-linear mixed model approach for detecting outlying profiles	1
Optimal constrained design of control charts using stochastic approximations	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
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	1
Interaction effects in pairwise ordering model	1
Multi-sensor based landslide monitoring via transfer learning	1
Artificial intelligence and statistics for quality technology: an introduction to the special issue	1
Understanding elections through statistics by Ole J. Forsberg, CRC press, Taylor & Francis group, boca Raton, FL, 2020, 225 pp., $69.95, ISBN 978-0367895372	1
Design strategies and approximation methods for high-performance computing variability management	1
Two-level orthogonal screening designs with 80, 96, and 112 runs, and up to 29 factors	1
Statistical Machine Learning – A Unified Framework	1
Scalable level-wise screening experiments using locating arrays	1
Bayesian Modeling and Computation in Python	1
In-profile monitoring for cluster-correlated data in advanced manufacturing system	1
Quality prediction using functional linear regression with in-situ image and functional sensor data	1
Group-wise monitoring of multivariate data with missing values	1
Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models	1
cpss: an R package for change-point detection by sample-splitting methods	1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1