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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:

Optimizing Predictive Maintenance With Machine Learning for Reliability Improvement
Yali Ren
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2021) Vol. 7, Iss. 3
Closed Access | Times Cited: 42

Showing 26-50 of 42 citing articles:

Resilience-oriented adaptive predictive maintenance optimization for continuous process manufacturing systems considering mission profile variation
Yuqi Cai, Yihai He, Rui Shi, et al.
Computers & Industrial Engineering (2024) Vol. 197, pp. 110532-110532
Closed Access | Times Cited: 1
Application of machine learning algorithm in the sheet metal industry: an exploratory case study
Ahm Shamsuzzoha, Timo Kankaanpää, Huy Nguyen, et al.
International Journal of Computer Integrated Manufacturing (2021) Vol. 35, Iss. 2, pp. 145-164
Open Access | Times Cited: 9
Self-powered Fault Diagnosis Using Vibration Energy Harvesting and Machine Learning
Tomohiro Sato, Mitsuki Funato, Kiyotaka Imai, et al.
Sensors and Materials (2022) Vol. 34, Iss. 5, pp. 1909-1909
Open Access | Times Cited: 6
Learning phase in a LIVE Digital Twin for predictive maintenance
Andrew E. Bondoc, Mohsen Tayefeh, Ahmad Barari
Autonomous Intelligent Systems (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 6
OPERATIONAL READINESS AND ASSURANCE (OR&A) IN ASSET INTEGRITY: STRATEGIES FOR EXCELLENCE IN FACILITY MANAGEMENT
Patrick Oputa Odili, Cosmas Dominic Daudu, Adedayo Adefemi, et al.
Engineering Science & Technology Journal (2024) Vol. 5, Iss. 2, pp. 581-596
Open Access
An Investigation of Machine Learning Algorithms for Predictive Maintenance in High Pressure Processing Systems
Suradach Srisuwan, Supachate Innet
(2024), pp. 94-98
Closed Access
Investigation of condition monitoring system for grid connected photovoltaic (GCPV) system with power electronics converters using machine learning techniques
Izhar Ahmad Saifi, Mohammad Amir, Ahteshamul Haque, et al.
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 9, pp. 100722-100722
Open Access
REVISÃO DA LITERATURA SOBRE A MANUTENÇÃO CENTRADA EM CONFIABILIDADE (MCC)
Ricardo Pires de Souza, Flaviano Samel Pinheiro Alencar
Revista Foco (2024) Vol. 17, Iss. 11, pp. e6943-e6943
Open Access
Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects
Nwosu Obinnaya Chikezie Victor
(2023)
Open Access | Times Cited: 1
Towards Industry 4.0: Machine malfunction prediction based on IIoT streaming data
Dragana Nikolova, Petre Lameski, Ivan Miguel Pires, et al.
Annals of Computer Science and Information Systems (2023) Vol. 35, pp. 291-296
Open Access | Times Cited: 1
Application of improved support vector machine model in fault diagnosis and prediction of power transformers
Yanming Wang
Advanced Control for Applications (2023)
Closed Access | Times Cited: 1
A Review on Equipment Health Monitoring Using Machine Learning Techniques
Pankaj V. Baviskar, Chitresh Nayak
Advances in computer science research (2023), pp. 382-396
Open Access
Condition Monitoring Scheduled Oil Sample on Crane Machine Using the Fuzzy Logic Methode
Syaiful Rizal, Kartika Sekarsari
Formosa Journal of Sustainable Research (2023) Vol. 2, Iss. 7, pp. 1627-1636
Open Access
Exploring Machine Learning Techniques to Maximize Efficiency in Construction Industry Electrical and Electronics Engineering Projects
Nwosu Obinnaya Chikezie Victor
International Journal of Artificial Intelligence and Machine Learning (2023) Vol. 3, Iss. 2, pp. 1-19
Open Access
Implementation of LIVE Digital Twin Enabled Smart Maintenance Using Smart Structural Sensors
Andrew E. Bondoc, M.J. Lopez, Ina Shilbayeh, et al.
(2023), pp. 1205-1212
Closed Access
An Unsupervised Machine Learning Framework for Availability Improvement of CT Systems
Ikenna Anthony Okaro, Olaf van der Burgt
2022 Annual Reliability and Maintainability Symposium (RAMS) (2022), pp. 1-6
Closed Access
Few-Shot Learning for Prescriptive Maintenance
Yang Zhao, Yajuan Sun, Linshan Jiang, et al.
Asian Society for Precision Engineering and Nanotechnology (ASPEN 2022) (2022), pp. 404-406
Open Access
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