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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:

Machine learning in photovoltaic systems: A review
Jorge Felipe Gaviria, Gabriel Narváez, Camilo Andrés Guillén, et al.
Renewable Energy (2022) Vol. 196, pp. 298-318
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Raniyah Wazirali, Elnaz Yaghoubi, Mohammed Shadi S. Abujazar, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109792-109792
Closed Access | Times Cited: 110
Machine learning for forecasting a photovoltaic (PV) generation system
Connor Scott, Mominul Ahsan, Alhussein Albarbar
Energy (2023) Vol. 278, pp. 127807-127807
Open Access | Times Cited: 67
A data-driven framework for designing a renewable energy community based on the integration of machine learning model with life cycle assessment and life cycle cost parameters
Youssef Elomari, Carles Mateu, Marc Marín-Genescà, et al.
Applied Energy (2024) Vol. 358, pp. 122619-122619
Open Access | Times Cited: 16
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
Advances of machine learning in multi-energy district communities‒ mechanisms, applications and perspectives
Yuekuan Zhou
Energy and AI (2022) Vol. 10, pp. 100187-100187
Open Access | Times Cited: 65
Comparative Performance Analysis of PV Module Positions in a Solar PV Array Under Partial Shading Conditions
Hicham Oufettoul, Najwa Lamdihine, Saad Motahhir, et al.
IEEE Access (2023) Vol. 11, pp. 12176-12194
Open Access | Times Cited: 37
Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images
Hongzhi Mao, Xie Chen, Yongqiang Luo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 179, pp. 113276-113276
Open Access | Times Cited: 29
A Comprehensive Review of Supervised Learning Algorithms for the Diagnosis of Photovoltaic Systems, Proposing a New Approach Using an Ensemble Learning Algorithm
Guy M. Toche Tchio, Joseph Kenfack, Djima Kassegne, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2072-2072
Open Access | Times Cited: 14
A comprehensive review of unmanned aerial vehicle-based approaches to support photovoltaic plant diagnosis
Anna Michail, Andreas Livera, Georgios Tziolis, et al.
Heliyon (2024) Vol. 10, Iss. 1, pp. e23983-e23983
Open Access | Times Cited: 13
Harnessing AI for solar energy: Emergence of transformer models
Muhammad Fainan Hanif, Jianchun Mi
Applied Energy (2024) Vol. 369, pp. 123541-123541
Closed Access | Times Cited: 9
FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
Liang Lu, Tiecheng Su, Yuxiang Gao, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135716-135716
Closed Access | Times Cited: 31
Deep and Machine Learning Models to Forecast Photovoltaic Power Generation
Sergio Cantillo-Luna, Ricardo Moreno‐Chuquen, David Celeita, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4097-4097
Open Access | Times Cited: 19
Using Crested Porcupine Optimizer Algorithm and CNN-LSTM-Attention Model Combined with Deep Learning Methods to Enhance Short-Term Power Forecasting in PV Generation
Yiling Fan, Zhuang Ma, Wanwei Tang, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3435-3435
Open Access | Times Cited: 6
Energy-agriculture nexus: Exploring the future of artificial intelligence applications
Masud Kabir, Sami Ekici
Energy Nexus (2023) Vol. 13, pp. 100263-100263
Open Access | Times Cited: 14
Artificial Intelligence in Photovoltaic Fault Identification and Diagnosis: A Systematic Review
Mahmudul Islam, Masud Rana Rashel, Md Tofael Ahmed, et al.
Energies (2023) Vol. 16, Iss. 21, pp. 7417-7417
Open Access | Times Cited: 13
Supervised classification and fault detection in grid-connected PV systems using 1D-CNN: Simulation and real-time validation
Belqasem Aljafari, Priya Ranjan Satpathy, Thanikanti Sudhakar Babu, et al.
Energy Reports (2024) Vol. 12, pp. 2156-2178
Open Access | Times Cited: 4
Artificial bee colony optimization–based enhancement of output power generation in grid-connected photovoltaic systems
Samia Dziri, Soufiene Bouallègue, Mohammed Mazen Alhato, et al.
Transactions of the Institute of Measurement and Control (2025)
Closed Access
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, et al.
International Journal of Robust and Nonlinear Control (2025)
Open Access
Data-driven policy mapping for safe RL-based energy management systems
Théo Zangato, Aomar Osmani, Pegah Alizadeh
Energy Reports (2025) Vol. 13, pp. 1888-1909
Closed Access
Optimization assisted divide–combine approach to model cooling of a PV module equipped with TEG by using a trapezoidal shaped hybrid nano-enhanced cooling channel and performance estimation with generalized neural networks
Fatih Selımefendıgıl, Hakan F. Öztop
International Journal of Heat and Mass Transfer (2025) Vol. 241, pp. 126757-126757
Closed Access
Cooling of double PV-TEG combined units by using a T-shaped branching channel equipped with an inclined elastic fin
Fatih Selımefendıgıl, Hakan F. Öztop
Energy (2025), pp. 135030-135030
Closed Access
Data-driven modelling for electrolyte optimisation in dye-sensitised solar cells and photochromic solar cells
Johan Liotier, Antonio J. Riquelme, Valid Mwatati Mwalukuku, et al.
Materials Horizons (2025)
Open Access
Is the end of AI in photovoltaic power? Evidence from China
Haoran Zhang, Xiaohong Yu, Zixuan Gao
Energy Economics (2025), pp. 108423-108423
Closed Access
Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations
Panagiotis Michailidis, Iakovos Michailidis, Elias B. Kosmatopoulos
Energies (2025) Vol. 18, Iss. 7, pp. 1724-1724
Open Access
Two-stage Deep Q-Network Reinforcement Learning based Ultra-efficient Fault Diagnosis and Severity Assessment Scheme for Photovoltaic Protection
Sherko Salehpour, Aref Eskandari, Amir Nedaei, et al.
Energy and AI (2025), pp. 100512-100512
Open Access
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