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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:

On Predictive Maintenance in Industry 4.0: Overview, Models, and Challenges
Mounia Achouch, Mariya Dimitrova, Khaled Ziane, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8081-8081
Open Access | Times Cited: 208

Showing 1-25 of 208 citing articles:

A comprehensive literature review of the applications of AI techniques through the lifecycle of industrial equipment
Mahboob Elahi, Samuel Olaiya Afolaranmi, José L. Martínez Lastra, et al.
Discover Artificial Intelligence (2023) Vol. 3, Iss. 1
Open 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: 67
Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
Foivos Psarommatis, Gökan May, Victor Azamfirei
Journal of Manufacturing Systems (2023) Vol. 68, pp. 376-399
Open Access | Times Cited: 59
Transforming equipment management in oil and gas with AI-Driven predictive maintenance
Dazok Donald Jambol, Oludayo Olatoye Sofoluwe, Ayemere Ukato, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 5, pp. 1090-1112
Open Access | Times Cited: 33
A survey-based approach of framework development for improving the application of internet of things in the construction industry of Malaysia
Muhammad Ali Musarat, Wesam Salah Alaloul, Abdul Mateen Khan, et al.
Results in Engineering (2024) Vol. 21, pp. 101823-101823
Open Access | Times Cited: 25
Digital technologies for a net-zero energy future: A comprehensive review
Md Meftahul Ferdaus, Tanmoy Dam, Sreenatha G. Anavatti, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114681-114681
Closed Access | Times Cited: 23
Optimizing maintenance logistics on offshore platforms with AI: Current strategies and future innovations
Ayemere Ukato, Oludayo Olatoye Sofoluwe, Dazok Donald Jambol, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 22, Iss. 1, pp. 1920-1929
Open Access | Times Cited: 16
End-to-end lifecycle machine learning framework for predictive maintenance of critical equipment
Jérémie Marchand, Jannik Laval, Aïcha Sekhari, et al.
Enterprise Information Systems (2025)
Closed Access | Times Cited: 2
Machine Learning and Deep Learning Paradigms: From Techniques to Practical Applications and Research Frontiers
Kamran Razzaq, Mahmood Shah
Computers (2025) Vol. 14, Iss. 3, pp. 93-93
Open Access | Times Cited: 2
A real-time adaptive model for bearing fault classification and remaining useful life estimation using deep neural network
Muktesh Gupta, Rajesh Wadhvani, Akhtar Rasool
Knowledge-Based Systems (2022) Vol. 259, pp. 110070-110070
Open Access | Times Cited: 46
Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review
Sylwia Werbińska-Wojciechowska, Klaudia Winiarska
Sensors (2023) Vol. 23, Iss. 3, pp. 1409-1409
Open Access | Times Cited: 34
A review on effective alarm management systems for industrial process control: Barriers and opportunities
Faizan E Mustafa, Ijaz Ahmed, Abdul Basit, et al.
International Journal of Critical Infrastructure Protection (2023) Vol. 41, pp. 100599-100599
Closed Access | Times Cited: 32
DeepThink IoT: The Strength of Deep Learning in Internet of Things
Divyansh Thakur, Jaspal Kaur Saini, Srikant Srinivasan
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14663-14730
Closed Access | Times Cited: 27
Securing Smart Manufacturing by Integrating Anomaly Detection With Zero-Knowledge Proofs
Abdu Salam, Mohammad Abrar, Farhan Amin, et al.
IEEE Access (2024) Vol. 12, pp. 36346-36360
Open Access | Times Cited: 8
Integrating intuitionistic fuzzy and MCDM methods for sustainable energy management in smart factories
Mohd Anjum, Naoufel Kraïem, Hong Min, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315251-e0315251
Open Access | Times Cited: 1
Towards Predictive Maintenance in the Maritime Industry: A Component-Based Overview
Alexandros Kalafatelis, Νικόλαος Νομικός, Anastasios Giannopoulos, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 425-425
Open Access | Times Cited: 1
Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor
Mounia Achouch, Mariya Dimitrova, Rizck Dhouib, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1790-1790
Open Access | Times Cited: 21
A Novel Methodology for Unsupervised Anomaly Detection in Industrial Electrical Systems
Marco Carratù, Vincenzo Gallo, Salvatore Dello Iacono, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Open Access | Times Cited: 20
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 18
Zero Defect Manufacturing: A complete guide for advanced and sustainable quality management
Foivos Psarommatis, Victor Azamfirei
Journal of Manufacturing Systems (2024) Vol. 77, pp. 764-779
Open Access | Times Cited: 7
A security‐enhanced equipment predictive maintenance solution for the ETO manufacturing
Xiangyu Cao, Zhengjun Jing, Xiaorong Zhao, et al.
International Journal of Network Management (2024) Vol. 34, Iss. 6
Closed Access | Times Cited: 6
A Framework for Communicating and Building a Digital Twin Model of the Electric Car
Tomasz Bednarz, A. Baier, Iwona Paprocka
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1776-1776
Open Access | Times Cited: 6
Leveraging big data for agile transformation in technology firms: Implementation and best practices
Bayode Dona Simpson, E.S. Johnson, Gbenga Sheriff Adeleke, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 6, pp. 1952-1968
Open Access | Times Cited: 6
Robotic Cell Reliability Optimization Based on Digital Twin and Predictive Maintenance
Dimitris Mourtzis, Sofia Tsoubou, John Angelopoulos
Electronics (2023) Vol. 12, Iss. 9, pp. 1999-1999
Open Access | Times Cited: 16
Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes
Jisu Ahn, Younjeong Lee, Namji Kim, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7331-7331
Open Access | Times Cited: 16
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