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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:

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 1-25 of 333 citing articles:

Solar photovoltaic generation forecasting methods: A review
Sobrina Sobri, Sam Koohi-Kamalі, Nasrudin Abd Rahim
Energy Conversion and Management (2017) Vol. 156, pp. 459-497
Closed Access | Times Cited: 786
Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
Junliang Fan, Xiukang Wang, Lifeng Wu, et al.
Energy Conversion and Management (2018) Vol. 164, pp. 102-111
Closed Access | Times Cited: 523
Application of support vector machine models for forecasting solar and wind energy resources: A review
Alireza Zendehboudi, M.A. Baseer, R. Saidur
Journal of Cleaner Production (2018) Vol. 199, pp. 272-285
Closed Access | Times Cited: 508
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
Muhammad Naveed Akhter, Saad Mekhilef, Hazlie Mokhlis, et al.
IET Renewable Power Generation (2019) Vol. 13, Iss. 7, pp. 1009-1023
Open Access | Times Cited: 365
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
Ravinesh C. Deo, Xiaohu Wen, Qi Feng
Applied Energy (2016) Vol. 168, pp. 568-593
Closed Access | Times Cited: 330
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Sohrab Zendehboudi, Nima Rezaei, Ali Lohi
Applied Energy (2018) Vol. 228, pp. 2539-2566
Closed Access | Times Cited: 316
Renewable energy: Present research and future scope of Artificial Intelligence
Sunil Kumar Jha, Jasmin Bilalovic, Anju Jha, et al.
Renewable and Sustainable Energy Reviews (2017) Vol. 77, pp. 297-317
Closed Access | Times Cited: 289
Solar radiation prediction using different techniques: model evaluation and comparison
Lunche Wang, Özgür Kişi, Mohammad Zounemat‐Kermani, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 61, pp. 384-397
Open Access | Times Cited: 277
Deep learning models for solar irradiance forecasting: A comprehensive review
Pratima Kumari, Durga Toshniwal
Journal of Cleaner Production (2021) Vol. 318, pp. 128566-128566
Closed Access | Times Cited: 264
ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
Victor H. Quej, Javier Almorox, Javier Arnaldo, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2017) Vol. 155, pp. 62-70
Open Access | Times Cited: 263
Taxonomy research of artificial intelligence for deterministic solar power forecasting
Huaizhi Wang, Yangyang Liu, Bin Zhou, et al.
Energy Conversion and Management (2020) Vol. 214, pp. 112909-112909
Closed Access | Times Cited: 263
Short-Term Photovoltaic Power Forecasting Using an LSTM Neural Network and Synthetic Weather Forecast
Mohammad Safayet Hossain, Hisham Mahmood
IEEE Access (2020) Vol. 8, pp. 172524-172533
Open Access | Times Cited: 258
A critical review of the models used to estimate solar radiation
Jianyuan Zhang, Li Zhao, Shuai Deng, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 70, pp. 314-329
Closed Access | Times Cited: 253
Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China
Junliang Fan, Lifeng Wu, Fucang Zhang, et al.
Renewable and Sustainable Energy Reviews (2018) Vol. 100, pp. 186-212
Open Access | Times Cited: 253
Short-term PV power forecasting using hybrid GASVM technique
William VanDeventer, Elmira Jamei, Gokul Sidarth Thirunavukkarasu, et al.
Renewable Energy (2019) Vol. 140, pp. 367-379
Closed Access | Times Cited: 247
A review on the selected applications of forecasting models in renewable power systems
Adil Ahmed, Muhammad Khalid
Renewable and Sustainable Energy Reviews (2018) Vol. 100, pp. 9-21
Closed Access | Times Cited: 239
A novel hybrid model for hourly global solar radiation prediction using random forests technique and firefly algorithm
Ibrahim Anwar Ibrahim, Tamer Khatib
Energy Conversion and Management (2017) Vol. 138, pp. 413-425
Closed Access | Times Cited: 238
A comprehensive review of hybrid models for solar radiation forecasting
Mawloud Guermoui, Farid Melgani, Kacem Gairaa, et al.
Journal of Cleaner Production (2020) Vol. 258, pp. 120357-120357
Closed Access | Times Cited: 225
Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
Babak Mohammadi, Saeid Mehdizadeh
Agricultural Water Management (2020) Vol. 237, pp. 106145-106145
Closed Access | Times Cited: 218
Quantifying rooftop photovoltaic solar energy potential: A machine learning approach
Dan Assouline, Nahid Mohajeri, Jean‐Louis Scartezzini
Solar Energy (2016) Vol. 141, pp. 278-296
Closed Access | Times Cited: 207
A review on modeling of solar photovoltaic systems using artificial neural networks, fuzzy logic, genetic algorithm and hybrid models
Kunal Sandip Garud, S. Jayaraj, Moo‐Yeon Lee
International Journal of Energy Research (2020) Vol. 45, Iss. 1, pp. 6-35
Open Access | Times Cited: 206
Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms
Ali Khosravi, R.N.N. Koury, Luiz Machado, et al.
Journal of Cleaner Production (2017) Vol. 176, pp. 63-75
Closed Access | Times Cited: 196
Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland
Ravinesh C. Deo, Mehmet Şahin
Renewable and Sustainable Energy Reviews (2017) Vol. 72, pp. 828-848
Open Access | Times Cited: 178
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: 173
Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation
Laith M. Halabi, Saad Mekhilef, Monowar Hossain
Applied Energy (2018) Vol. 213, pp. 247-261
Closed Access | Times Cited: 160
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