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 2022-06-01 to 2026-06-01.)

Article	Citations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	19
Response to Letter to the Editor ‘On the connection between mixed-level OMAR design and orthogonal mixed-level designs’	18
Statistical Methods for Reliability Data	17
A critique of neutrosophic statistical analysis illustrated with interval data from designed experiments	15
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	14
Measuring the robustness of predictive probability for early stopping in two-group comparisons	13
Bayesian networks with examples in R	12
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	11
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	11
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	11
Constructing large orthogonal minimally aliased response surface designs by concatenating two definitive screening designs	9
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,	9
Constructing orthogonal minimally aliased response surface designs using circulant weighing matrices	9
Knots and their effect on the tensile strength of lumber: A case study	8
A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families	8
Applied categorical and count data analysis, 2nd edition	8
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	8
Data Science: A First Introduction	8
Data-level transfer learning for degradation modeling and prognosis	7
Phase I analysis of high-dimensional processes in the presence of outliers	7
The 100th anniversary of the control chart	7
Improved sampling scheme with adaptive backtracking and flexible resampling mechanisms for increased lot-disposition efficiency	7
Bias in the Kaplan–Meier estimator for small samples	6
Message from the Editor	6
Joint monitoring of location and scale for modern univariate processes	5

Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	5
Sequential Latin hypercube design for two-layer computer simulators	5
Nonparametric online monitoring of dynamic networks	5
Reliability: Probabilistic models and statistical methods	4
A nonlinear mixed-effects functional regression model based on variable selection	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
Statistical Design and Analysis of Biological Experiments	4
Augmenting definitive screening designs: Going outside the box	4
Category tree Gaussian process for computer experiments with many-category qualitative factors and application to cooling system design	4
Optimization of Pharmaceutical Processes	4
Dynamic count time series modeling and anomaly detection for online automotive quality complaints	3
Best practices for multi- and mixed-level supersaturated designs	3
Real-time monitoring of functional data	3
Bayesian sequential design for sensitivity experiments with hybrid responses	3
Efficient analysis of split-plot experimental designs using model averaging	3
Use of the bias-corrected parametric bootstrap in sensitivity testing/analysis to construct confidence bounds with accurate levels of coverage	3
Next Editor of the Journal of Quality Technology : Dr. Rong Pan	3
Analysis of data from orthogonal minimally aliased response surface designs	3
Phase I control chart for individual autocorrelated data: application to prescription opioid monitoring	3
A continual learning framework for adaptive defect classification and inspection	3
A distribution-free monitoring technique for covariate-regulated processes	3
A general framework for monitoring mixed data	2
Criticality assessment for multivariate process monitoring: Development of a weighted χ ² control chart	2
Time-synchronized sensor clustering via rare events: A case study in semiconductor manufacturing processes	2
Automated analysis of experiments using hierarchical garrote	2
Practical implementation of an End-to-end methodology for SPC of 3-D part geometry: A case study	2
A note on a useful yet overlooked algorithm for total system Bayesian reliability estimation	2
A non-linear mixed model approach for detecting outlying profiles	2
Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited	2
Spatio-temporal process monitoring using exponentially weighted spatial LASSO	2
In-profile monitoring for cluster-correlated data in advanced manufacturing system	2
Optimal constrained design of control charts using stochastic approximations	2
Covariate-dependent stress–strength reliability under the shape-extended continuous Bernoulli distribution	1
Adaptive-region sequential design with quantitative and qualitative factors in application to HPC configuration	1
Two-stage design for failure probability estimation with Gaussian process surrogates	1
A task-incremental semi-supervised meta learning method for few-shot RUL prediction	1
Scalable level-wise screening experiments using locating arrays	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
Interaction effects in pairwise ordering model	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
Convolutional variational autoencoder for real-time monitoring of high-dimensional partially observed ordinal categorical data streams	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
Construction of orthogonal maximin distance designs	1
On modeling of multiplicative bias factor for multivariate degradation data	1
A risk-adjusted, exponentially weighted moving average (EWMA) chart based on ordinal information for multiple surgical outcome monitoring	1
Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design	1
A study on the performance of matrix control charts based on the normal distribution	1
Measuring sampling plan utility in post-marketing surveillance of medical products	1
Learning Basse R, 2nd edition, Lawrence M. Leemis, 2022, Lightning Source, 368 pp., $40, ISBN: 978-0-9829174-5-9	1