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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:

Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran
Shahaboddin Shamshirband, Kasra Mohammadi, Huiling Chen, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2015) Vol. 134, pp. 109-117
Closed Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Sadeq Oleiwi Sulaiman, Ravinesh C. Deo, et al.
Journal of Hydrology (2018) Vol. 569, pp. 387-408
Closed Access | Times Cited: 622
Performance analysis of hybrid PV/diesel/battery system using HOMER: A case study Sabah, Malaysia
Laith M. Halabi, Saad Mekhilef, Lanre Olatomiwa, et al.
Energy Conversion and Management (2017) Vol. 144, pp. 322-339
Closed Access | Times Cited: 353
Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
Ümit Ağbulut, Ali Etem Gürel, Yunus Biçen
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110114-110114
Closed Access | Times Cited: 295
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
Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy
Zhennao Cai, Jianhua Gu, Jie Luo, et al.
Expert Systems with Applications (2019) Vol. 138, pp. 112814-112814
Closed Access | Times Cited: 217
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
Sujan Ghimire, Ravinesh C. Deo, Nathan Downs, et al.
Journal of Cleaner Production (2019) Vol. 216, pp. 288-310
Closed Access | Times Cited: 177
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
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
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
Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis
Ranjeeta Bisoi, P.K. Dash, Ajaya Kumar Parida
Applied Soft Computing (2018) Vol. 74, pp. 652-678
Closed Access | Times Cited: 139
Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas
Dongjin Cho, Cheolhee Yoo, Jungho Im, et al.
Earth and Space Science (2020) Vol. 7, Iss. 4
Open Access | Times Cited: 132
Extreme learning machine for prediction of heat load in district heating systems
Shahin Sajjadi, Shahaboddin Shamshirband, Meysam Alizamir, et al.
Energy and Buildings (2016) Vol. 122, pp. 222-227
Closed Access | Times Cited: 131
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
Prognostics of Proton Exchange Membrane Fuel Cells stack using an ensemble of constraints based connectionist networks
Kamran Javed, Rafael Gouriveau, Noureddine Zerhouni, et al.
Journal of Power Sources (2016) Vol. 324, pp. 745-757
Closed Access | Times Cited: 117
Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model
Kamran Javed, Rafael Gouriveau, Xiang Li, et al.
Journal of Intelligent Manufacturing (2016) Vol. 29, Iss. 8, pp. 1873-1890
Closed Access | Times Cited: 106
Daily global solar radiation estimation in desert areas using daily extreme temperatures and extraterrestrial radiation
Aitor Marzo, Mauricio Trigo-González, Joaquín Alonso-Montesinos, et al.
Renewable Energy (2017) Vol. 113, pp. 303-311
Closed Access | Times Cited: 94
Prediction of daily diffuse solar radiation using artificial neural networks
Xinhua Xue
International Journal of Hydrogen Energy (2017) Vol. 42, Iss. 47, pp. 28214-28221
Closed Access | Times Cited: 89
Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model
Tao Hai, Ahmad Sharafati, Mohammed Achite, et al.
IEEE Access (2020) Vol. 8, pp. 12026-12042
Open Access | Times Cited: 76
Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review
Ajay Kumar Bansal
Journal of Cleaner Production (2022) Vol. 369, pp. 133376-133376
Closed Access | Times Cited: 52
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: 50
Optimized Random Forest for Solar Radiation Prediction Using Sunshine Hours
César G. Villegas-Mier, Juvenal Rodríguez‐Reséndiz, José M. Álvarez-Alvarado, et al.
Micromachines (2022) Vol. 13, Iss. 9, pp. 1406-1406
Open Access | Times Cited: 41
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: 37
Techno-Economic Performance and Sensitivity Analysis of an Off-Grid Renewable Energy-Based Hybrid System: A Case Study of Kuakata, Bangladesh
Sheikh Md. Nahid Hasan, Shameem Ahmad, Abrar Fahim Liaf, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1476-1476
Open Access | Times Cited: 8
Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data
Meysam Alizamir, Özgür Kişi, Mohammad Zounemat‐Kermani
Hydrological Sciences Journal (2017) Vol. 63, Iss. 1, pp. 63-73
Closed Access | Times Cited: 85
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