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:

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: 41

Showing 1-25 of 41 citing articles:

Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency
Rashin Mousavi, Arash Kheyraddini Mousavi, Yashar Mousavi, et al.
Applied Energy (2025) Vol. 382, pp. 125296-125296
Open Access | Times Cited: 2

Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems
Ismail Elabbassi, Mohamed Khala, Naima Elyanboiy, et al.
Results in Engineering (2024) Vol. 21, pp. 101888-101888
Open Access | Times Cited: 13

Failure analysis in predictive maintenance: Belt drive diagnostics with expert systems and Taguchi method for unconventional vibration features
Ahmed Adnan Shandookh, Ahmed Ali Farhan Ogaili, Luttfi A. Al-Haddad
Heliyon (2024) Vol. 10, Iss. 13, pp. e34202-e34202
Open Access | Times Cited: 12

Machine Learning Models for Solar Power Generation Forecasting in Microgrid Application Implications for Smart Cities
Pannee Suanpang, Pitchaya Jamjuntr
Sustainability (2024) Vol. 16, Iss. 14, pp. 6087-6087
Open Access | Times Cited: 10

Contributions of artificial intelligence and digitization in achieving clean and affordable energy
Omojola Awogbemi, Daramy Vandi Von Kallon, K. Sunil Kumar
Intelligent Systems with Applications (2024) Vol. 22, pp. 200389-200389
Open Access | Times Cited: 9

Improving power output wind turbine in micro-grids assisted virtual wind speed prediction
Maryam Ozbak, Mahdi Ghazizadeh‐Ahsaee, Mahmoud Ahrari, et al.
Sustainable Operations and Computers (2024) Vol. 5, pp. 119-130
Open Access | Times Cited: 8

Ultra High-Speed Fault Diagnosis Scheme for DC Distribution Systems Based on Discrete Median Filter and Mathematical Morphology
Faisal Mumtaz, Taha Saeed Khan, Mohammed H. Alqahtani, et al.
IEEE Access (2024) Vol. 12, pp. 45796-45810
Closed Access | Times Cited: 5

Cybersecurity in microgrids: A review on advanced techniques and practical implementation of resilient energy systems
Ijaz Ahmed, Ali M. El‐Rifaie, F. Akhtar, et al.
Energy Strategy Reviews (2025) Vol. 58, pp. 101654-101654
Open Access

Federated Learning and Neural Circuit Policies: A Novel Framework for Anomaly Detection in Energy-Intensive Machinery
Giulia Palma, Giovanni Geraci, Antonio Rizzo
Energies (2025) Vol. 18, Iss. 4, pp. 936-936
Open Access

Advanced Deep Learning Based Predictive Maintenance of DC Microgrids: Correlative Analysis
M.Y. Arafat, M. J. Hossain, Li Li
Energies (2025) Vol. 18, Iss. 6, pp. 1535-1535
Open Access

Advancing Power System Services With Privacy-Preserving Federated Learning Techniques: A Review
Ran Zheng, Andreas Sumper, Mònica Aragüés‐Peñalba, et al.
IEEE Access (2024) Vol. 12, pp. 76753-76780
Open Access | Times Cited: 4

Cutting-Edge AI Approaches with MAS for PdM in Industry 4.0: Challenges and Future Directions
Shadia Yahya Baroud
Journal of Applied Data Sciences (2024) Vol. 5, Iss. 2, pp. 455-473
Open Access | Times Cited: 3

An overview of Artificial Intelligence applications to electrical power systems and DC microgrids
M. Rajitha, A. Raghu Ram
E3S Web of Conferences (2024) Vol. 547, pp. 01002-01002
Open Access | Times Cited: 3

AI Technologies and Their Applications in Small-Scale Electric Power Systems
Arqum Shahid, Freddy Plaum, Tarmo Korõtko, et al.
IEEE Access (2024) Vol. 12, pp. 109984-110001
Open Access | Times Cited: 3

Energy Intelligence: A Systematic Review of Artificial Intelligence for Energy Management
Ashkan Safari, Mohammadreza Daneshvar, Amjad Anvari‐Moghaddam
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11112-11112
Open Access | Times Cited: 3

Machine Learning for Anomaly Detection in Electric Transportation Networks
Kseniia Iurevna Usanova, Gongada Sandhya Rani, Neeti Mishra, et al.
E3S Web of Conferences (2024) Vol. 511, pp. 01039-01039
Open Access | Times Cited: 2

A data-driven target-oriented robust optimization framework: bridging machine learning and optimization under uncertainty
Jayne Lois San Juan, Charlle Sy
Journal of Industrial and Production Engineering (2024) Vol. 41, Iss. 7, pp. 636-660
Closed Access | Times Cited: 2

Review of energy management systems and optimization methods for hydrogen‐based hybrid building microgrids
Fahad Ali Sarwar, Ignacio Hernando‐Gil, Ionel Vechiu
Energy Conversion and Economics (2024) Vol. 5, Iss. 4, pp. 259-279
Open Access | Times Cited: 2

Digital twin-enhanced opportunistic maintenance of smart microgrids based on the risk-importance measure
Hongyan Dui, Songru Zhang, Xinghui Dong, et al.
Reliability Engineering & System Safety (2024), pp. 110548-110548
Closed Access | Times Cited: 2

Hybrid AC/DC Microgrid: Systematic Evaluation of Interlinking Converters, Control Strategies, and Protection Schemes: A Review
Muhammad Yasir Ali Khan, Haoming Liu, Yuquan Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 160097-160132
Open Access | Times Cited: 2

Machine learning approaches for fault detection in renewable microgrids
Amit Dutt, G. Karuna
MATEC Web of Conferences (2024) Vol. 392, pp. 01192-01192
Open Access | Times Cited: 1

Enhancing Predictive Maintenance in Water Treatment Plants through Sparse Autoencoder Based Anomaly Detection
Zain Hussein, V Balaji, R Ramesh, et al.
Journal of Machine and Computing (2024), pp. 279-289
Open Access | Times Cited: 1

Machine Learning Approaches for Fault Detection in Renewable Microgrids
Amit Dutt, M N Sandhya Rani, Manbir Singh Bisht, et al.
E3S Web of Conferences (2024) Vol. 511, pp. 01030-01030
Open Access | Times Cited: 1

Page 1 - Next Page

Scroll to top