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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 high-accuracy hybrid method for short-term wind power forecasting
Sahra Khazaei, Mehdi Ehsan, Soodabeh Soleymani, et al.
Energy (2021) Vol. 238, pp. 122020-122020
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Boosted ANFIS model using augmented marine predator algorithm with mutation operators for wind power forecasting
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Applied Energy (2022) Vol. 314, pp. 118851-118851
Closed Access | Times Cited: 102
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
Sheng-Xiang Lv, Lin Wang
Energy (2022) Vol. 263, pp. 126100-126100
Closed Access | Times Cited: 80
The univariate model for long-term wind speed forecasting based on wavelet soft threshold denoising and improved Autoformer
Guihua Ban, Yan Chen, Zhenhua Xiong, et al.
Energy (2024) Vol. 290, pp. 130225-130225
Closed Access | Times Cited: 17
Two-stage Day-ahead Multi-step Prediction of Wind Power Considering Time-series Information Interaction
Mao Yang, Xiangyu Li, Fulin Fan, et al.
Energy (2024) Vol. 312, pp. 133580-133580
Closed Access | Times Cited: 14
An online-learning-enabled self-attention-based model for ultra-short-term wind power forecasting
Xiaoran Dai, Shuai Liu, Wenshan Hu
Energy (2023) Vol. 272, pp. 127173-127173
Closed Access | Times Cited: 37
Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research
Han Peng, Songyin Li, Linjian Shangguan, et al.
Sustainability (2023) Vol. 15, Iss. 10, pp. 8333-8333
Open Access | Times Cited: 26
A wind speed forecasting model based on multi-objective algorithm and interpretability learning
Min Li, Yi Yang, Zhaoshuang He, et al.
Energy (2023) Vol. 269, pp. 126778-126778
Closed Access | Times Cited: 25
A Review of Modern Wind Power Generation Forecasting Technologies
Wen-Chang Tsai, Chih-Ming Hong, Chia‐Sheng Tu, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 10757-10757
Open Access | Times Cited: 23
A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
Guolian Hou, Junjie Wang, Yuzhen Fan, et al.
Renewable Energy (2024) Vol. 226, pp. 120360-120360
Closed Access | Times Cited: 11
Novel wind power ensemble forecasting system based on mixed-frequency modeling and interpretable base model selection strategy
Xiaodi Wang, Hao Yan, Wendong Yang
Energy (2024) Vol. 297, pp. 131142-131142
Closed Access | Times Cited: 11
Optimal integration and planning of PV and wind renewable energy sources into distribution networks using the hybrid model of analytical techniques and metaheuristic algorithms: A deep learning-based approach
Ali Avar, Ehsan Ghanbari
Computers & Electrical Engineering (2024) Vol. 117, pp. 109280-109280
Closed Access | Times Cited: 10
A review of short-term wind power generation forecasting methods in recent technological trends
Ezgi Arslan Tuncar, Şafak Sağlam, Bülent Oral
Energy Reports (2024) Vol. 12, pp. 197-209
Closed Access | Times Cited: 9
Short-term wind power forecasting and uncertainty analysis based on FCM–WOA–ELM–GMM
Bo Gu, Hao Hu, Jian Zhao, et al.
Energy Reports (2022) Vol. 9, pp. 807-819
Open Access | Times Cited: 32
Wind power prediction using random vector functional link network with capuchin search algorithm
Mohammed A. A. Al‐qaness, Ahmed A. Ewees, Hong Fan, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 9, pp. 102095-102095
Open Access | Times Cited: 30
A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 28
VMD-CAT: A hybrid model for short-term wind power prediction
Huan Zheng, Zhenda Hu, Xuguang Wang, et al.
Energy Reports (2023) Vol. 9, pp. 199-211
Open Access | Times Cited: 20
A new demand response management strategy considering renewable energy prediction and filtering technology
Xidong Zheng, Feifei Bai, Zhiyuan Zhuang, et al.
Renewable Energy (2023) Vol. 211, pp. 656-668
Open Access | Times Cited: 19
Feature fusion temporal convolution: Wind power forecasting with light hyperparameter optimization
Majad Mansoor, Tao Gong, Adeel Feroz Mirza, et al.
Energy Reports (2025) Vol. 13, pp. 2468-2481
Closed Access
Novel model for medium to long term photovoltaic power prediction using interactive feature trend transformer
Xiang Liu, Qingyu Liu, Shuai Feng, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A D-stacking dual-fusion, spatio-temporal graph deep neural network based on a multi-integrated overlay for short-term wind-farm cluster power multi-step prediction
Zhijian Qu, Jian Li, Xinxing Hou, et al.
Energy (2023) Vol. 281, pp. 128289-128289
Closed Access | Times Cited: 14
An Adaptive Hybrid Model for Wind Power Prediction Based on the IVMD-FE-Ad-Informer
Yuqian Tian, Dazhi Wang, Guolin Zhou, et al.
Entropy (2023) Vol. 25, Iss. 4, pp. 647-647
Open Access | Times Cited: 13
Adaptive short-term wind power forecasting with concept drifts
Yanting Li, Zhenyu Wu, Yan Su
Renewable Energy (2023) Vol. 217, pp. 119146-119146
Closed Access | Times Cited: 12
Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 4
EGD-SNet: A computational search engine for predicting an end-to-end machine learning pipeline for Energy Generation & Demand Forecasting
Faiza Mehmood, Muhammad Usman Ghani Khan, Hina Ghafoor, et al.
Applied Energy (2022) Vol. 324, pp. 119754-119754
Closed Access | Times Cited: 20
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