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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:

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

Showing 1-25 of 78 citing articles:

Modeling of solar energy systems using artificial neural network: A comprehensive review
Ammar H. Elsheikh, Swellam W. Sharshir, Mohamed Abd Elaziz, et al.
Solar Energy (2019) Vol. 180, pp. 622-639
Closed Access | Times Cited: 609
Machine learning technology in biodiesel research: A review
Mortaza Aghbashlo, Wanxi Peng, Meisam Tabatabaei, et al.
Progress in Energy and Combustion Science (2021) Vol. 85, pp. 100904-100904
Closed Access | Times Cited: 335
A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
Shahab S. Band, Timon Rabczuk, Kwok‐wing Chau
IEEE Access (2019) Vol. 7, pp. 164650-164666
Open Access | Times Cited: 273
An efficient hybrid multilayer perceptron neural network with grasshopper optimization
Ali Asghar Heidari, Hossam Faris, Ibrahim Aljarah, et al.
Soft Computing (2018) Vol. 23, Iss. 17, pp. 7941-7958
Closed Access | Times Cited: 262
Advances in solar photovoltaic tracking systems: A review
Nadia Al‐Rousan, Nor Ashidi Mat Isa, Mohd Khairunaz Mat Desa
Renewable and Sustainable Energy Reviews (2017) Vol. 82, pp. 2548-2569
Closed Access | Times Cited: 227
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 review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
I.M. Yusri, Anwar P. P. Abdul Majeed, Rizalman Mamat, et al.
Renewable and Sustainable Energy Reviews (2018) Vol. 90, pp. 665-686
Closed Access | Times Cited: 181
Modeling of photovoltaic soiling loss as a function of environmental variables
Wasim Javed, Bing Guo, Benjamin Figgis
Solar Energy (2017) Vol. 157, pp. 397-407
Open Access | Times Cited: 155
Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks
Ali Asghar Heidari, Hossam Faris, Seyedali Mirjalili, et al.
Studies in computational intelligence (2019), pp. 23-46
Closed Access | Times Cited: 137
Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
Phong Tung Nguyen, Duong Hai Ha, Abolfazl Jaafari, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 7, pp. 2473-2473
Open Access | Times Cited: 123
Artificial intelligence in the field of nanofluids: A review on applications and potential future directions
Mehdi Bahiraei, Saeed Heshmatian, Hossein Moayedi
Powder Technology (2019) Vol. 353, pp. 276-301
Closed Access | Times Cited: 106
Using the DEMATEL model to explore the job satisfaction of research and development professionals in china's photovoltaic cell industry
Sang‐Bing Tsai
Renewable and Sustainable Energy Reviews (2017) Vol. 81, pp. 62-68
Closed Access | Times Cited: 101
Comparative study of photovoltaic thermal (PVT) integrated thermoelectric cooler (TEC) fluid collectors
Neha Dimri, Arvind Tiwari, G.N. Tiwari
Renewable Energy (2018) Vol. 134, pp. 343-356
Closed Access | Times Cited: 84
Evolutionary artificial neural networks for accurate solar radiation prediction
David Guijo-Rubio, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, et al.
Energy (2020) Vol. 210, pp. 118374-118374
Closed Access | Times Cited: 75
Thermal Management of Ultra High Concentrator Photovoltaic Cells: Analysing the Impact of Sintered Porous Media Microchannel Heat Sinks
Essam M. Abo-Zahhad, Salah Haridy, Ali Radwan, et al.
Journal of Cleaner Production (2024) Vol. 465, pp. 142649-142649
Closed Access | Times Cited: 8
Evaluation of sunshine-based models for predicting diffuse solar radiation in China
Lan Feng, Aiwen Lin, Lunche Wang, et al.
Renewable and Sustainable Energy Reviews (2018) Vol. 94, pp. 168-182
Closed Access | Times Cited: 66
A review on recent progress in computational and empirical studies of compression ignition internal combustion engine
Satishchandra Salam, Tushar Choudhary, Arivalagan Pugazhendhi, et al.
Fuel (2020) Vol. 279, pp. 118469-118469
Closed Access | Times Cited: 61
Machine Learning (ML)‐Assisted Design and Fabrication for Solar Cells
Fan Li, Xiaoqi Peng, Wang Zuo, et al.
Energy & environment materials (2019) Vol. 2, Iss. 4, pp. 280-291
Open Access | Times Cited: 60
Predictive analytics of the copper spot price by utilizing complex network and artificial neural network techniques
Chao Wang, Xinyi Zhang, Minggang Wang, et al.
Resources Policy (2019) Vol. 63, pp. 101414-101414
Closed Access | Times Cited: 56
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
Thermal management for conjugate heat transfer of curved solid conductive panel coupled with different cooling systems using non-Newtonian power law nanofluid applicable to photovoltaic panel systems
Fatih Selımefendıgıl, Hakan F. Öztop
International Journal of Thermal Sciences (2021) Vol. 173, pp. 107390-107390
Closed Access | Times Cited: 49
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
A novel comparative investigation of the effect of the number of neurons on the predictive performance of the artificial neural network: An experimental study on the thermal conductivity of ZrO 2 nanofluid
Andaç Batur Çolak
International Journal of Energy Research (2021) Vol. 45, Iss. 13, pp. 18944-18956
Open Access | Times Cited: 46
Deep‐learning–based method for faults classification of PV system
Sayed A. Zaki, Honglu Zhu, Mohammed Al Fakih, et al.
IET Renewable Power Generation (2021) Vol. 15, Iss. 1, pp. 193-205
Open Access | Times Cited: 45
Short-term solar energy forecasting: Integrated computational intelligence of LSTMs and GRU
Aneela Zameer, Fatima Jaffar, Farah Shahid, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0285410-e0285410
Open Access | Times Cited: 19
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