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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:

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

Showing 1-25 of 505 citing articles:

Understanding the adoption of Industry 4.0 technologies in improving environmental sustainability
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
Sustainable Operations and Computers (2022) Vol. 3, pp. 203-217
Open Access | Times Cited: 507
Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions
Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5725-5725
Open Access | Times Cited: 298
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review
Martin Pech, Jaroslav Vrchota, J. Bednář
Sensors (2021) Vol. 21, Iss. 4, pp. 1470-1470
Open Access | Times Cited: 265
Condition Monitoring using Machine Learning: A Review of Theory, Applications, and Recent Advances
Onur Surucu, S. Andrew Gadsden, John Yawney
Expert Systems with Applications (2023) Vol. 221, pp. 119738-119738
Open Access | Times Cited: 138
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 123
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
Machine learning and artificial intelligence in CNC machine tools, A review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Sustainable Manufacturing and Service Economics (2023) Vol. 2, pp. 100009-100009
Open Access | Times Cited: 96
Identifying and prioritizing impediments of industry 4.0 to sustainable digital manufacturing: A mixed method approach
Pratima Verma, Vimal Kumar, Tuğrul Daim, et al.
Journal of Cleaner Production (2022) Vol. 356, pp. 131639-131639
Closed Access | Times Cited: 87
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
Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
Tomáš Klieštik, Elvira Nica, Pavol Ďurana, et al.
Oeconomia Copernicana (2023) Vol. 14, Iss. 4, pp. 1097-1138
Open Access | Times Cited: 78
Sustainability 4.0 and its applications in the field of manufacturing
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
Internet of Things and Cyber-Physical Systems (2022) Vol. 2, pp. 82-90
Open Access | Times Cited: 69
From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry
Marek Molęda, Bożena Małysiak-Mrozek, Weiping Ding, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5970-5970
Open Access | Times Cited: 69
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
An Artificial Intelligence Approach for Improving Maintenance to Supervise Machine Failures and Support Their Repair
Izabela Rojek, Małgorzata Jasiulewicz–Kaczmarek, Mariusz Piechowski, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4971-4971
Open Access | Times Cited: 54
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
Revolutionizing municipal solid waste management (MSWM) with machine learning as a clean resource: Opportunities, challenges and solutions
Muhammad Tajammal Munir, Bing Li, Muhammad Naqvi
Fuel (2023) Vol. 348, pp. 128548-128548
Closed Access | Times Cited: 43
Machine learning scopes on microgrid predictive maintenance: Potential frameworks, challenges, and prospects
M.Y. Arafat, M. J. Hossain, Md Morshed Alam
Renewable and Sustainable Energy Reviews (2023) Vol. 190, pp. 114088-114088
Closed Access | Times Cited: 42
MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, Emmanuel Adeyemi Abaku
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 725-740
Open Access | Times Cited: 42
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
AI-driven warehouse automation: A comprehensive review of systems
Enoch Oluwademilade Sodiya, Uchenna Joseph Umoga, Olukunle Oladipupo Amoo, et al.
GSC Advanced Research and Reviews (2024) Vol. 18, Iss. 2, pp. 272-282
Open Access | Times Cited: 27
An In-Depth Study of Vibration Sensors for Condition Monitoring
Ietezaz Ul Hassan, Krishna Panduru, J. L. Walsh
Sensors (2024) Vol. 24, Iss. 3, pp. 740-740
Open Access | Times Cited: 21
A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Yannis C. Stamatiou
Eng—Advances in Engineering (2024) Vol. 5, Iss. 3, pp. 1266-1297
Open Access | Times Cited: 19
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
AI-Driven Intelligent Data Analytics and Predictive Analysis in Industry 4.0: Transforming Knowledge, Innovation, and Efficiency
Zhijuan Zong, Yu Guan
Journal of the Knowledge Economy (2024)
Closed Access | Times Cited: 18
Industry 5.0 and sustainable manufacturing: a systematic literature review
Ganesh Narkhede, Bhavesh Nandanram Pasi, Neela Rajhans, et al.
Benchmarking An International Journal (2024)
Closed Access | Times Cited: 17
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