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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:

A Review of Data-Driven Decision-Making Methods for Industry 4.0 Maintenance Applications
Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, et al.
Electronics (2021) Vol. 10, Iss. 7, pp. 828-828
Open Access | Times Cited: 189

Showing 26-50 of 189 citing articles:

Enhancing the Decision-Making Process through Industry 4.0 Technologies
Frédéric Rosin, Pascal Forget, Samir Lamouri, et al.
Sustainability (2022) Vol. 14, Iss. 1, pp. 461-461
Open Access | Times Cited: 27
Maintenance 5.0: Towards a Worker-in-the-Loop Framework for Resilient Smart Manufacturing
Alejandro Cortés-Leal, César Cárdenas, Carolina Del-Valle-Soto
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11330-11330
Open Access | Times Cited: 25
The Application of Artificial Intelligence in Education
Surjit Singha, Ranjit Singha
Advances in business information systems and analytics book series (2024), pp. 282-292
Closed Access | Times Cited: 4
Improving production and maintenance planning with meta-learning-based failure prediction
Lynceo Falavigna Braghirolli, Lúcio Galvão Mendes, Hendrik Engbers, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 42-55
Closed Access | Times Cited: 4
Artificial Intelligence in Maritime Transportation: A Comprehensive Review of Safety and Risk Management Applications
Irmina Durlik, Tymoteusz Miller, Ewelina Kostecka, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8420-8420
Open Access | Times Cited: 4
AI-Driven Predictive Maintenance
Ramazan Ünlü, İsmet Söylemez
Springer tracts in nature-inspired computing (2024), pp. 207-233
Closed Access | Times Cited: 4
Assessing power-to-heat technologies for industrial electrification: A multi-criteria decision analysis approach
Arman Ashabi, Mohamed Mostafa, Andriy Hryshchenko, et al.
Energy Conversion and Management X (2025), pp. 100882-100882
Open Access
Revolutionizing Supply Chain Forecasting With Generative AI and Machine Learning
James Kanyepe, Rudolph L. Boy, Munyaradzi Chibaro, et al.
Advances in business strategy and competitive advantage book series (2025), pp. 435-462
Closed Access
Optimal coordination of Production, Logistics, and Maintenance 4.0: A framework for Multi-Site Stamping Plants
Raoua Zerrad, Kamar Diaz, Meriem Hayani Mechkouri, et al.
Procedia Computer Science (2025) Vol. 253, pp. 2899-2908
Open Access
Recipe Based Anomaly Detection with Adaptable Learning: Implications on Sustainable Smart Manufacturing
Junhee Lee, Jaeseok Jang, Qing Tang, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1457-1457
Open Access
Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction
Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei, et al.
International Journal of Information Management Data Insights (2025) Vol. 5, Iss. 1, pp. 100331-100331
Closed Access
LLM-MANUF: An integrated framework of Fine-Tuning large language models for intelligent Decision-Making in manufacturing
Kui Du, Bo Yang, Keqiang Xie, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103263-103263
Closed Access
Scenario Generation for Built Environment Decision Support under Uncertainty: Case Studies of Airflow Modeling and Climate-Resilient Infrastructure System Design
Linchao Luo, Chih‐Shen Cheng, William H. Mobley, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 4
Closed Access
Optimizing the preventive maintenance frequency with causal machine learning
Toon Vanderschueren, Robert Boute, Tim Verdonck, et al.
International Journal of Production Economics (2023) Vol. 258, pp. 108798-108798
Open Access | Times Cited: 11
Artificial intelligence and policy making; can small municipalities enable digital transformation?
Ioannis Koliousis, Abdulrahman Al-Surmi, Mahdi Bashiri
International Journal of Production Economics (2024) Vol. 274, pp. 109324-109324
Open Access | Times Cited: 3
Simulation Model for Robotic Pick-Point Evaluation for 2-F Robotic Gripper
Primož Bencak, Darko Hercog, Tone Lerher
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2599-2599
Open Access | Times Cited: 9
A primer on predictive maintenance: Potential benefits and practical challenges
Henrik Hviid Hansen, Murat Külahçı, Bo Friis Nielsen
Quality Engineering (2024) Vol. 36, Iss. 3, pp. 638-649
Closed Access | Times Cited: 3
A predictive maintenance model for k-out-of-n:F continuously deteriorating systems subject to stochastic and economic dependencies
Khac Tuan Huynh, Hai Canh Vu, T.D. Nguyen, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108671-108671
Closed Access | Times Cited: 15
Implementation of the IDAIC framework on an air handling unit to transition to proactive maintenance
Michael Ahern, Dominic O’Sullivan, Ken Bruton
Energy and Buildings (2023) Vol. 284, pp. 112872-112872
Open Access | Times Cited: 8
Effective Data Utilization in the Context of Industry 4.0 Technology Integration
Samuel Janík, Peter Szabó, Miroslava Mĺkva, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10517-10517
Open Access | Times Cited: 12
Brake Maintenance Diagnostic with Fuzzy-Bayesian Expert System
Misael Perez Hernández, Martín Montes Rivera, Ricardo Perez Hernández, et al.
Lecture notes in computer science (2024), pp. 77-101
Closed Access | Times Cited: 2
Integrating transfer learning within data-driven soft sensor design to accelerate product quality control
Sam Kay, Harry Kay, Max Mowbray, et al.
Digital Chemical Engineering (2024) Vol. 10, pp. 100142-100142
Open Access | Times Cited: 2
Predictive maintenance in Industry 4.0: a survey of planning models and machine learning techniques
Ida Hector, Rukmani Panjanathan
PeerJ Computer Science (2024) Vol. 10, pp. e2016-e2016
Open Access | Times Cited: 2
Self-Adaptive Server Anomaly Detection Using Ensemble Meta-Reinforcement Learning
Bao Rong Chang, Hsiu Fen Tsai, Guan‐Ru Chen
Electronics (2024) Vol. 13, Iss. 12, pp. 2348-2348
Open Access | Times Cited: 2
Maintenance 4.0 Technologies for Sustainable Manufacturing
Małgorzata Jasiulewicz–Kaczmarek
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7360-7360
Open Access | Times Cited: 2

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