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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:

Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting
Max Olinto Moreira, Pedro Paulo Balestrassi, Anderson Paulo de Paiva, et al.
Renewable and Sustainable Energy Reviews (2020) Vol. 135, pp. 110450-110450
Closed Access | Times Cited: 87

Showing 26-50 of 87 citing articles:

FCDT-IWBOA-LSSVR: An innovative hybrid machine learning approach for efficient prediction of short-to-mid-term photovoltaic generation
Liang Lu, Tiecheng Su, Yuxiang Gao, et al.
Journal of Cleaner Production (2022) Vol. 385, pp. 135716-135716
Closed Access | Times Cited: 31
A novel hybrid model for multi-step ahead photovoltaic power prediction based on conditional time series generative adversarial networks
Fengyun Li, Haofeng Zheng, Xingmei Li
Renewable Energy (2022) Vol. 199, pp. 560-586
Closed Access | Times Cited: 28
Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison
Neha Sehrawat, Sahil Vashisht, Amritpal Singh
International Journal of Intelligent Networks (2023) Vol. 4, pp. 90-102
Open Access | Times Cited: 19
De-Trend First, Attend Next: A Mid-Term PV forecasting system with attention mechanism and encoder–decoder structure
Yunbo Niu, Jianzhou Wang, Ziyuan Zhang, et al.
Applied Energy (2023) Vol. 353, pp. 122169-122169
Closed Access | Times Cited: 17
Solar Radiation Prediction Based on Convolution Neural Network and Long Short-Term Memory
Tingting Zhu, Yiren Guo, Zhenye Li, et al.
Energies (2021) Vol. 14, Iss. 24, pp. 8498-8498
Open Access | Times Cited: 35
Artificial Neural Network Modelling and Experimental Evaluation of Dust and Thermal Energy Impact on Monocrystalline and Polycrystalline Photovoltaic Modules
Jabar H. Yousif, Hussein A. Kazem, Haitham Al-Balushi, et al.
Energies (2022) Vol. 15, Iss. 11, pp. 4138-4138
Open Access | Times Cited: 22
Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting
Jingxuan Liu, Haixiang Zang, Tao Ding, et al.
Renewable Energy (2023) Vol. 209, pp. 619-631
Closed Access | Times Cited: 15
Application of Artificial Intelligence Model Solar Radiation Prediction for Renewable Energy Systems
Hasan Alkahtani, Theyazn H. H. Aldhyani, Saleh Nagi Alsubari
Sustainability (2023) Vol. 15, Iss. 8, pp. 6973-6973
Open Access | Times Cited: 15
Forecasting and Uncertainty Analysis of Day-Ahead Photovoltaic Power Based on WT-CNN-BiLSTM-AM-GMM
Bo Gu, Xi Li, Fengliang Xu, et al.
Sustainability (2023) Vol. 15, Iss. 8, pp. 6538-6538
Open Access | Times Cited: 13
An ensemble neural network for optimising a CNC milling process
Patrick G. Mongan, Eoin P. Hinchy, Noel P. O’Dowd, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 377-389
Closed Access | Times Cited: 13
Improving Short-Term Photovoltaic Power Generation Forecasting with a Bidirectional Temporal Convolutional Network Enhanced by Temporal Bottlenecks and Attention Mechanisms
Jianhong Gan, Xi Lin, Tinghui Chen, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 214-214
Open Access
Microgrid Clustering for Enhancing the Grid Resilience in Extreme Conditions
Zhiyi Li, Xutao Han, Matin Farhoumandi, et al.
Power electronics and power systems (2025), pp. 193-260
Closed Access
Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods
Yue Leon Guo, Yu Song, Zhongping Lai, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 308-308
Open Access
Short-term photovoltaic power prediction model based on feature construction and improved Transformer
H L Tang, Feiyu Kang, Xinyu Li, et al.
Energy (2025), pp. 135213-135213
Closed Access
Improved bidirectional long short-term memory network-based short-term forecasting of photovoltaic power for different seasonal types and weather factors
Ruixian Wang, Rui Ma, Linjun Zeng, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110219-110219
Closed Access
Evaluation of opaque deep-learning solar power forecast models towards power-grid applications
Lilin Cheng, Haixiang Zang, Zhinong Wei, et al.
Renewable Energy (2022) Vol. 198, pp. 960-972
Closed Access | Times Cited: 19
Interval prediction of short‐term photovoltaic power based on an improved GRU model
Jing Zhang, Zhuoying Liao, Jie Shu, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 7, pp. 3142-3156
Open Access | Times Cited: 3
Machine Learning models for the estimation of the production of large utility-scale photovoltaic plants
Ana P. Talayero, Julio J. Melero, A. Llombart, et al.
Solar Energy (2023) Vol. 254, pp. 88-101
Open Access | Times Cited: 8
Estimating solar radiation using artificial neural networks: a case study of Fiche, Oromia, Ethiopia
Tegenu Argaw Woldegiyorgis, Natei Ermias Benti, Mesfin Diro Chaka, et al.
Cogent Engineering (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 8
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
PV Power Forecasting Based on Relevance Vector Machine with Sparrow Search Algorithm Considering Seasonal Distribution and Weather Type
Wentao Ma, Lihong Qiu, Fengyuan Sun, et al.
Energies (2022) Vol. 15, Iss. 14, pp. 5231-5231
Open Access | Times Cited: 12
Deep learning-based solar power forecasting model to analyze a multi-energy microgrid energy system
Sai Sasidhar Punyam Rajendran, Alemayehu Gebremedhin
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 2
A Hybrid Conv-LSTM-Attention Framework for Short-Term PV Power Forecasting Incorporating Data from Neighboring Stations
Hu Feng, Linghua Zhang, Jiaqi Wang
(2024)
Open Access | Times Cited: 2
A novel hybrid model based on evolving multi-quantile long and short-term memory neural network for ultra-short-term probabilistic forecasting of photovoltaic power
Jianhua Zhu, Yaoyao He
Applied Energy (2024) Vol. 377, pp. 124601-124601
Closed Access | Times Cited: 2
Performance of insulators under variation of pollution, Inclined Angle, and Temperature based on the Design of Experiment
Ramy N. R. Ghaly, Sherif S. M. Ghoneim, Ali Al Ibrahim, et al.
Results in Engineering (2024), pp. 103148-103148
Open Access | Times Cited: 2

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