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:

The benefits of predictive maintenance in manufacturing excellence: a case study to establish reliable methods for predicting failures
Anwar Meddaoui, Mustapha Hain, Adil Hachmoud
The International Journal of Advanced Manufacturing Technology (2023) Vol. 128, Iss. 7-8, pp. 3685-3690
Open Access | Times Cited: 16

Showing 16 citing articles:

Advanced ML for predictive maintenance: a case study on remaining useful life prediction and reliability enhancement
Anwar Meddaoui, Adil Hachmoud, Mustapha Hain
The International Journal of Advanced Manufacturing Technology (2024) Vol. 132, Iss. 1-2, pp. 323-335
Open Access | Times Cited: 5

Maintenance Decision-Making Using Intelligent Prognostics Within a Single Spare Parts Support System
Bowei Zhang, Changhua Hu, Jianfei Zheng, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 837-837
Open Access

Innovative predictive maintenance for mining grinding mills: from LSTM-based vibration forecasting to pixel-based MFCC image and CNN
Ayoub Rihi, Salah Baïna, Fatima-Zahra Mhada, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 135, Iss. 3-4, pp. 1271-1289
Closed Access | Times Cited: 2

Analysis of models for IoT-driven predictive maintenance under constraints in the case of the biopharmaceutical industry
Florent Wadel, Rémy Houssin, Amadou Coulibaly, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2

Optimizing burn-in and predictive maintenance for enhanced reliability in manufacturing systems: A two-unit series system approach
A. Faizanbasha, U. Rizwan
Journal of Manufacturing Systems (2024) Vol. 78, pp. 244-270
Closed Access | Times Cited: 2

Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations
Amruta Awasthi, Lenka Krpálková, J. L. Walsh
Algorithms (2024) Vol. 17, Iss. 8, pp. 333-333
Open Access | Times Cited: 1

Artificial intelligence for predicting water dynamics in andean paramo: a comprehensive systematic review
Hala Mellouli, Anwar Meddaoui, Abdelhamid Zaki
Data & Metadata (2024) Vol. 3, pp. 391-391
Closed Access | Times Cited: 1

Manufacturing 4.0: AI-Driven Analytics for Predictive Maintenance
Gautam Ulhas Parab
International Journal For Multidisciplinary Research (2024) Vol. 6, Iss. 6
Closed Access

Advanced ML for Predictive Maintenance: Case Study on Remaining Useful Life Prediction and Reliability Enhancement
Anwar Meddaoui, Adil Hachmoud, Mustapha Hain
Research Square (Research Square) (2024)
Open Access

Real-Time Predictive Maintenance-Based Process Parameters: Towards an Industrial Sustainability Improvement
Hassana Mahfoud, Oussama Moutaoukil, Mohammed Toum Benchekroun, et al.
Lecture notes in networks and systems (2024), pp. 18-34
Closed Access

Enhancing industrial decision-making through ML-integrated frameworks and multi-criteria decision-making approach
Eng. Mellouli Hala, Anwar Meddaoui, Zaki Abdelhamid
Research Square (Research Square) (2024)
Open Access

Microaggregation-Based Defense Against Synonymous Linkages in IIoT Asset Tracking
Anselme Herman Eyeleko, Tao Feng, Yan Yan, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39236-39275
Closed Access

Integration of Big Data and Machine Learning Solutions as Preventive Maintenance Strategies to Improve Manufacturing Productivity
Bryan Keane, Zhi Min Lim, Ahmed Rafat Elkilany, et al.
Lecture notes in electrical engineering (2024), pp. 11-18
Closed Access

DLT-GAN: Dual-Layer Transfer Generative Adversarial Network-Based Time Series Data Augmentation Method
Zirui Chen, Yan Pang, Shuowei Jin, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4514-4514
Open Access

AIdriven Strategy for Predicting Equipment Failure in Manufacturing
Mandar Diwakar, Shilpa Sharma, Ritika Dhabliya, et al.
(2023), pp. 1-5
Closed Access

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