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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:

Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting
Linfei Yin, Xinghui Cao, Dongduan Liu
Applied Energy (2022) Vol. 332, pp. 120527-120527
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Prediction of Energy Production Level in Large PV Plants through AUTO-Encoder Based Neural-Network (AUTO-NN) with Restricted Boltzmann Feature Extraction
Ganapathy Ramesh, J. Logeshwaran, T. Kiruthiga, et al.
Future Internet (2023) Vol. 15, Iss. 2, pp. 46-46
Open Access | Times Cited: 91
Short-term Interval Prediction Strategy of Photovoltaic Power Based on Meteorological Reconstruction with Spatiotemporal Correlation and Multi-factor Interval Constraints
Mao Yang, Yue Jiang, Wei Zhang, et al.
Renewable Energy (2024) Vol. 237, pp. 121834-121834
Closed Access | Times Cited: 18
Short-term PV power prediction based on meteorological similarity days and SSA-BiLSTM
Yikang Li, Wei Huang, Keying Lou, et al.
Systems and Soft Computing (2024) Vol. 6, pp. 200084-200084
Open Access | Times Cited: 17
Multi-timescale optimization scheduling of regional integrated energy system based on source-load joint forecasting
Xin Ma, Bo Peng, Xiangxue Ma, et al.
Energy (2023) Vol. 283, pp. 129186-129186
Closed Access | Times Cited: 27
Inception-embedded attention memory fully-connected network for short-term wind power prediction
Linfei Yin, Mingshan Zhao
Applied Soft Computing (2023) Vol. 141, pp. 110279-110279
Closed Access | Times Cited: 22
TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Chengming Yu, Ji Qiao, Chao Chen, et al.
Journal of Cleaner Production (2024) Vol. 448, pp. 141690-141690
Closed Access | Times Cited: 13
Efficient shrinkage temporal convolutional network model for photovoltaic power prediction
Min Wang, Congjun Rao, Xinping Xiao, et al.
Energy (2024) Vol. 297, pp. 131295-131295
Closed Access | Times Cited: 8
Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8
Exploring the landscape of deep learning for solar photovoltaic power output forecasting: A review
Dheeraj Kumar Dhaked, V. L. Narayanan, Ram Gopal, et al.
Renewable energy focus (2025), pp. 100682-100682
Closed Access
Physics-informed neural networks for phase-field simulation in designing high energy storage performance polymer nanocomposites
Dong-Duan Liu, Qiao Li, Yujie Zhu, et al.
Applied Physics Letters (2025) Vol. 126, Iss. 5
Closed Access
Dung beetle optimization algorithm-based hybrid deep learning model for ultra-short-term PV power prediction
Rui Quan, Zhizhuo Qiu, Hang Wan, et al.
iScience (2024) Vol. 27, Iss. 11, pp. 111126-111126
Closed Access | Times Cited: 3
Multivariate Strategy Using Artificial Neural Networks for Seasonal Photovoltaic Generation Forecasting
Max Olinto Moreira, Betânia Mafra Kaizer, Takaaki Ohishi, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 369-369
Open Access | Times Cited: 13
On the Forecastability of Solar Energy Generation by Rooftop Panels Pointed in Different Directions
Michał Jasiński, Omid Homaee, Daniel Opałkowski, et al.
IEEE Transactions on Sustainable Energy (2023) Vol. 15, Iss. 1, pp. 699-702
Closed Access | Times Cited: 7
Day-Ahead Photovoltaic Power Forecasting Using Deep Learning with an Autoencoder-Based Correction Strategy
Juan Carlos Córtez, Juan Camilo López, Hernan R. Ullón, et al.
Journal of Control Automation and Electrical Systems (2024) Vol. 35, Iss. 4, pp. 662-676
Closed Access | Times Cited: 2
Optimal cost predictive BMS considering greywater recycling, responsive HVAC, and energy storage
Ahmed R. El Shamy, Ameena Saad Al‐Sumaiti
Applied Energy (2024) Vol. 377, pp. 124589-124589
Open Access | Times Cited: 2
Time Series Analysis and Forecasting of Solar Generation in Spain Using eXtreme Gradient Boosting: A Machine Learning Approach
Candra Saigustia, Paweł Pijarski
Energies (2023) Vol. 16, Iss. 22, pp. 7618-7618
Open Access | Times Cited: 5
A short-term photovoltaic power interval forecasting method based on fuzzy granular computing and CNN-BiGRU
Yan Shi, Luxi Zhang, Siteng Wang, et al.
International Journal of Low-Carbon Technologies (2024) Vol. 19, pp. 306-314
Open Access | Times Cited: 1
A deep learning model for multi-modal spatio-temporal irradiance forecast
Shuo Shan, Chenxi Li, Yiye Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122925-122925
Closed Access | Times Cited: 4
Photovoltaics literature survey (no. 182)
Ziv Hameiri
Progress in Photovoltaics Research and Applications (2023) Vol. 31, Iss. 4, pp. 443-446
Open Access | Times Cited: 2
Time Series Forecasting for Energy Production in Stand-Alone and Tracking Photovoltaic Systems Based on Historical Measurement Data
Mateusz Sumorek, Adam Idźkowski
Energies (2023) Vol. 16, Iss. 17, pp. 6367-6367
Open Access | Times Cited: 2
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
A Novel Combined Model Integrating Twin Compensation and Dung Beetle Optimizer for Photovoltaic Power Prediction
Linlin Fu, Jing Qian, Yun Zeng, et al.
(2024)
Closed Access
An efficient procedure for prediction of the load-displacement curve of CFDST columns
Quang-Viet Vu, Dai-Nhan Le, Tuan-Dung Pham, et al.
Journal of Constructional Steel Research (2024) Vol. 224, pp. 109113-109113
Closed Access
A novel photovoltaic power probabilistic forecasting model based on monotonic quantile convolutional neural network and multi-objective optimization
Jianhua Zhu, Yaoyao He
Energy Conversion and Management (2024) Vol. 323, pp. 119219-119219
Closed Access
A Cross-Domain Short-Term Power Prediction Method Based on Multiple Environmental Sensors in Photovoltaic Systems and Domain Generalisation Theory
Dongze Li, Liqiang Liu, Yongsheng Qi, et al.
IEEE Sensors Journal (2024) Vol. 25, Iss. 3, pp. 5811-5823
Closed Access
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