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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Designing predictive maintenance systems using decision tree-based machine learning techniques
Shashidhar Kaparthi, Daniel Bumblauskas
International Journal of Quality & Reliability Management (2020) Vol. 37, Iss. 4, pp. 659-686
Closed Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
Zeki Murat Çınar, Abubakar Abdussalam Nuhu, Qasim Zeeshan, et al.
Sustainability (2020) Vol. 12, Iss. 19, pp. 8211-8211
Open Access | Times Cited: 505
A review of industrial big data for decision making in intelligent manufacturing
Chunquan Li, Yaqiong Chen, Yuling Shang
Engineering Science and Technology an International Journal (2021) Vol. 29, pp. 101021-101021
Open Access | Times Cited: 221
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review
Joerg Leukel, Julián Gil González, Martin Riekert
Journal of Manufacturing Systems (2021) Vol. 61, pp. 87-96
Closed Access | Times Cited: 112
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
Ayşegül Uçar, Mehmet Karaköse, Necim Kırımça
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 898-898
Open Access | Times Cited: 55
Artificial intelligence in supply chain and operations management: a multiple case study research
Violetta Giada Cannas, Maria Pia Ciano, Mattia Saltalamacchia, et al.
International Journal of Production Research (2023) Vol. 62, Iss. 9, pp. 3333-3360
Open Access | Times Cited: 53
Empirical exploration of predictive maintenance in concrete manufacturing: Harnessing machine learning for enhanced equipment reliability in construction project management
Odey Alshboul, Rabia Emhamed Al Mamlook, Ali Shehadeh, et al.
Computers & Industrial Engineering (2024) Vol. 190, pp. 110046-110046
Closed Access | Times Cited: 28
Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
Kevin Barrera, Jordi Burriel-Valencia, Ángel Sapena-Bañó, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 471-471
Open Access | Times Cited: 2
Optimal Sensor Placement for Structural Health Monitoring: A Comprehensive Review
Zhiyan Sun, Mojtaba Mahmoodian, Amir Sidiq, et al.
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 2, pp. 22-22
Open Access | Times Cited: 1
The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system
Mustafa Çakır, Mehmet Ali Güvenç, Selçuk Mıstıkoğlu
Computers & Industrial Engineering (2020) Vol. 151, pp. 106948-106948
Closed Access | Times Cited: 127
A systematic review of machine learning in logistics and supply chain management: current trends and future directions
Mohammadreza Akbari, Thu Nguyen Anh
Benchmarking An International Journal (2021) Vol. 28, Iss. 10, pp. 2977-3005
Closed Access | Times Cited: 98
Decision Intelligence-Based Predictive Modelling of Hard Rock Pillar Stability Using K-Nearest Neighbour Coupled with Grey Wolf Optimization Algorithm
Muhammad Kamran, Waseem Chaudhry, Blessing Olamide Taiwo, et al.
Processes (2024) Vol. 12, Iss. 4, pp. 783-783
Open Access | Times Cited: 13
Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions
Giovanna Culot, Matteo Podrecca, Guido Nassimbeni
Computers in Industry (2024) Vol. 162, pp. 104132-104132
Open Access | Times Cited: 8
Predictive Analytics in Business Analytics: Decision Tree
Chee Sun Lee, Peck Yeng Sharon Cheang
Advances in Decision Sciences (2021) Vol. 26, Iss. 1, pp. 1-30
Open Access | Times Cited: 47
Data-Driven Deep Learning-Based Attention Mechanism for Remaining Useful Life Prediction: Case Study Application to Turbofan Engine Analysis
Amgad Muneer, Shakirah Mohd Taib, Sheraz Naseer, et al.
Electronics (2021) Vol. 10, Iss. 20, pp. 2453-2453
Open Access | Times Cited: 41
Machine learning approach in non-intrusive monitoring of tool wear evolution in massive CFRP automatic drilling processes in the aircraft industry
C. Domínguez-Monferrer, J. Fernández-Pérez, Rosangela de Araújo Santos, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 622-639
Open Access | Times Cited: 35
The impact of Industry 4.0 on the relationship between TPM and maintenance performance
Guilherme Luz Tortorella, Tarcísio Abreu Saurin, Flávio Sanson Fogliatto, et al.
Journal of Manufacturing Technology Management (2022) Vol. 33, Iss. 3, pp. 489-520
Open Access | Times Cited: 32
Data mining in predictive maintenance systems: A taxonomy and systematic review
Aurora Esteban, Amelia Zafra, Sebastián Ventura
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 28
Review of Machine Learning Techniques in the Supply Chain Management of Indian Industry
Rashmi Ranjan Panigrahi, Meenakshee Dash, Zakir Hossen Shaikh, et al.
Advances in finance, accounting, and economics book series (2023), pp. 199-219
Closed Access | Times Cited: 16
Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
Farzaneh Darbanian, Patrick Brandtner, Taha Falatouri, et al.
Operations and Supply Chain Management An International Journal (2024), pp. 1-31
Open Access | Times Cited: 5
Predictive maintenance management of gear systems in the era of computer vision
Jane Kelly Barbosa de Almeida, Rodrigo Sampaio Lopes, Marcele Elisa Fontana
International Journal of Quality & Reliability Management (2025)
Closed Access
Advancing energy efficiency: Machine learning based forecasting models for integrated power systems in food processing company
Seray MİRASÇI, Sara Uygur, Aslı Aksoy
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110445-110445
Closed Access
Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study
S. Vinodh, Vishal Ashok Wankhede
International Journal of Quality & Reliability Management (2020) Vol. 38, Iss. 8, pp. 1695-1721
Closed Access | Times Cited: 46
Integrated scheduling of multiple heterogeneous equipment and maintenance operations during discharging process in a container terminal under uncertainty
M. Basir Abyaneh, Behnam Vahdani, Behrouz Afshar-Nadjafi, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110300-110300
Closed Access | Times Cited: 4
Assessment of Deep Neural Network Models for Direct and Recursive Multi-Step Prediction of PM10 in Southern Spain
Javier Gómez-Gómez, E. Gutiérrez de Ravé, Francisco J. Jiménez‐Hornero
Forecasting (2025) Vol. 7, Iss. 1, pp. 6-6
Open Access
Counterfactual explanations for remaining useful life estimation within a Bayesian framework
Jilles Andringa, Márcia Baptista, Bruno F. Santos
Information Fusion (2025), pp. 102972-102972
Open Access
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