Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges
Jovani Dalzochio, Rafael Kunst, Edison Pignaton de Freitas, et al.
Computers in Industry (2020) Vol. 123, pp. 103298-103298
Closed Access | Times Cited: 382

Showing 1-25 of 382 citing articles:

Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Cognitive Robotics (2023) Vol. 3, pp. 54-70
Open Access | Times Cited: 458
Internet of things for smart factories in industry 4.0, a review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 192-204
Open Access | Times Cited: 238
The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies
Abdo Hassoun, Abderrahmane Aït‐Kaddour, Adnan M. Abu‐Mahfouz, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 23, pp. 6547-6563
Open Access | Times Cited: 214
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Hasan Tercan, Tobias Meisen
Journal of Intelligent Manufacturing (2022) Vol. 33, Iss. 7, pp. 1879-1905
Open Access | Times Cited: 173
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 15, pp. 12861-12885
Closed Access | Times Cited: 146
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
Mahmoud Elsisi, Minh‐Quang Tran, Karar Mahmoud, et al.
Measurement (2022) Vol. 190, pp. 110686-110686
Closed Access | Times Cited: 133
Integration of Industry 4.0 technologies into Total Productive Maintenance practices
Guilherme Luz Tortorella, Flávio Sanson Fogliatto, Paulo Augusto Cauchick-Miguel, et al.
International Journal of Production Economics (2021) Vol. 240, pp. 108224-108224
Closed Access | Times Cited: 120
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
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Riccardo Rosati, Luca Romeo, Gianalberto Cecchini, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 107-121
Open Access | Times Cited: 108
Toward cognitive predictive maintenance: A survey of graph-based approaches
Liqiao Xia, Pai Zheng, Xinyu Li, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 107-120
Closed Access | Times Cited: 100
Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing
Changchun Liu, Haihua Zhu, Dunbing Tang, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102357-102357
Closed Access | Times Cited: 83
End-to-end industrial IoT platform for Quality 4.0 applications
Ioannis T. Christou, Nikos Kefalakis, John Soldatos, et al.
Computers in Industry (2022) Vol. 137, pp. 103591-103591
Closed Access | Times Cited: 78
A systematic review on semantic interoperability in the IoE-enabled smart cities
Αντώνιος Πλιάτσιος, Konstantinos Kotis, Christos Goumopoulos
Internet of Things (2023) Vol. 22, pp. 100754-100754
Open Access | Times Cited: 65
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
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: 53
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4025-4025
Open Access | Times Cited: 51
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing
Xiaoqiao Wang, Mingzhou Liu, Conghu Liu, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121136-121136
Closed Access | Times Cited: 41
Optimizing energy efficiency in data center cooling towers through predictive maintenance and project management
Wisdom Ebirim, Favour Oluwadamilare Usman, Kehinde Andrew Olu-lawal, et al.
World Journal of Advanced Research and Reviews (2024) Vol. 21, Iss. 2, pp. 1782-1790
Open Access | Times Cited: 18
Predictive maintenance in Industry 4.0: A systematic multi-sector mapping
Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 80-103
Open Access | Times Cited: 16
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: 15
A novel decision support system for managing predictive maintenance strategies based on machine learning approaches
Simone Arena, E. Florian, Ilenia Zennaro, et al.
Safety Science (2021) Vol. 146, pp. 105529-105529
Closed Access | Times Cited: 95
A Review on Data‐Driven Learning Approaches for Fault Detection and Diagnosis in Chemical Processes
Syed Ali Ammar Taqvi, Haslinda Zabiri, Lemma Dendena Tufa, et al.
ChemBioEng Reviews (2021) Vol. 8, Iss. 3, pp. 239-259
Closed Access | Times Cited: 74
Keeping the organization in the loop: a socio-technical extension of human-centered artificial intelligence
Thomas Herrmann, Sabine Pfeiffer
AI & Society (2022) Vol. 38, Iss. 4, pp. 1523-1542
Open Access | Times Cited: 67
A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector
Milena Nacchia, Fabio Fruggiero, Alfredo Lambiase, et al.
Applied Sciences (2021) Vol. 11, Iss. 6, pp. 2546-2546
Open Access | Times Cited: 65
Page 1 - Next Page

Scroll to top