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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:

Predictive Maintenance for Pump Systems and Thermal Power Plants: State-of-the-Art Review, Trends and Challenges
Jonas Fausing Olesen, Hamid Reza Shaker
Sensors (2020) Vol. 20, Iss. 8, pp. 2425-2425
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

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
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
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
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44
Optimizing renewable energy systems through artificial intelligence: Review and future prospects
Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, et al.
Energy & Environment (2024) Vol. 35, Iss. 7, pp. 3833-3879
Open Access | Times Cited: 35
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
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
Exploring the Intersection of Machine Learning and Big Data: A Survey
Ηλίας Δρίτσας, Μαρία Τρίγκα
Machine Learning and Knowledge Extraction (2025) Vol. 7, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
A survey of fault prediction and location methods in electrical energy distribution networks
Rahman Dashti, Mohammad Daisy, Hamid Mirshekali, et al.
Measurement (2021) Vol. 184, pp. 109947-109947
Open Access | Times Cited: 92
Proton exchange membrane fuel cell system prognostics and decision-making: Current status and perspectives
Meiling Yue, Samir Jemeï, Noureddine Zerhouni, et al.
Renewable Energy (2021) Vol. 179, pp. 2277-2294
Open Access | Times Cited: 66
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
Review of Machine Learning Based Fault Detection for Centrifugal Pump Induction Motors
Cem Ekin Sunal, Vladimir Dyo, Vladan Velisavljević
IEEE Access (2022) Vol. 10, pp. 71344-71355
Open Access | Times Cited: 64
Geothermal 4.0: AI-enabled geothermal reservoir development- current status, potentials, limitations, and ways forward
Temoor Muther, Fahad I. Syed, Austin T. Lancaster, et al.
Geothermics (2022) Vol. 100, pp. 102348-102348
Closed Access | Times Cited: 49
A Novel Transfer Ensemble Learning Framework for Remaining Useful Life Prediction Under Multiple Working Conditions
Jilun Tian, Yuchen Jiang, Jiusi Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
Resiliency of forecasting methods in different application areas of smart grids: A review and future prospects
M. A. Rahman, Md. Rashidul Islam, Md. Alamgir Hossain, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108785-108785
Closed Access | Times Cited: 8
Data mining in predictive maintenance systems: A taxonomy and systematic review
Aurora Esteban, Amelia Zafra, Sebastián Ventura
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 28
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
A component diagnostic and prognostic framework for pump bearings based on deep learning with data augmentation
Andy Rivas, Gregory Delipei, Ian J. Davis, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110121-110121
Closed Access | Times Cited: 7
Physics-informed deep learning framework for explainable remaining useful life prediction
Minjae Kim, Sihyun Yoo, Seho Son, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110072-110072
Closed Access
Predictive maintenance of pumps in civil infrastructure: State-of-the-art, challenges and future directions
Seyed Mostafa Hallaji, Yihai Fang, Brandon K. Winfrey
Automation in Construction (2021) Vol. 134, pp. 104049-104049
Closed Access | Times Cited: 37
An integrated methodological approach for optimising complex systems subjected to predictive maintenance
Umair Ahmed, Silvia Carpitella, Antonella Certa
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108022-108022
Closed Access | Times Cited: 33
Digital Twin Science of Metal Powder Bed Fusion Additive Manufacturing: A Selective Review of Simulations for Integrated Computational Materials Engineering and Science
Yuichiro Koizumi, Masayuki OKUGAWA
ISIJ International (2022) Vol. 62, Iss. 11, pp. 2183-2196
Open Access | Times Cited: 22
Physics informed neural networks for fault severity identification of axial piston pumps
Zhiying Wang, Zheng Zhou, Wengang Xu, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 421-437
Closed Access | Times Cited: 13
Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models
Diego Cabrera, Rubén Medina, Mariela Cerrada, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1710-1710
Open Access | Times Cited: 4
Predictive maintenance of district heating networks: A comprehensive review of methods and challenges
Amir Rafati, Hamid Reza Shaker
Thermal Science and Engineering Progress (2024) Vol. 53, pp. 102722-102722
Open Access | Times Cited: 4
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