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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:

Multitasking recurrent neural network for photovoltaic power generation prediction
Hui Song, Nameer Al Khafaf, Ammar Mansoor Kamoona, et al.
Energy Reports (2023) Vol. 9, pp. 369-376
Open Access | Times Cited: 21

Showing 21 citing articles:

Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, et al.
Renewable Energy (2023) Vol. 216, pp. 118997-118997
Open Access | Times Cited: 66
Improving short-term offshore wind speed forecast accuracy using a VMD-PE-FCGRU hybrid model
Zhipeng Gong, Anping Wan, Yunsong Ji, et al.
Energy (2024) Vol. 295, pp. 131016-131016
Closed Access | Times Cited: 15
Ultra-short-term wind power interval prediction based on multi-task learning and generative critic networks
Jinhao Shi, Bo Wang, Kaiyi Luo, et al.
Energy (2023) Vol. 272, pp. 127116-127116
Closed Access | Times Cited: 13
Deep Learning: A Overview of Theory and Architectures
Hossein Shahinzadeh, Arezou Mahmoudi, Amirhosein Asilian, et al.
(2024)
Closed Access | Times Cited: 5
Adaptive model based on ESN for anomaly detection in industrial systems
José R. Rodríguez-Ossorio, Antonio Morán, Juan J. Fuertes, et al.
Evolving Systems (2025) Vol. 16, Iss. 1
Open Access
Deep Learning Models for Short-Term Forecasting of Photovoltaic Energy Production
Elissaios Sarmas, Vangelis Marinakis, Haris Doukas
Learning and analytics in intelligent systems (2025), pp. 87-127
Closed Access
Optimized forecasting of photovoltaic power generation using hybrid deep learning model based on GRU and SVM
Felix Ghislain Yem Souhe, Camille Franklin Mbey, Vinny Junior Foba Kakeu, et al.
Electrical Engineering (2024) Vol. 106, Iss. 6, pp. 7879-7898
Closed Access | Times Cited: 3
Intelligent Prediction and Real-time Monitoring System for Gas Flow Distribution at the Top of Blast Furnace
Ran Liu, Weiguang Zhao, Song Liu, et al.
ISIJ International (2023) Vol. 63, Iss. 10, pp. 1714-1726
Open Access | Times Cited: 8
Short‐term power forecasting method for 5G photovoltaic base stations on non‐sunny days based on SDN‐integrated INGO‐BP and RGAN
Jinbao Huang, Wenhao Guo, R.-P. Wei, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 6, pp. 1019-1039
Open Access | Times Cited: 2
Self-attention mechanism to enhance the generalizability of data-driven time-series prediction: A case study of intra-hour power forecasting of urban distributed photovoltaic systems
Hanxin Yu, Shanlin Chen, Yinghao Chu, et al.
Applied Energy (2024) Vol. 374, pp. 124007-124007
Closed Access | Times Cited: 2
Spatio-temporal prediction for distributed PV generation system based on deep learning neural network model
Qiangsheng Dai, Xuesong Huo, Yuchen Hao, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6
Two-Stage Multitasking Energy Demand Prediction
Hui Song, Mahdi Jalili, Xinghuo Yu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 54, Iss. 3, pp. 1554-1565
Closed Access | Times Cited: 5
Photovoltaic power generation prediction and optimization configuration model based on GPR and improved PSO algorithm
Zhennan Zhang, Zhenliang Duan, Lingwei Zhang
EAI Endorsed Transactions on Energy Web (2024) Vol. 11
Open Access | Times Cited: 1
Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
Hui Song, Miao Zheng, Ali Babalhavaeji, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 1
Multi-swarm multi-tasking ensemble learning for multi-energy demand prediction
Hui Song, Boyu Zhang, Mahdi Jalili, et al.
Applied Energy (2024) Vol. 377, pp. 124553-124553
Open Access | Times Cited: 1
Evaluation of the Complementary Characteristics for Wind-Photovoltaic-Hydro Hybrid System Considering Multiple Uncertainties in the Medium and Long Term
Lu Lu, Wenlin Yuan, Hongshi Xu, et al.
Water Resources Management (2023) Vol. 38, Iss. 2, pp. 793-814
Closed Access | Times Cited: 3
GCN-Transformer-Based Spatio-Temporal Load Forecasting for EV Battery Swapping Stations under Differential Couplings
Xiao Hu, Zezhen Zhang, Zhiyu Fan, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3401-3401
Open Access
Achieve the optimal capacities of renewable energy generating and storage equipment by loading factor indexes of commercial key-customers
Y M Tseng, Z J Mao, H S Huang, et al.
Journal of Physics Conference Series (2024) Vol. 2878, Iss. 1, pp. 012002-012002
Open Access
Nowcasting, Doping and Discriminating Energy Generation of Photovoltaic Systems Using Regression Models of Adversarial Networks
Javier Medina-Quero, G. Almonacid, Ignacio Rojas, et al.
Lecture notes in networks and systems (2024), pp. 792-804
Closed Access
Contextual feature fusion convolutional transformer complementation for PV power prediction
Yidi Wu, Feixia Zhang, Di Wu, et al.
Journal of Renewable and Sustainable Energy (2024) Vol. 16, Iss. 4
Closed Access
Photovoltaics literature survey (No. 183)
Ziv Hameiri
Progress in Photovoltaics Research and Applications (2023) Vol. 31, Iss. 6, pp. 645-648
Open Access | Times Cited: 1
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