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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 regional solar forecasting approach using generative adversarial networks with solar irradiance maps
Haoran Wen, Yang Du, Xiaoyang Chen, et al.
Renewable Energy (2023) Vol. 216, pp. 119043-119043
Open Access | Times Cited: 21

Showing 21 citing articles:

Revolutionizing solar energy resources: The central role of generative AI in elevating system sustainability and efficiency
Rashin Mousavi, Arash Kheyraddini Mousavi, Yashar Mousavi, et al.
Applied Energy (2025) Vol. 382, pp. 125296-125296
Open Access | Times Cited: 2
General generative AI-based image augmentation method for robust rooftop PV segmentation
Hongjun Tan, Zhiling Guo, Zhengyuan Lin, et al.
Applied Energy (2024) Vol. 368, pp. 123554-123554
Closed Access | Times Cited: 11
Research on time-series based and similarity search based methods for PV power prediction
Meng Jiang, Kun Ding, Xiang Chen, et al.
Energy Conversion and Management (2024) Vol. 308, pp. 118391-118391
Closed Access | Times Cited: 9
Prediction of solar irradiance using convolutional neural network and attention mechanism-based long short-term memory network based on similar day analysis and an attention mechanism
Xinxing Hou, Chao Ju, Bo Wang
Heliyon (2023) Vol. 9, Iss. 11, pp. e21484-e21484
Open Access | Times Cited: 20
Improved satellite-based intra-day solar forecasting with a chain of deep learning models
Shanlin Chen, Chengxi Li, Roland B. Stull, et al.
Energy Conversion and Management (2024) Vol. 313, pp. 118598-118598
Closed Access | Times Cited: 4
Synthesizing Images with Aligned Masks Using Text-to-Image Based Generative Ai for Robust Pv Segmentation
Hongjun Tan, Zhiling Guo, Jiaze Li, et al.
(2025)
Closed Access
Parametric Forecast of Solar Energy over Time by Applying Machine Learning Techniques: Systematic Review
Fernando Venâncio Mucomole, Carlos Silva, Lourenço Lázaro Magaia
Energies (2025) Vol. 18, Iss. 6, pp. 1460-1460
Open Access
Extending intraday solar forecast horizons with deep generative models
Alberto Carpentieri, Doris Folini, Jussi Leinonen, et al.
Applied Energy (2024) Vol. 377, pp. 124186-124186
Open Access | Times Cited: 3
Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling
Seyed Hamed Godasiaei
Journal of Materials Science (2024) Vol. 59, Iss. 21, pp. 9398-9422
Closed Access | Times Cited: 2
A Hybrid Dual Stream ProbSparse Self-Attention Network for spatial–temporal photovoltaic power forecasting
Jingyin Pei, Yunxuan Dong, Peiting Guo, et al.
Energy (2024) Vol. 305, pp. 132152-132152
Closed Access | Times Cited: 2
Distributed-regional photovoltaic power generation prediction with limited data: A robust autoregressive transfer learning method
Wanting Zheng, Hao Xiao, Wei Pei
Applied Energy (2024) Vol. 380, pp. 125058-125058
Closed Access | Times Cited: 2
Short-term solar irradiance forecasting under data transmission constraints
Joshua E. Hammond, Ricardo A. Lara Orozco, Michael Bâldea, et al.
Renewable Energy (2024) Vol. 233, pp. 121058-121058
Open Access | Times Cited: 1
Research on solar photovoltaic panel power generation prediction and comparative analysis based on multiple machine learning algorithms
Qi Yu, Yafei Liu, Xingyu Zheng
(2024), pp. 83-86
Closed Access | Times Cited: 1
A new method of photovoltaic clusters power prediction based on Informer considering time-frequency analysis and convergence effect
Xiyun Yang, Lei Yang, Yinkai Li, et al.
Electric Power Systems Research (2024) Vol. 238, pp. 111049-111049
Closed Access | Times Cited: 1
Solar energy generation and power prediction through computer vision and machine intelligence
Dipanjan Rout, Naman Shyamsukha, Harshit Mittal, et al.
Elsevier eBooks (2024), pp. 103-123
Closed Access | Times Cited: 1
Static security assessment of renewable integrated power systems using ensemble of modified ELM with unsupervised feature learning technique
Mukesh Singh, Sushil Chauhan
Computers & Electrical Engineering (2024) Vol. 120, pp. 109881-109881
Closed Access | Times Cited: 1
Distributed-Regional Photovoltaic Power Generation Prediction with Limited Data: A Robust Autoregressive Transfer Learning Method
Wanting Zheng, Hao Xiao, Wei Pei
(2024)
Closed Access
Enhancing Solar Irradiance Estimation for Pumped Storage Hydroelectric Power Plants Using Hybrid Deep Learning
Sudharshan Konduru, C. Naveen, Ramesh C. Bansal
Smart Grids and Sustainable Energy (2024) Vol. 9, Iss. 2
Open Access
Solar Irradiance Prediction Method for PV Power Supply System of Mobile Sprinkler Machine Using WOA-XGBoost Model
D M Li, Jiwei Qu, Delan Zhu, et al.
Machines (2024) Vol. 12, Iss. 11, pp. 804-804
Open Access
One-hour-ahead solar irradiance forecast based on real-time K-means++ clustering on the input side and CNN-LSTM
Yunxiao Chen, Chaojing Lin, Jinfu Liu, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024), pp. 106405-106405
Closed Access
Monthly intercepted photosynthetically active radiation estimation based on the Beer-Lambert’s law across the cereal crops of Castilla y León (Spain)
Elena Garrachón-Gómez, Ignacio García, A. García-Rodríguez, et al.
Computers and Electronics in Agriculture (2023) Vol. 216, pp. 108523-108523
Open Access
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