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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:

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

Showing 25 citing articles:

Real-time prediction intervals for intra-hour DNI forecasts
Yinghao Chu, Mengying Li, Hugo T.C. Pedro, et al.
Renewable Energy (2015) Vol. 83, pp. 234-244
Closed Access | Times Cited: 99
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
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
Accurate modeling of photovoltaic modules using a 1-D deep residual network based on I-V characteristics
Zhicong Chen, Yixiang Chen, Lijun Wu, et al.
Energy Conversion and Management (2019) Vol. 186, pp. 168-187
Open Access | Times Cited: 55
Rapid and accurate modeling of PV modules based on extreme learning machine and large datasets of I-V curves
Zhicong Chen, Hui Yu, Linlu Luo, et al.
Applied Energy (2021) Vol. 292, pp. 116929-116929
Closed Access | Times Cited: 47
Sun-tracking imaging system for intra-hour DNI forecasts
Yinghao Chu, Mengying Li, Carlos F.M. Coimbra
Renewable Energy (2016) Vol. 96, pp. 792-799
Closed Access | Times Cited: 58
Sunlight to hydrogen conversion: Design optimization and energy management of concentrated photovoltaic (CPV-Hydrogen) system using micro genetic algorithm
Muhammad Burhan, K.J. Chua, Kim Choon Ng
Energy (2016) Vol. 99, pp. 115-128
Closed Access | Times Cited: 55
A network of sky imagers for spatial solar irradiance assessment
Yinghao Chu, Mengying Li, Hugo T.C. Pedro, et al.
Renewable Energy (2022) Vol. 187, pp. 1009-1019
Open Access | Times Cited: 20
The effect of the marble dust to the efficiency of photovoltaic panels efficiency by SVM
Ertuğrul Adıgüzel, Nadir Subaşı, Tarık Veli Mumcu, et al.
Energy Reports (2022) Vol. 9, pp. 66-76
Open Access | Times Cited: 18
Experimental characterization of a concentrating photovoltaic system varying the light concentration
C. Renno, F. Petito, Giovanni Landi, et al.
Energy Conversion and Management (2017) Vol. 138, pp. 119-130
Closed Access | Times Cited: 31
Electrical Rating of Concentrated Photovoltaic (CPV) Systems: Long-Term Performance Analysis and Comparison to Conventional PV Systems
Muhammad Burhan, Chua Kian Jon Ernest, Kim Choon Ng
International Journal of Technology (2016) Vol. 7, Iss. 2, pp. 189-189
Closed Access | Times Cited: 24
Typical condition library construction for the development of data-driven models in power plants
You Lv, Carlos E. Romero, Tingting Yang, et al.
Applied Thermal Engineering (2018) Vol. 143, pp. 160-171
Closed Access | Times Cited: 24
Change of Real and Simulated Energy Production of Certain Photovoltaic Technologies in Relation to Orientation, Tilt Angle and Dual-Axis Sun-Tracking. A Case Study in Hungary
Henrik Zsiborács, Attila Bai, József Popp, et al.
Sustainability (2018) Vol. 10, Iss. 5, pp. 1394-1394
Open Access | Times Cited: 23
Photovoltaic Module Temperature Estimation: A Comparison Between Artificial Neural Networks and Adaptive Neuro Fuzzy Inference Systems Models
J. Tziu Dzib, E. J. Alejos Moo, A. Bassam, et al.
Communications in computer and information science (2016), pp. 46-60
Closed Access | Times Cited: 9
Detecting Partial Shadowing and Mismatching Phenomena in Photovoltaic Arrays by Machine Learning Techniques
Michel Piliougine, Rudy Alexis Guejia-Burbano, G. Spagnuolo
IEEE Open Journal of the Industrial Electronics Society (2022) Vol. 3, pp. 507-521
Closed Access | Times Cited: 6
Performance Evaluation of a Linear CPV/T System in Different Working Conditions
C. Renno, Alessandro Perone, Diana D’Agostino, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2115-2115
Open Access | Times Cited: 3
The Impacts of Tracking System Inaccuracy on CPV Module Power
Henrik Zsiborács, Nóra Hegedűsné Baranyai, András Vincze, et al.
Processes (2020) Vol. 8, Iss. 10, pp. 1278-1278
Open Access | Times Cited: 8
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
Review of implementation of biogas technology in rural communities of South Africa
Thilivhali Eugene Rasimphi, Beata Kilonzo, Malose Moses Tjale, et al.
Cogent Social Sciences (2024) Vol. 10, Iss. 1
Open Access
Experimental and Economic Analysis of a Concentrating Photovoltaic System Applied to Users of Increasing Size
C. Renno, Alessandro Perone, Diana D’Agostino, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 4968-4968
Open Access | Times Cited: 4
Support Vector Classifiers with Different Kernel Functions to Detect Mismatching Conditions Affecting Photovoltaic Arrays
Michel Piliougine, G. Spagnuolo
(2023), pp. 422-429
Closed Access | Times Cited: 1
Experimental Comparison between Spherical and Refractive Optics in a Concentrating Photovoltaic System
C. Renno
Energies (2021) Vol. 14, Iss. 15, pp. 4603-4603
Open Access | Times Cited: 3
Energy and economic analysis of a point-focus concentrating photovoltaic system when its installation site varies
C. Renno, Alessandro Perone
Frontiers in Energy (2020) Vol. 15, Iss. 2, pp. 384-395
Closed Access | Times Cited: 1
Alternative Sources of Energy Modeling and Automation

MDPI eBooks (2020)
Open Access | Times Cited: 1
Estimating the Maximum Power of a Concentrator Photovoltaic Module through Random Forest
Claudia N. Sánchez, Pedro M. Rodrigo
(2023), pp. 1-5
Closed Access
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