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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:

Short-term wind speed forecasting using empirical mode decomposition and feature selection
Chi Zhang, Haikun Wei, Junsheng Zhao, et al.
Renewable Energy (2016) Vol. 96, pp. 727-737
Closed Access | Times Cited: 172

Showing 1-25 of 172 citing articles:

A review of wind speed and wind power forecasting with deep neural networks
Yun Wang, Runmin Zou, Fang Liu, et al.
Applied Energy (2021) Vol. 304, pp. 117766-117766
Closed Access | Times Cited: 545
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Hui Liu, Xiwei Mi, Yanfei Li
Energy Conversion and Management (2018) Vol. 159, pp. 54-64
Closed Access | Times Cited: 429
A survey of artificial neural network in wind energy systems
Alberto Pliego Marugán, Fausto Pedro Garcı́a Márquez, Jesús María Pinar-Pérez, et al.
Applied Energy (2018) Vol. 228, pp. 1822-1836
Open Access | Times Cited: 417
A review and discussion of decomposition-based hybrid models for wind energy forecasting applications
Zheng Qian, Yan Pei, Hamidreza Zareipour, et al.
Applied Energy (2018) Vol. 235, pp. 939-953
Closed Access | Times Cited: 332
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
Hui Liu, Xiwei Mi, Yanfei Li
Energy Conversion and Management (2018) Vol. 166, pp. 120-131
Closed Access | Times Cited: 286
Short-term wind speed prediction model based on GA-ANN improved by VMD
Yagang Zhang, Guifang Pan, Bing Chen, et al.
Renewable Energy (2019) Vol. 156, pp. 1373-1388
Closed Access | Times Cited: 262
Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression
Zhendong Zhang, Lei Ye, Hui Qin, et al.
Applied Energy (2019) Vol. 247, pp. 270-284
Closed Access | Times Cited: 260
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
Gholamreza Memarzadeh, Farshid Keynia
Energy Conversion and Management (2020) Vol. 213, pp. 112824-112824
Closed Access | Times Cited: 252
A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting
Yagang Zhang, Bing Chen, Guifang Pan, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 180-197
Closed Access | Times Cited: 222
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
Xiwei Mi, Hui Liu, Yanfei Li
Energy Conversion and Management (2018) Vol. 180, pp. 196-205
Closed Access | Times Cited: 221
Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network
Wei Sun, Yuwei Wang
Energy Conversion and Management (2017) Vol. 157, pp. 1-12
Closed Access | Times Cited: 209
A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm
Jianzhou Wang, Wendong Yang, Pei Du, et al.
Energy Conversion and Management (2018) Vol. 163, pp. 134-150
Closed Access | Times Cited: 206
Short-term wind speed forecasting using recurrent neural networks with error correction
Jikai Duan, Hongchao Zuo, Yulong Bai, et al.
Energy (2020) Vol. 217, pp. 119397-119397
Closed Access | Times Cited: 193
Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction
Santhosh Madasthu, Chintham Venkaiah, D. M. Vinod Kumar
Energy Conversion and Management (2018) Vol. 168, pp. 482-493
Closed Access | Times Cited: 189
A Gaussian process regression based hybrid approach for short-term wind speed prediction
Chi Zhang, Haikun Wei, Xin Zhao, et al.
Energy Conversion and Management (2016) Vol. 126, pp. 1084-1092
Closed Access | Times Cited: 167
Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Energy Conversion and Management (2019) Vol. 187, pp. 356-377
Closed Access | Times Cited: 162
A Review on Hybrid Empirical Mode Decomposition Models for Wind Speed and Wind Power Prediction
Neeraj Dhanraj Bokde, Andrés Feijóo, Daniel Villanueva, et al.
Energies (2019) Vol. 12, Iss. 2, pp. 254-254
Open Access | Times Cited: 150
Forecast Methods for Time Series Data: A Survey
Zhenyu Liu, Zhengtong Zhu, Jing Gao, et al.
IEEE Access (2021) Vol. 9, pp. 91896-91912
Open Access | Times Cited: 129
A novel offshore wind farm typhoon wind speed prediction model based on PSO–Bi-LSTM improved by VMD
Jiale Li, Zihao Song, Xuefei Wang, et al.
Energy (2022) Vol. 251, pp. 123848-123848
Closed Access | Times Cited: 119
A short-term wind power prediction model based on CEEMD and WOA-KELM
Yunfei Ding, Zijun Chen, Hongwei Zhang, et al.
Renewable Energy (2022) Vol. 189, pp. 188-198
Closed Access | Times Cited: 113
A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62
Feature selection in machine learning prediction systems for renewable energy applications
Sancho Salcedo‐Sanz, L. Cornejo-Bueno, Luís Prieto, et al.
Renewable and Sustainable Energy Reviews (2018) Vol. 90, pp. 728-741
Closed Access | Times Cited: 150
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Hui Liu, Xiwei Mi, Yanfei Li
Renewable Energy (2018) Vol. 123, pp. 694-705
Closed Access | Times Cited: 149
A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting
Chaoshun Li, Zhengguang Xiao, Xin Xia, et al.
Applied Energy (2018) Vol. 215, pp. 131-144
Closed Access | Times Cited: 141
Research and application of a combined model based on variable weight for short term wind speed forecasting
Hongmin Li, Jianzhou Wang, Haiyan Lu, et al.
Renewable Energy (2017) Vol. 116, pp. 669-684
Open Access | Times Cited: 140
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