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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:

Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions
Latifa A. Yousef, Hibba Yousef, Lisandra Rocha‐Meneses
Energies (2023) Vol. 16, Iss. 24, pp. 8057-8057
Open Access | Times Cited: 19

Showing 19 citing articles:

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: 30
Human-Machine Nexus for Digital Rebound Fostering Futuristic Energy-Efficiency
Bhupinder Singh, Christian Kaunert
Practice, progress, and proficiency in sustainability (2024), pp. 222-244
Closed Access | Times Cited: 10
Edge AI: A Taxonomy, Systematic Review and Future Directions
Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu, et al.
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 8
The intelligent brain and the energy heart: Synergistic evolution of artificial intelligence and energy storage technology in China
Yan Chen, Jiayi Lyu, Umair Akram, et al.
Acta Psychologica (2025) Vol. 253, pp. 104711-104711
Closed Access
Overview of emerging electronics technologies for artificial intelligence: A review
Peng Gao, Muhammad Adnan
Materials Today Electronics (2025), pp. 100136-100136
Open Access
The Impact of Integrating Variable Renewable Energy Sources into Grid-Connected Power Systems: Challenges, Mitigation Strategies, and Prospects
Emmanuel Ejuh, Kang Roland Abeng, Chu Donatus Iweh, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 689-689
Open Access
A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration
P. Rajesh Kumar, Shravani Chapala, M. Rajitha, et al.
E3S Web of Conferences (2025) Vol. 616, pp. 03029-03029
Open Access
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
(2024)
Open Access | Times Cited: 3
Application of Quantum Neural Network for Solar Irradiance Forecasting: A Case Study Using the Folsom Dataset, California
Victor Oliveira Santos, Felipe Pinto Marinho, Paulo Alexandre Costa Rocha, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3580-3580
Open Access | Times Cited: 3
Digital Twins in 3D Printing Processes Using Artificial Intelligence
Izabela Rojek, Tomasz Marciniak, Dariusz Mikołajewski
Electronics (2024) Vol. 13, Iss. 17, pp. 3550-3550
Open Access | Times Cited: 3
Does artificial intelligence increase learners’ sustainability in higher education: insights from Bangladesh
Rebaka Sultana, Mohammad Faruk
Journal of Data Information and Management (2024) Vol. 6, Iss. 2, pp. 161-172
Closed Access | Times Cited: 2
Abundance Ocean Wave Energy to Electricity With Artificial Intelligence and IoT Solutions
Bhupinder Singh, Christian Kaunert, S. S. Lal, et al.
Practice, progress, and proficiency in sustainability (2024), pp. 274-298
Closed Access | Times Cited: 2
Comparative Analysis of Solar Radiation Forecasting Techniques in Zacatecas, Mexico
Martha Isabel Escalona-Llaguno, Luis Octavio Solís-Sánchez, Celina Lizeth Castañeda-Miranda, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7449-7449
Open Access | Times Cited: 1
A bibliometric review of hybrid offshore renewable energy and the optimization methods
Hifsa Khurshid, Cheng Yee Ng, Bashar S. Mohammed
Ocean Engineering (2024) Vol. 312, pp. 119089-119089
Closed Access | Times Cited: 1
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 1
Influence of air flow features on alpine wind energy potential
Fanny Kristianti, Franziska Gerber, Sergi González, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Artificial Neural Network Model for Estimating the Pelton Turbine Shaft Power of a Micro-Hydropower Plant under Different Operating Conditions
Raúl R. Delgado-Currín, Williams R. Calderón-Muñoz, J.C. Elicer-Cortés
Energies (2024) Vol. 17, Iss. 14, pp. 3597-3597
Open Access
Predicting Power Generation from Photovoltaic Energy System
Ana Paula Aravena-Cifuentes, J. David Núñez-González, Daniel Morejón Roldán, et al.
Lecture notes in networks and systems (2024), pp. 208-220
Closed Access
Featuring Wave and Tidal Energy Conversion With Artificial Intelligence and Machine Learning
Laeeq Razzak Janjua
Practice, progress, and proficiency in sustainability (2024), pp. 59-82
Closed Access
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