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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 physics-inspired neural network model for short-term wind power prediction considering wake effects
Naizhi Guo, Ke-Zhong Shi, Bo Li, et al.
Energy (2022) Vol. 261, pp. 125208-125208
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Energy digitalization: Main categories, applications, merits, and barriers
A.G. Olabi, Mohammad Ali Abdelkareem, Hussam Jouhara
Energy (2023) Vol. 271, pp. 126899-126899
Closed Access | Times Cited: 50
Elman neural network considering dynamic time delay estimation for short-term forecasting of offshore wind power
Jing Huang, Rui Qin
Applied Energy (2024) Vol. 358, pp. 122671-122671
Closed Access | Times Cited: 18
Wind turbine wakes modeling and applications: Past, present, and future
Li Wang, Dong Mi, Jian Yang, et al.
Ocean Engineering (2024) Vol. 309, pp. 118508-118508
Closed Access | Times Cited: 9
A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes
Cosmina-Mihaela Roșca, Adrian Stancu
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3758-3758
Open Access | Times Cited: 1
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
Yunlong Lv, Qin Hu, Hang Xu, et al.
Energy (2024) Vol. 293, pp. 130751-130751
Closed Access | Times Cited: 6
An Ultra-Short-Term Wind Power Forecasting Model Based on EMD-EncoderForest-TCN
Yu Sun, Junjie Yang, Xiaotian Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 60058-60069
Open Access | Times Cited: 6
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
Adam Krechowicz, Maria Krechowicz, Katarzyna Poczęta
Energies (2022) Vol. 15, Iss. 23, pp. 9146-9146
Open Access | Times Cited: 26
Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13
Hybrid attention-based deep neural networks for short-term wind power forecasting using meteorological data in desert regions
Moussa Belletreche, Nadjem Bailek, Mostafa Abotaleb, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
Linfei Yin, Yujie Sun
Energy Conversion and Management (2024) Vol. 321, pp. 119094-119094
Closed Access | Times Cited: 5
Can we trust explainable artificial intelligence in wind power forecasting?
Wenlong Liao, Jiannong Fang, Lin Ye, et al.
Applied Energy (2024) Vol. 376, pp. 124273-124273
Open Access | Times Cited: 4
Overview of Data-Driven Models for Wind Turbine Wake Flows
Maokun Ye, Min Li, Mingqiu Liu, et al.
Journal of Marine Science and Application (2025)
Open Access
Characterizing the Wake Effects on Wind Power Generator Operation by Data-Driven Techniques
Davide Astolfi, Fabrizio De, Alfredo Vaccaro
Energies (2023) Vol. 16, Iss. 15, pp. 5818-5818
Open Access | Times Cited: 9
Research and application of a novel weight-based evolutionary ensemble model using principal component analysis for wind power prediction
Chu Zhang, Zihan Tao, Jinlin Xiong, et al.
Renewable Energy (2024) Vol. 232, pp. 121085-121085
Closed Access | Times Cited: 3
A Non-stationary Transformer model for power forecasting with dynamic data distillation and wake effect correction suitable for large wind farms
Guopeng Zhu, Weiqing Jia, Lifeng Cheng, et al.
Energy Conversion and Management (2024) Vol. 324, pp. 119292-119292
Closed Access | Times Cited: 3
Operation Performance Analysis of a Novel Renewable Energy‐Driven Multienergy Supply System Based on Wind, Photovoltaic, Concentrating Solar Power, Proton Exchange Membrane Electrolyzers, and Proton Exchange Membrane Fuel Cell
Lintong Liu, Rongrong Zhai, Yangdi Hu, et al.
Energy Technology (2023) Vol. 11, Iss. 9
Closed Access | Times Cited: 7
Considering dynamic perception of fluctuation trend for long-foresight-term wind power prediction
Mao Yang, Tiancheng Wang, Xiaobin Zhang, et al.
Energy (2023) Vol. 289, pp. 130016-130016
Closed Access | Times Cited: 7
Cost and capacity optimization of regional wind-hydrogen integrated energy system
Xinghua Liu, Yübo Wang, Zhongbao Wei, et al.
International Journal of Hydrogen Energy (2023) Vol. 49, pp. 571-585
Closed Access | Times Cited: 4
ForecastNet Wind Power Prediction Based on Spatio-Temporal Distribution
Shurong Peng, Lijuan Guo, Haoyu Huang, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 937-937
Open Access | Times Cited: 1
Review of Data-Driven Models in Wind Energy: Demonstration of Blade Twist Optimization Based on Aerodynamic Loads
James Roetzer, Xingjie Li, John Hall
(2024)
Open Access | Times Cited: 1
Diformer: A dynamic self-differential transformer for new energy power autoregressive prediction
Chengjie Zhou, Chao Che, Pengfei Wang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111061-111061
Closed Access | Times Cited: 3
Offshore wind power output prediction based on convolutional attention mechanism
Pingping Xie, Yang Liu, Yinguo Yang, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 4, pp. 13041-13056
Closed Access | Times Cited: 2
Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power
Boudy Bilal, Kaan Yetilmezsoy, Mohammed Ouassaid
Energies (2024) Vol. 17, Iss. 3, pp. 697-697
Open Access
Optimizing Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights Through PSO
Mariam El Jaadi, Touria Haidi, Abdelaziz Belfqih, et al.
Springer proceedings in mathematics & statistics (2024), pp. 173-182
Closed Access
Forecasting of hydrodynamic scheduling requirements for electric fields under extreme operating conditions
Qiuwen Li, Dong Mo, Yan Sun, et al.
Electric Power Systems Research (2024) Vol. 234, pp. 110543-110543
Closed Access
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