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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:

Characterization of Concentrating Photovoltaic modules by cooperative competitive Radial Basis Function Networks
Antonio J. Rivera, B. García-Domingo, María José del Jesús, et al.
Expert Systems with Applications (2012) Vol. 40, Iss. 5, pp. 1599-1608
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
Qingfeng He, Himan Shahabi, Ataollah Shirzadi, et al.
The Science of The Total Environment (2019) Vol. 663, pp. 1-15
Closed Access | Times Cited: 213
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: 204
A multi-model approach based on CARIMA-SARIMA-GPM for assessing the impacts of climate change on concentrated photovoltaic (CPV) potential
Samuel Chukwujindu Nwokolo, Eyime Echeng Eyime, Anthony Umunnakwe Obiwulu, et al.
Physics and Chemistry of the Earth Parts A/B/C (2024) Vol. 134, pp. 103560-103560
Closed Access | Times Cited: 9
Models for the electrical characterization of high concentration photovoltaic cells and modules: A review
Pedro M. Rodrigo, Eduardo F. Férnández, Florencia Almonacid, et al.
Renewable and Sustainable Energy Reviews (2013) Vol. 26, pp. 752-760
Closed Access | Times Cited: 84
Review of techniques based on artificial neural networks for the electrical characterization of concentrator photovoltaic technology
Florencia Almonacid, Eduardo F. Férnández, A. Mellit, et al.
Renewable and Sustainable Energy Reviews (2016) Vol. 75, pp. 938-953
Closed Access | Times Cited: 78
Review of methods for the calculation of cell temperature in high concentration photovoltaic modules for electrical characterization
Pedro M. Rodrigo, Eduardo F. Férnández, Florencia Almonacid, et al.
Renewable and Sustainable Energy Reviews (2014) Vol. 38, pp. 478-488
Closed Access | Times Cited: 65
Model for the prediction of the maximum power of a high concentrator photovoltaic module
Eduardo F. Férnández, Florencia Almonacid, Pedro M. Rodrigo, et al.
Solar Energy (2013) Vol. 97, pp. 12-18
Closed Access | Times Cited: 48
Modelling the influence of atmospheric conditions on the outdoor real performance of a CPV (Concentrated Photovoltaic) module
B. García-Domingo, J. Aguilera, J. de la Casa, et al.
Energy (2014) Vol. 70, pp. 239-250
Closed Access | Times Cited: 46
Spectrally corrected direct normal irradiance based on artificial neural networks for high concentrator photovoltaic applications
Eduardo F. Férnández, Florencia Almonacid
Energy (2014) Vol. 74, pp. 941-949
Closed Access | Times Cited: 28
High concentrator photovoltaic module simulation by neuronal networks using spectrally corrected direct normal irradiance and cell temperature
Florencia Almonacid, Eduardo F. Férnández, Tapas K. Mallick, et al.
Energy (2015) Vol. 84, pp. 336-343
Closed Access | Times Cited: 25
CPV module electric characterisation by artificial neural networks
B. García-Domingo, Michel Piliougine, David Elizondo, et al.
Renewable Energy (2015) Vol. 78, pp. 173-181
Closed Access | Times Cited: 25
Experimental investigation and radial basis function network modeling of direct evaporative cooling systems
Kadir Kavaklıoğlu, M.F. Köseoǧlu, Oğuz Çalışkan
International Journal of Heat and Mass Transfer (2018) Vol. 126, pp. 139-150
Closed Access | Times Cited: 17
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
A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions
B. García-Domingo, C. J. Carmona, Antonio J. Rivera, et al.
Expert Systems with Applications (2015) Vol. 42, Iss. 13, pp. 5452-5462
Closed Access | Times Cited: 13
Efficiencies and Energy Balance in High-Concentrator Photovoltaic Devices
Francisco José Muñoz-Rodríguez, Emilio Muñoz, Florencia Almonacid, et al.
Green energy and technology (2015), pp. 239-260
Closed Access | Times Cited: 13
An artificial neural network-based performance model of triple-junction InGaP/InGaAs/Ge cells for the production estimation of concentrated photovoltaic systems
Aisha Shoaib, Muhammad Burhan, Qian Chen, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 3
Concentrator photovoltaic standards: Experimental analyses of technical requirements
Alfonso Damiano, Ignazio Marongiu, Claudia Musio, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2013)
Closed Access | Times Cited: 7
Characterization of spherical optics performance compared to other types of optical systems in a point-focus CPV system
C. Renno
Thermal Science and Engineering Progress (2022) Vol. 29, pp. 101201-101201
Closed Access | Times Cited: 5
Modeling a High Concentrator Photovoltaic Module Using Fuzzy Rule-Based Systems
M. A. Gadeo-Martos, A. J. Yuste, Florencia Almonacid, et al.
Energies (2019) Vol. 12, Iss. 3, pp. 567-567
Open Access | Times Cited: 7
Competitive co-evolution of multi-layer perceptron classifiers
Marco Castellani
Soft Computing (2017) Vol. 22, Iss. 10, pp. 3417-3432
Open Access | Times Cited: 6
Financial Time Series Forecasting Based on Characterized Candlestick and the Support Vector Classification with Cooperative Coevolution
Zhipeng Jiang
Journal of Computers (2019) Vol. 14, Iss. 3, pp. 195-209
Open Access | Times Cited: 5
Output Power Estimation of High Concentrator Photovoltaic using Radial Basis Function Neural Network
Mensah K. Anaty, Yaser I. Alamin, Khalid Bouziane, et al.
2021 9th International Renewable and Sustainable Energy Conference (IRSEC) (2018)
Open Access | Times Cited: 4
Study of the performance of a High concentrator photovoltaic module using three prediction models
Merouan Belkasmi, Mensah K. Anaty, K. Bouziane, et al.
(2016), pp. 243-248
Closed Access | Times Cited: 2
Applications of ANNs in the Field of the HCPV Technology
Florencia Almonacid, A. Mellit, Soteris A. Kalogirou
Green energy and technology (2015), pp. 333-351
Closed Access | Times Cited: 2
Modeling the Transformation of Olive Tree Biomass into Bioethanol with Reg-CO $$^2$$ RBFN
Francisco Charte, Inmaculada Romero Pulido, Antonio J. Rivera, et al.
Lecture notes in computer science (2017), pp. 733-744
Closed Access | Times Cited: 2
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