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:

A support vector machine–firefly algorithm-based model for global solar radiation prediction
Lanre Olatomiwa, Saad Mekhilef, Shahaboddin Shamshirband, et al.
Solar Energy (2015) Vol. 115, pp. 632-644
Closed Access | Times Cited: 333

Showing 26-50 of 333 citing articles:

Deep learning and wavelet transform integrated approach for short-term solar PV power prediction
Manohar Mishra, Pandit Byomakesha Dash, Janmenjoy Nayak, et al.
Measurement (2020) Vol. 166, pp. 108250-108250
Closed Access | Times Cited: 150

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

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: 71

A state of art review on estimation of solar radiation with various models
Ali Etem Gürel, Ümit Ağbulut, Hüseyin Bakır, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13167-e13167
Open Access | Times Cited: 43

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

A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)
Abbas Rohani, Morteza Taki, Masoumeh Abdollahpour
Renewable Energy (2017) Vol. 115, pp. 411-422
Closed Access | Times Cited: 168

Input selection and performance optimization of ANN-based streamflow forecasts in the drought-prone Murray Darling Basin region using IIS and MODWT algorithm
Ramendra Prasad, Ravinesh C. Deo, Yan Li, et al.
Atmospheric Research (2017) Vol. 197, pp. 42-63
Closed Access | Times Cited: 167

Deep photovoltaic nowcasting
Jinsong Zhang, Rodrigo Verschae, Shohei Nobuhara, et al.
Solar Energy (2018) Vol. 176, pp. 267-276
Open Access | Times Cited: 160

Hybrid renewable energy supply for rural healthcare facilities: An approach to quality healthcare delivery
Lanre Olatomiwa, Richard E. Blanchard, Saad Mekhilef, et al.
Sustainable Energy Technologies and Assessments (2018) Vol. 30, pp. 121-138
Open Access | Times Cited: 157

Estimation of daily global solar radiation using deep learning model
Kazım Kaba, Mehmet Sarıgül, Mutlu Avcı, et al.
Energy (2018) Vol. 162, pp. 126-135
Closed Access | Times Cited: 142

Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
Behrooz Keshtegar, Cihan Mert, Özgür Kişi
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 330-341
Closed Access | Times Cited: 136

Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions
Junliang Fan, Baiquan Chen, Lifeng Wu, et al.
Energy (2017) Vol. 144, pp. 903-914
Closed Access | Times Cited: 135

New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: A case study in South China
Junliang Fan, Xiukang Wang, Lifeng Wu, et al.
Energy Conversion and Management (2017) Vol. 156, pp. 618-625
Closed Access | Times Cited: 134

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data
Ravinesh C. Deo, Mohammad Ali Ghorbani, Saeed Samadianfard, et al.
Renewable Energy (2017) Vol. 116, pp. 309-323
Closed Access | Times Cited: 133

Forecasting pan evaporation with an integrated artificial neural network quantum-behaved particle swarm optimization model: a case study in Talesh, Northern Iran
Mohammad Ali Ghorbani, Reza Kazempour, Kwok‐wing Chau, et al.
Engineering Applications of Computational Fluid Mechanics (2018) Vol. 12, Iss. 1, pp. 724-737
Open Access | Times Cited: 129

Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm
Ibrahim Olanrewaju Alade, Mohd Amiruddin Abd Rahman, Tawfik A. Saleh
Solar Energy (2019) Vol. 183, pp. 74-82
Closed Access | Times Cited: 127

Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
Mohammad Ali Ghorbani, Ravinesh C. Deo, Vahid Karimi, et al.
Stochastic Environmental Research and Risk Assessment (2017) Vol. 32, Iss. 6, pp. 1683-1697
Closed Access | Times Cited: 123

Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
Ali Kalantari, Amirrudin Kamsin, Shahab S. Band, et al.
Neurocomputing (2017) Vol. 276, pp. 2-22
Open Access | Times Cited: 122

Using self-adaptive evolutionary algorithm to improve the performance of an extreme learning machine for estimating soil temperature
Behnaz Nahvi, Jafar Habibi, Kasra Mohammadi, et al.
Computers and Electronics in Agriculture (2016) Vol. 124, pp. 150-160
Closed Access | Times Cited: 118

Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
Shahaboddin Shamshirband, Kasra Mohammadi, Hossein Khorasanizadeh, et al.
Renewable and Sustainable Energy Reviews (2015) Vol. 56, pp. 428-435
Closed Access | Times Cited: 117

Comparison of artificial intelligence methods in estimation of daily global solar radiation
Ali Khosravi, Raphael Nunes, Mamdouh El Haj Assad, et al.
Journal of Cleaner Production (2018) Vol. 194, pp. 342-358
Closed Access | Times Cited: 115

Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions
Lifeng Wu, Guomin Huang, Junliang Fan, et al.
Energy Conversion and Management (2019) Vol. 183, pp. 280-295
Closed Access | Times Cited: 111

Comparison of artificial intelligence techniques via empirical equations for prediction of solar radiation
Hatice Çıtakoğlu
Computers and Electronics in Agriculture (2015) Vol. 118, pp. 28-37
Closed Access | Times Cited: 110

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