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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:

Evolutionary artificial neural networks for accurate solar radiation prediction
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, et al.
Energy (2020) Vol. 210, pp. 118374-118374
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
Daniel Rangel-Martínez, K.D.P. Nigam, Luis Ricardez‐Sandoval
Process Safety and Environmental Protection (2021) Vol. 174, pp. 414-441
Closed Access | Times Cited: 181
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Yong Zhou, Yanfeng Liu, Dengjia Wang, et al.
Energy Conversion and Management (2021) Vol. 235, pp. 113960-113960
Closed Access | Times Cited: 179
LOWESS smoothing and Random Forest based GRU model: A short-term photovoltaic power generation forecasting method
Yeming Dai, Yanxin Wang, Mingming Leng, et al.
Energy (2022) Vol. 256, pp. 124661-124661
Closed Access | Times Cited: 77
Stacked LSTM Sequence-to-Sequence Autoencoder with Feature Selection for Daily Solar Radiation Prediction: A Review and New Modeling Results
Sujan Ghimire, Ravinesh C. Deo, Hua Wang, et al.
Energies (2022) Vol. 15, Iss. 3, pp. 1061-1061
Open Access | Times Cited: 76
Application of improved version of multi verse optimizer algorithm for modeling solar radiation
Rana Muhammad Adnan Ikram, Hongliang Dai, Ahmed A. Ewees, et al.
Energy Reports (2022) Vol. 8, pp. 12063-12080
Open Access | Times Cited: 73
Hybrid deep CNN-SVR algorithm for solar radiation prediction problems in Queensland, Australia
Sujan Ghimire, Binayak Bhandari, David Casillas-Pérez, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 112, pp. 104860-104860
Open Access | Times Cited: 71
Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer
Xiang Liu, Qingyu Liu, Shuai Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting
Hakan Açıkgöz
Applied Energy (2021) Vol. 305, pp. 117912-117912
Closed Access | Times Cited: 97
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: 95
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN-REGST hybrid model
Sujan Ghimire, Thong Nguyen‐Huy, Ravinesh C. Deo, et al.
Sustainable materials and technologies (2022) Vol. 32, pp. e00429-e00429
Closed Access | Times Cited: 69
Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Measurement (2022) Vol. 202, pp. 111759-111759
Open Access | Times Cited: 69
Development of a hybrid computational intelligent model for daily global solar radiation prediction
Leonardo Goliatt, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Expert Systems with Applications (2022) Vol. 212, pp. 118295-118295
Closed Access | Times Cited: 56
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
Javier Del Ser, David Casillas-Pérez, L. Cornejo-Bueno, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108526-108526
Open Access | Times Cited: 51
Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Renewable Energy (2022) Vol. 190, pp. 408-424
Closed Access | Times Cited: 46
A physical model with meteorological forecasting for hourly rooftop photovoltaic power prediction
Yuan Zhi, Tao Sun, Xudong Yang
Journal of Building Engineering (2023) Vol. 75, pp. 106997-106997
Closed Access | Times Cited: 36
Urban microclimate prediction based on weather station data and artificial neural network
Senwen Yang, Dongxue Zhan, T. Stathopoulos, et al.
Energy and Buildings (2024) Vol. 314, pp. 114283-114283
Open Access | Times Cited: 13
An optimized deep learning based hybrid model for prediction of daily average global solar irradiance using CNN SLSTM architecture
Yuvaraj Mariappan, Karthikeyan Ramasamy, Durgadevi Velusamy
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A comprehensive review of solar irradiation estimation and forecasting using artificial neural networks: data, models and trends
Naima El-Amarty, Manal Marzouq, Hakim El Fadili, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 3, pp. 5407-5439
Closed Access | Times Cited: 38
Predicting solar radiation for space heating with thermal storage system based on temporal convolutional network-attention model
Xiangfei Kong, Xinyu Du, Zhijie Xu, et al.
Applied Thermal Engineering (2022) Vol. 219, pp. 119574-119574
Closed Access | Times Cited: 32
Development and Comparison of Two Novel Hybrid Neural Network Models for Hourly Solar Radiation Prediction
Mustapha Mukhtar, Ariyo Oluwasanmi, Nasser Yimen, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1435-1435
Open Access | Times Cited: 31
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Olusola Bamisile, Dongsheng Cai, Ariyo Oluwasanmi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Random forest machine learning algorithm based seasonal multi‐step ahead short‐term solar photovoltaic power output forecasting
Sravankumar Jogunuri, F. T. Josh, Albert Alexander Stonier, et al.
IET Renewable Power Generation (2024)
Open Access | Times Cited: 7
Assessing new intra-daily temperature-based machine learning models to outperform solar radiation predictions in different conditions
Juan Antonio Bellido-Jiménez, Javier Estévez, A. P. García‐Marín
Applied Energy (2021) Vol. 298, pp. 117211-117211
Closed Access | Times Cited: 39
Solar irradiation prediction using empirical and artificial intelligence methods: A comparative review
Faisal Nawab, Ag Sufiyan Abd Hamid, Adnan Ibrahim, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e17038-e17038
Open Access | Times Cited: 16
Daily solar radiation estimation in Belleville station, Illinois, using ensemble artificial intelligence approaches
Fatemeh Sohrabi Geshnigani, Mohammad Reza Golabi, Rasoul Mirabbasi, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105839-105839
Closed Access | Times Cited: 14
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