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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:

Wind power prediction based on EEMD-Tent-SSA-LS-SVM
Zheng Li, Xiaorui Luo, Mengjie Liu, et al.
Energy Reports (2022) Vol. 8, pp. 3234-3243
Open Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Advances in Sparrow Search Algorithm: A Comprehensive Survey
Farhad Soleimanian Gharehchopogh, Mohammad Namazi, Laya Ebrahimi, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 427-455
Open Access | Times Cited: 224
Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU
Chaolong Zhang, Laijin Luo, Yang Zhong, et al.
Green Energy and Intelligent Transportation (2023) Vol. 2, Iss. 5, pp. 100108-100108
Open Access | Times Cited: 93
Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model
Simin Peng, Junchao Zhu, Tiezhou Wu, et al.
Energy (2024) Vol. 298, pp. 131345-131345
Closed Access | Times Cited: 38
A novel DWTimesNet-based short-term multi-step wind power forecasting model using feature selection and auto-tuning methods
Chu Zhang, Yuhan Wang, Yongyan Fu, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118045-118045
Closed Access | Times Cited: 23
Wind power forecasting based on new hybrid model with TCN residual modification
Jiaojiao Zhu, Liancheng Su, Yingwei Li
Energy and AI (2022) Vol. 10, pp. 100199-100199
Open Access | Times Cited: 48
A novel approach to ultra-short-term wind power prediction based on feature engineering and informer
Wei Hui, Wensheng Wang, Xiaoxuan Kao
Energy Reports (2022) Vol. 9, pp. 1236-1250
Open Access | Times Cited: 43
Short-term wind power prediction method based on deep clustering-improved Temporal Convolutional Network
Yiwei Sheng, Han Wang, Jie Yan, et al.
Energy Reports (2023) Vol. 9, pp. 2118-2129
Open Access | Times Cited: 30
Short-Term Wind Power Prediction by an Extreme Learning Machine Based on an Improved Hunter–Prey Optimization Algorithm
Xiangyue Wang, Li Ji, Lei Shao, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 991-991
Open Access | Times Cited: 23
A multi-step wind power group forecasting seq2seq architecture with spatial–temporal feature fusion and numerical weather prediction correction
Shiwei Xu, Yongjun Wang, Xinglei Xu, et al.
Energy (2024) Vol. 291, pp. 130352-130352
Closed Access | Times Cited: 14
SVMD-TF-QS: An efficient and novel hybrid methodology for the wind speed prediction
Srihari Parri, Kiran Teeparthi
Expert Systems with Applications (2024) Vol. 249, pp. 123516-123516
Closed Access | Times Cited: 11
MRIformer: A multi-resolution interactive transformer for wind speed multi-step prediction
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Information Sciences (2024) Vol. 661, pp. 120150-120150
Closed Access | Times Cited: 10
Short‐term photovoltaic prediction based on CNN‐GRU optimized by improved similar day extraction, decomposition noise reduction and SSA optimization
Rui Li, Mingtao Wang, X. Li, et al.
IET Renewable Power Generation (2024) Vol. 18, Iss. 6, pp. 908-928
Open Access | Times Cited: 8
A novel conceptual design approach for autonomous underwater helicopter based on multidisciplinary collaborative optimization
Yuan-Jie Chen, Haocai Huang
Engineering Applications of Computational Fluid Mechanics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 8
Novel hybrid multi-head self-attention and multifractal algorithm for non-stationary time series prediction
Xiang Yu, DONGMEI ZHANG, Tianqing Zhu, et al.
Information Sciences (2022) Vol. 613, pp. 541-555
Closed Access | Times Cited: 35
Short-term prediction of the power of a new wind turbine based on IAO-LSTM
Zheng Li, Xiaorui Luo, Mengjie Liu, et al.
Energy Reports (2022) Vol. 8, pp. 9025-9037
Open Access | Times Cited: 33
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: 31
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
Yinsong Chen, Samson S. Yu, Shama Naz Islam, et al.
Energy Reports (2022) Vol. 8, pp. 8805-8820
Open Access | Times Cited: 30
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: 6
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: 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 speed forecasting based on two-stage preprocessing method, sparrow search algorithm and long short-term memory neural network
Xue-Yi Ai, Shijia Li, Haoxuan Xu
Energy Reports (2022) Vol. 8, pp. 14997-15010
Open Access | Times Cited: 24
A hybrid forecasting system with complexity identification and improved optimization for short-term wind speed prediction
Yagang Zhang, Yinchuan Chen, Zihan Qi, et al.
Energy Conversion and Management (2022) Vol. 270, pp. 116221-116221
Closed Access | Times Cited: 23
A novel multi-gradient evolutionary deep learning approach for few-shot wind power prediction using time-series GAN
Anbo Meng, Hai‐Tao Zhang, Hao Yin, et al.
Energy (2023) Vol. 283, pp. 129139-129139
Closed Access | Times Cited: 15
Ultra-short-term wind power prediction based on PVMD-ESMA-DELM
Guoqing An, Libo Chen, Jianxin Tan, et al.
Energy Reports (2022) Vol. 8, pp. 8574-8588
Open Access | Times Cited: 20
A novel chaotic time series wind power point and interval prediction method based on data denoising strategy and improved coati optimization algorithm
Chao Wang, Lin Hon, Ming Yang, et al.
Chaos Solitons & Fractals (2024) Vol. 187, pp. 115442-115442
Closed Access | Times Cited: 4
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