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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:

Deep Learning for Forecasting-Based Applications in Cyber–Physical Microgrids: Recent Advances and Future Directions
Mohammad Reza Habibi, Saeed Golestan, Josep M. Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1685-1685
Open Access | Times Cited: 9

Showing 9 citing articles:

Enhancing operational reliability for high penetration of green hydrogen production in energy islands: A power-to-X case study
Alper Nabi Akpolat
International Journal of Hydrogen Energy (2025)
Closed Access
Electrical load forecasting in power systems based on quantum computing using time series-based quantum artificial intelligence
Mohammad Reza Habibi, Saeed Golestan, Yanpeng Wu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Combined Use of Python and DIgSILENT PowerFactory to Analyse Power Systems with Large Amounts of Variable Renewable Generation
Javier Jiménez-Ruiz, Andrés Honrubia‐Escribano, Emilio Gómez‐Lázaro
Electronics (2024) Vol. 13, Iss. 11, pp. 2134-2134
Open Access | Times Cited: 3
A critical review on intelligent-based techniques for detection and mitigation of cyberthreats and cascaded failures in cyber-physical power systems
Oluwaseun O. Tooki, Olawale Popoola
Renewable energy focus (2024) Vol. 51, pp. 100628-100628
Open Access | Times Cited: 3
Artificial intelligence for cybersecurity monitoring of cyber-physical power electronic converters: a DC/DC power converter case study
Mohammad Reza Habibi, Josep M. Guerrero, Juan C. Vásquez
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access | Times Cited: 1
Optimizing the deep learning parameters using metaheuristic algorithms for PV-battery-based DC nanogrids
Mohd Herwan Sulaiman, Zuriani Mustaffa, Amir Seyyedabbasi, et al.
International Journal of Ambient Energy (2024) Vol. 45, Iss. 1
Closed Access
Advancing Ultra-Short-Term Wind Power Forecasting with Multi-Channel ML Techniques
Jiapin Ren, Chenlin Zhu, Zeyu Huang, et al.
(2024), pp. 77-80
Closed Access
An Empirical Study into Quantum Machine Learning for Precise and Effective Weather Forecasting
Tinka Singh, C. Kishor Kumar Reddy, Kari Lippert, et al.
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2024), pp. 177-191
Closed Access
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