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:

The Photovoltaic Output Prediction Based on Variational Mode Decomposition and Maximum Relevance Minimum Redundancy
Peidong Du, Gang Zhang, Pingli Li, et al.
Applied Sciences (2019) Vol. 9, Iss. 17, pp. 3593-3593
Open Access | Times Cited: 10

Showing 10 citing articles:

An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques
Mawloud Guermoui, Amor Fezzani, Zaiani Mohamed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26

Forecasting intra-hour variance of photovoltaic power using a new integrated model
Mawloud Guermoui, Kada Bouchouicha, Nadjem Bailek, et al.
Energy Conversion and Management (2021) Vol. 245, pp. 114569-114569
Closed Access | Times Cited: 56

Prediction of Photovoltaic Power by the Informer Model Based on Convolutional Neural Network
Ze Wu, Feifan Pan, Dandan Li, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13022-13022
Open Access | Times Cited: 40

Short-Term PV Power Forecasting Using a Hybrid TVF-EMD-ELM Strategy
Reski Khelifi, Mawloud Guermoui, Abdelaziz Rabehi, et al.
International Transactions on Electrical Energy Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 29

A Hybrid Model for Short-term PV Output Forecasting Based on PCA-GWO-GRNN
Leijiao Ge, Yiming Xian, Jun Yan, et al.
Journal of Modern Power Systems and Clean Energy (2020) Vol. 8, Iss. 6, pp. 1268-1275
Open Access | Times Cited: 67

The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
Arkadiusz Małek, Andrzej Marciniak
Open Engineering (2021) Vol. 11, Iss. 1, pp. 377-389
Open Access | Times Cited: 9

An Efficient Algorithm for Power Prediction in PV Generation System
Qais Alsafasfeh
International Journal of Renewable Energy Development (2020) Vol. 9, Iss. 2, pp. 207-216
Closed Access | Times Cited: 6

Spatio-Temporal Short Term Photovoltaic Generation Forecasting with Uncertainty Estimates using Machine Learning Methods
Steven de Jongh, Tobias Riedel, Felicitas Mueller, et al.
2022 57th International Universities Power Engineering Conference (UPEC) (2020), pp. 1-6
Closed Access | Times Cited: 5

PV Prediction Using Hierarchical BiLSTM-RFR Model Considering Meteorological Factors
Rui Zhang, Liuzhu Zhu, Jianqiao Ye, et al.
(2022), pp. 120-125
Closed Access | Times Cited: 1

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