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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:

A comprehensive approach for PV wind forecasting by using a hyperparameter tuned GCVCNN-MRNN deep learning model
Adeel Feroz Mirza, Majad Mansoor, Muhammad Usman, et al.
Energy (2023) Vol. 283, pp. 129189-129189
Closed Access | Times Cited: 18

Showing 18 citing articles:

A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning
Mohammad J. Izadi, Pourya Hassani, Mehrdad Raeesi, et al.
Energy (2024) Vol. 293, pp. 130602-130602
Closed Access | Times Cited: 16
Artificial Neural Networks for Photovoltaic Power Forecasting: A Review of Five Promising Models
Rafiq Asghar, Francesco Riganti Fulginei, Michele Quercio, et al.
IEEE Access (2024) Vol. 12, pp. 90461-90485
Open Access | Times Cited: 16
A novel two-stage multi-objective dispatch model for a distributed hybrid CCHP system considering source-load fluctuations mitigation
Yuan Zhou, Jiangjiang Wang, Changqi Wei, et al.
Energy (2024) Vol. 300, pp. 131557-131557
Closed Access | Times Cited: 9
A state-of-the-art review of long short-term memory models with applications in hydrology and water resources
Zhong-kai Feng, J. Zhang, Wen-jing Niu
Applied Soft Computing (2024), pp. 112352-112352
Closed Access | Times Cited: 9
Water resource management and flood mitigation: hybrid decomposition EMD-ANN model study under climate change
Nisar Ahmad, Yi Xu, Muhammad Tayyab, et al.
Sustainable Water Resources Management (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 7
Short-term PV power data prediction based on improved FCM with WTEEMD and adaptive weather weights
Fengpeng Sun, Longhao Li, Dun-xin Bian, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109408-109408
Closed Access | Times Cited: 5
Power system flexibility analysis using net-load forecasting based on deep learning considering distributed energy sources and electric vehicles
Ehsan Toghiany Rizi, Mohammad Rastegar, Ali Forootani
Computers & Electrical Engineering (2024) Vol. 117, pp. 109305-109305
Closed Access | Times Cited: 5
InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation
Mingwei Zhong, J.M. Fan, Jianqiang Luo, et al.
Applied Energy (2024) Vol. 371, pp. 123745-123745
Closed Access | Times Cited: 5
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
Robust deep learning model with attention framework for spatiotemporal forecasting of solar and wind energy production
Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al‐Abri, et al.
Energy Conversion and Management X (2025), pp. 100919-100919
Open Access
Unlocking the potential: A review of artificial intelligence applications in wind energy
Safa Dörterler, Seyfullah Arslan, Durmuş Özdemir
Expert Systems (2024) Vol. 41, Iss. 12
Open Access | Times Cited: 3
FTLNet: federated deep learning model for multi-horizon wind power forecasting
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Uncertainty-Aware Self-Attention Model for Time Series Prediction with Missing Values
Jiabao Li, Chengjun Wang, Wenhang Su, et al.
Fractal and Fractional (2025) Vol. 9, Iss. 3, pp. 181-181
Open Access
A deep learning framework for photovoltaic power forecasting in multiple interconnected countries
Christos N. Dimitriadis, Nikolaos Passalis, Michael C. Georgiadis
Sustainable Energy Technologies and Assessments (2025) Vol. 77, pp. 104330-104330
Open Access
Machine learning aided prediction of sintering induced swelling in powder metallurgical Cu-Sn alloys
Tafzeelul Kamal, Gouthama, Anish Upadhyaya
Computational Materials Science (2024) Vol. 235, pp. 112827-112827
Closed Access | Times Cited: 3
Spectral-temporal convolutional approach for PV systems output power forecasting: Case studies in single-site and multi-site
Tuyen Nguyen‐Duc, T. Nguyen-Trong, Giang Nguyen-Hoang-Minh, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101357-101357
Closed Access | Times Cited: 3
An Interpretable Hybrid Spatiotemporal Fusion Method for Ultra-Short-Term Photovoltaic Power Prediction
Bin Gong, Aimin An, Yaoke Shi, et al.
Energy (2024) Vol. 308, pp. 132969-132969
Closed Access | Times Cited: 3
Portability of Short Term Wind Power Forecasting
Cian Deignan, Juan Gonzalez Sopeña, Bidisha Ghosh, et al.
Research Square (Research Square) (2024)
Open Access
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