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:

A Predictive Maintenance Model Using Recurrent Neural Networks
Alberto Rivas, Jesús M. Fraile, Pablo Chamoso, et al.
Advances in intelligent systems and computing (2019), pp. 261-270
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

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: 386
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
Digital Twin Platform for Water Treatment Plants Using Microservices Architecture
Carlos Rodríguez-Alonso, Iván Pena-Regueiro, Óscar García
Sensors (2024) Vol. 24, Iss. 5, pp. 1568-1568
Open Access | Times Cited: 8
Predicting Failure Probability in Industry 4.0 Production Systems: A Workload-Based Prognostic Model for Maintenance Planning
Giuseppe Converso, Mosè Gallo, Teresa Murino, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1938-1938
Open Access | Times Cited: 14
A Novel Hybrid Deep Learning Model for Complex Systems: A Case of Train Delay Prediction
Dawei Wang, Jingwei Guo, Chunyang Zhang
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 5
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli
IEEE Access (2024) Vol. 12, pp. 96946-96996
Open Access | Times Cited: 5
Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins
Perin Ünal, Özlem Albayrak, Moez Jomâa, et al.
Springer eBooks (2022), pp. 299-319
Closed Access | Times Cited: 20
A hybrid of convolutional neural network and long short-term memory network approach to predictive maintenance
Ahmed R. Nasser, Huthaifa Al-Khazraji
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 12, Iss. 1, pp. 721-721
Open Access | Times Cited: 19
INTEGRATING SENSOR DATA AND MACHINE LEARNING FOR PREDICTIVE MAINTENANCE IN INDUSTRY 4.0
Manish Shrivastava, Priyank Singhal, J Bhuvana
Proceedings on Engineering Sciences (2023) Vol. 5, Iss. S1, pp. 55-62
Open Access | Times Cited: 7
Data-Driven Forecasting for Anomaly Detection in a Compressor Unit
Aycan Sapmaz, Asli Yasmal, Gizem Kuşoğlu Kaya, et al.
Computer-aided chemical engineering/Computer aided chemical engineering (2024), pp. 3121-3126
Closed Access | Times Cited: 2
A New Methodological Framework for Optimizing Predictive Maintenance Using Machine Learning Combined with Product Quality Parameters
Carlo Riccio, Marialuisa Menanno, Ilenia Zennaro, et al.
Machines (2024) Vol. 12, Iss. 7, pp. 443-443
Open Access | Times Cited: 2
A Review of the Main Machine Learning Methods for Predicting Residential Energy Consumption
Alfonso González‐Briones, Guillermo Hernández, Tiago Pinto, et al.
2022 18th International Conference on the European Energy Market (EEM) (2019), pp. 1-6
Open Access | Times Cited: 21
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
Francisco Martínez‐Álvarez, Alicia Troncoso, José António Sáez Muñoz, et al.
Advances in intelligent systems and computing (2019)
Closed Access | Times Cited: 20
Improved GRU prediction of paper pulp press variables using different pre-processing methods
Balduíno César Mateus, Mateus Mendes, José Torres Farinha, et al.
Production & Manufacturing Research (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Industry 4.0 Approach in Intelligent Manufacturing
Archana Sharma, Purnima Gupta
Advances in logistics, operations, and management science book series (2024), pp. 65-88
Closed Access | Times Cited: 1
Disrupting Downtime: Different Deep Learning Journeys into Predictive Maintenance Anomaly Detection
Hayriye Tanyıldız, Canan Batur Şahin, Özlem BATUR DİNLER
NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University (2024)
Open Access | Times Cited: 1
Technical Diagnostics of Industrial Robots Using Vibration Signals: Case Study on Detecting Base Unfastening
D. V. Fedorova, Vladimír Tlach, Ivan Kuric, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 270-270
Open Access | Times Cited: 1
Anomaly Detection and Classification in Predictive Maintenance Tasks with Zero Initial Training
Filippo Morselli, Luca Bedogni, Umberto Mirani, et al.
IoT (2021) Vol. 2, Iss. 4, pp. 590-609
Open Access | Times Cited: 8
A Goal Programming-Based Methodology for Machine Learning Model Selection Decisions: A Predictive Maintenance Application
Ioannis Mallidis, Volha Yakavenka, Anastasios Konstantinidis, et al.
Mathematics (2021) Vol. 9, Iss. 19, pp. 2405-2405
Open Access | Times Cited: 4
An evaluation of the Long Short-Term Memory model for predictive maintenance applications in the aircraft industry
Devesh Mothilall, Terence L. van Zyl
(2024), pp. 1-5
Closed Access
Experimental Testing of Using the Artificial Neural Networks in Diagnostic Systems for Assessing and Predicting the Technical Condition of Rotorcraft Units
А. Б. Бельский, O. A. Esipovich, B. B. Safoklov
Russian Aeronautics (2024) Vol. 67, Iss. 1, pp. 119-126
Closed Access
Convergence of AI Techniques in Enabling Sustainability Practices for Industry 5.0
Edward Nkadimeng, Thuso Mathaha
(2024), pp. 177-197
Closed Access
Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection
Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik
Sensors (2024) Vol. 25, Iss. 1, pp. 137-137
Open Access
Ensuring Data Privacy in Open Data Platforms for Smart Cities
Juan Antonio González-Ramos, Francisco Pinto-Santos, Alesandro Gómez-Villar, et al.
Lecture notes in networks and systems (2023), pp. 33-42
Closed Access | Times Cited: 1
AI-Based Platform for Smart Cities Urban Infrastructure Monitorization
Francisco Pinto-Santos, Juan Antonio González-Ramos, J. de Curtò, et al.
Lecture notes in networks and systems (2023), pp. 264-274
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top