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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:

Very Short-Term Power Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network
Yaser I. Alamin, Mensah K. Anaty, J.D. Álvarez, et al.
Energies (2020) Vol. 13, Iss. 13, pp. 3493-3493
Open Access | Times Cited: 13

Showing 13 citing articles:

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study
Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad, et al.
Energy Conversion and Management (2024) Vol. 306, pp. 118207-118207
Closed Access | Times Cited: 40
Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future
M. K. Nallakaruppan, Nathan Shankar, Prahal Bhagavath Bhuvanagiri, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 6, pp. 102740-102740
Open Access | Times Cited: 12
Efficient shrinkage temporal convolutional network model for photovoltaic power prediction
Min Wang, Congjun Rao, Xinping Xiao, et al.
Energy (2024) Vol. 297, pp. 131295-131295
Closed Access | Times Cited: 8
Artificial Intelligence (AI) in relation to environmental life-cycle assessment, photovoltaics, smart grids and small-island economies
Chr. Lamnatou, Christian Cristofari, Daniel Chemisana
Sustainable Energy Technologies and Assessments (2024) Vol. 71, pp. 104005-104005
Open Access | Times Cited: 3
A Comprehensive Application of Machine Learning Techniques for Short-Term Solar Radiation Prediction
Linhua Wang, Jiarong Shi
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 5808-5808
Open Access | Times Cited: 17
Novel PV Power Hybrid Prediction Model Based on FL Co-Training Method
Hongxi Wang, Hongtao Shen, Fei Li, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 730-730
Open Access | Times Cited: 5
The Potential of Green Hydrogen and Power-to-X Utilization in Jordanian Industries: Opportunities and Future Prospects
Hani Muhsen, Mohammed Al‐Mahmodi, Rashed Tarawneh, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 213-213
Open Access | Times Cited: 5
Application of Machine Learning to Predict I-V Characteristics of PV Modules Based on Steady-State Solar Simulator
Rafał Porowski, Robert Kowalik, Tomasz Gorzelnik, et al.
(2024)
Open Access | Times Cited: 1
Loss Prediction of Ultrahigh Voltage Transmission Lines Based on EEMD–LSTM–SVR Algorithm
Can Ding, Yiyuan Zhou, Qingchang Ding, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 4
ANN model of a triple-junction cell in concentrating photovoltaic system
C. Renno, Alessandro Perone, Olga Di Marino
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2024) Vol. 46, Iss. 6
Open Access
The impact of weather and panel characteristics features on photovoltaic power forecasting
Basma Saad, Asmaa El Hannani, Rahhal Errattahi, et al.
Materials Today Proceedings (2022) Vol. 66, pp. 289-294
Closed Access | Times Cited: 1
The Impact of Forecasting Horizon and Resolution on PV Power Prediction using Artificial Neural Networks
Basma Saad, Rahhal Errattahi, Asmaa El Hannani, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 1
Estimating the Maximum Power of a Concentrator Photovoltaic Module through Random Forest
Claudia N. Sánchez, Pedro M. Rodrigo
(2023), pp. 1-5
Closed Access
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