OOIR: Observatory of International Research

Papers

(The TQCC of Journal of Quality Technology is 4. 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 2021-06-01 to 2025-06-01.)

Article	Citations
Multimodal recognition and prognostics based on features extracted via multisensor degradation modeling	46
Statistical Methods for Reliability Data	35
Open data for open science in Industry 4.0: In-situ monitoring of quality in additive manufacturing	25
A comprehensive case study on the performance of machine learning methods on the classification of solar panel electroluminescence images	17
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	14
Predictive ratio CUSUM (PRC): A Bayesian approach in online change point detection of short runs	13
Statistical Analytics for Health Data Science with SAS and R Statistical Analytics for Health Data Science with SAS and R	12
Measuring the robustness of predictive probability for early stopping in two-group comparisons	12
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,	11
Applied categorical and count data analysis, 2nd edition	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
Data-level transfer learning for degradation modeling and prognosis	9
Degradation modeling using Bayesian hierarchical piecewise linear models: A case study to predict void swelling in irradiated materials	9
Online automatic anomaly detection for photovoltaic systems using thermography imaging and low rank matrix decomposition	9
Knots and their effect on the tensile strength of lumber: A case study	9
Nonparametric online monitoring of dynamic networks	8
Phase I analysis of high-dimensional processes in the presence of outliers	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	6
Joint monitoring of location and scale for modern univariate processes	6
Sequential Latin hypercube design for two-layer computer simulators	6
An adaptive sensor selection framework for multisensor prognostics	5
Reliability: Probabilistic models and statistical methods	5
A nonlinear mixed-effects functional regression model based on variable selection	5

Constructing control charts for autocorrelated data using an exhaustive systematic samples pooled variance estimator	5
Building a Platform for Data-Driven Pandemic Prediction from Data Modeling to Visualization – The CovidLP Project	4
Statistical Design and Analysis of Biological Experiments	4
Boost-R: Gradient boosted trees for recurrence data	4
Augmenting definitive screening designs: Going outside the box	4
Controlling the conditional false alarm rate for the MEWMA control chart	4
Bayesian sequential design for sensitivity experiments with hybrid responses	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
Optimization of Pharmaceutical Processes	4