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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:

Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks
Md. Mijanur Rahman, Mohammad Shakeri, Tiong Sieh Kiong, et al.
Sustainability (2021) Vol. 13, Iss. 4, pp. 2393-2393
Open Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Review of electric vehicle energy storage and management system: Standards, issues, and challenges
Mohammad Kamrul Hasan, Md Mahmud, A.K.M. Ahasan Habib, et al.
Journal of Energy Storage (2021) Vol. 41, pp. 102940-102940
Open Access | Times Cited: 237
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Tobi Michael Alabi, Emmanuel Imuetinyan Aghimien, Favour David Agbajor, et al.
Renewable Energy (2022) Vol. 194, pp. 822-849
Closed Access | Times Cited: 126
Weather Forecasting for Renewable Energy System: A Review
R. Meenal, D. Binu, K. C. Ramya, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 2875-2891
Closed Access | Times Cited: 99
Decision-making and optimal design of green energy system based on statistical methods and artificial neural network approaches
Mohamed Mahmoud Samy, Rabia Emhamed Al Mamlook, Heba I. Elkhouly, et al.
Sustainable Cities and Society (2022) Vol. 84, pp. 104015-104015
Closed Access | Times Cited: 84
Forecasting solar energy production: A comparative study of machine learning algorithms
Younes Ledmaoui, Adila El Maghraoui, Mohamed El Aroussi, et al.
Energy Reports (2023) Vol. 10, pp. 1004-1012
Open Access | Times Cited: 56
Machine learning solutions for renewable energy systems: Applications, challenges, limitations, and future directions
Zaid Allal, Hassan Noura, Ola Salman, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120392-120392
Closed Access | Times Cited: 28
AI‐driven adaptive learning for sustainable educational transformation
Wadim Striełkowski, Вероника Гребенникова, Alexander Lisovskiy, et al.
Sustainable Development (2024)
Open Access | Times Cited: 20
Advancements in hydrogen production through the integration of renewable energy sources with AI techniques: A comprehensive literature review
Mohammad Abdul Baseer, Prashant Kumar, Erick Giovani Sperandio Nascimento
Applied Energy (2025) Vol. 383, pp. 125354-125354
Closed Access | Times Cited: 2
Hybrid humidification-dehumidification with renewable energy integration for enhanced desalination: An overview
A.E. Kabeel, M.A. Elazab, Mohamed Ragab Diab, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 211, pp. 115313-115313
Closed Access | Times Cited: 1
Artificial intelligence application for the performance prediction of a clean energy community
Domenico Mazzeo, Münür Sacit Herdem, Nicoletta Matera, et al.
Energy (2021) Vol. 232, pp. 120999-120999
Closed Access | Times Cited: 93
Artificial intelligence driven hydrogen and battery technologies – A review
A. Ramesh, S. Vigneshwar, Sundaram Vickram, et al.
Fuel (2022) Vol. 337, pp. 126862-126862
Closed Access | Times Cited: 61
A Review on ANN Based Model for Solar Radiation and Wind Speed Prediction with Real-Time Data
Pooja Malik, Anita Gehlot, Rajesh Singh, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3183-3201
Closed Access | Times Cited: 58
A survey on multi-criterion decision parameters, integration layout, storage technologies, sizing methodologies and control strategies for integrated renewable energy system
Shubhangi Mishra, Gaurav Saini, Saikat Saha, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 102246-102246
Closed Access | Times Cited: 38
Artificial Deep Neural Network in Hybrid PV System for Controlling the Power Management
Satyajeet Sahoo, T. M. Amirthalakshmi, S. Ramesh, et al.
International Journal of Photoenergy (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 37
Forecasting renewable energy generation with a novel flexible nonlinear multivariable discrete grey prediction model
Yuanping Ding, Yaoguo Dang
Energy (2023) Vol. 277, pp. 127664-127664
Closed Access | Times Cited: 30
Prediction of Wind Power with Machine Learning Models
Ömer Ali Karaman
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11455-11455
Open Access | Times Cited: 28
Advanced ocean wave energy harvesting: current progress and future trends
Fang He, Yibei Liu, Jiapeng Pan, et al.
Journal of Zhejiang University. Science A (2023) Vol. 24, Iss. 2, pp. 91-108
Closed Access | Times Cited: 27
Renewable energy sources integration via machine learning modelling: A systematic literature review
Talal Alazemi, Mohamed Darwish, Mohammed Radi
Heliyon (2024) Vol. 10, Iss. 4, pp. e26088-e26088
Open Access | Times Cited: 14
Readiness of artificial intelligence technology for managing energy demands from renewable sources
Jaya Verma, Laura Sandys, A. Matthews, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108831-108831
Open Access | Times Cited: 9
Comparative study of univariate and multivariate strategy for short-term forecasting of heat demand density: Exploring single and hybrid deep learning models
Sajad Salehi, Miroslava Kavgic, Hossein Bonakdari, et al.
Energy and AI (2024) Vol. 16, pp. 100343-100343
Open Access | Times Cited: 8
A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting
Md. Mijanur Rahman, Mohammad Shakeri, Fatema Khatun, et al.
Journal of Reliable Intelligent Environments (2022) Vol. 9, Iss. 2, pp. 183-200
Closed Access | Times Cited: 28
Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117707-117707
Open Access | Times Cited: 18
Exploiting Digitalization of Solar PV Plants Using Machine Learning: Digital Twin Concept for Operation
Tolga Yalçin, Pol Paradell, Paschalia Stefanidou-Voziki, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 5044-5044
Open Access | Times Cited: 16
A short- and medium-term forecasting model for roof PV systems with data pre-processing
Dasheng Lee, Chih-Wei Lai, Shih-Kai Fu
Heliyon (2024) Vol. 10, Iss. 6, pp. e27752-e27752
Open Access | Times Cited: 5
Reviewing the impact of AI on renewable energy efficiency and management
Adetomi Adewumi, Chinelo Emilia Okoli, Favour Oluwadamilare Usman, et al.
International Journal of Science and Research Archive (2024) Vol. 11, Iss. 1, pp. 1518-1527
Open Access | Times Cited: 5
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