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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:

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction
Chu Zhang, Huixin Ma, Lei Hua, et al.
Energy (2022) Vol. 254, pp. 124250-124250
Closed Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction
Jinlin Xiong, Peng Tian, Zihan Tao, et al.
Energy (2022) Vol. 266, pp. 126419-126419
Closed Access | Times Cited: 144
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
Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis
Celal Çakıroğlu, Sercan Demir, Mehmet Hakan Özdemir, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121464-121464
Closed Access | Times Cited: 76
A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
Chu Zhang, Peng Tian, Muhammad Shahzad Nazir
Electric Power Systems Research (2022) Vol. 213, pp. 108796-108796
Closed Access | Times Cited: 70
Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm
Leiming Suo, Peng Tian, Shihao Song, et al.
Energy (2023) Vol. 276, pp. 127526-127526
Closed Access | Times Cited: 67
A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM
Jingzhou Xin, Chaoying Zhou, Yan Jiang, et al.
Measurement (2023) Vol. 214, pp. 112797-112797
Closed Access | Times Cited: 64
A dual-optimization wind speed forecasting model based on deep learning and improved dung beetle optimization algorithm
Yanhui Li, Kaixuan Sun, Qi Yao, et al.
Energy (2023) Vol. 286, pp. 129604-129604
Closed Access | Times Cited: 61
A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters
Kezheng Ren, Jun Liu, Zeyang Wu, et al.
Applied Energy (2023) Vol. 355, pp. 122258-122258
Closed Access | Times Cited: 43
Evolutionary gate recurrent unit coupling convolutional neural network and improved manta ray foraging optimization algorithm for performance degradation prediction of PEMFC
Zihan Tao, Chu Zhang, Jinlin Xiong, et al.
Applied Energy (2023) Vol. 336, pp. 120821-120821
Closed Access | Times Cited: 39
A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 31
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 25
Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20
A hybrid ensemble optimized BiGRU method for short-term photovoltaic generation forecasting
Yeming Dai, Weijie Yu, Mingming Leng
Energy (2024) Vol. 299, pp. 131458-131458
Closed Access | Times Cited: 17
High-resolution PV power prediction model based on the deep learning and attention mechanism
Seyed Mahdi Miraftabzadeh, Michela Longo
Sustainable Energy Grids and Networks (2023) Vol. 34, pp. 101025-101025
Closed Access | Times Cited: 38
A hybrid photovoltaic/wind power prediction model based on Time2Vec, WDCNN and BiLSTM
Donghan Geng, Bo Wang, Qi Gao
Energy Conversion and Management (2023) Vol. 291, pp. 117342-117342
Closed Access | Times Cited: 38
A novel hybrid model based on GA-VMD, sample entropy reconstruction and BiLSTM for wind speed prediction
Zhenjie Liu, Haizhong Liu
Measurement (2023) Vol. 222, pp. 113643-113643
Closed Access | Times Cited: 38
A novel wind power forecasting system integrating time series refining, nonlinear multi-objective optimized deep learning and linear error correction
Jianzhou Wang, Yuansheng Qian, Linyue Zhang, et al.
Energy Conversion and Management (2023) Vol. 299, pp. 117818-117818
Closed Access | Times Cited: 38
Multistep short-term wind power forecasting model based on secondary decomposition, the kernel principal component analysis, an enhanced arithmetic optimization algorithm, and error correction
Guolian Hou, Junjie Wang, Yuzhen Fan
Energy (2023) Vol. 286, pp. 129640-129640
Closed Access | Times Cited: 37
High and low frequency wind power prediction based on Transformer and BiGRU-Attention
Shuangxin Wang, Jiarong Shi, Wei Yang, et al.
Energy (2023) Vol. 288, pp. 129753-129753
Closed Access | Times Cited: 37
Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy
Shaolong Sun, Zongjuan Du, Kun Jin, et al.
Applied Energy (2023) Vol. 350, pp. 121749-121749
Closed Access | Times Cited: 33
Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, John Scott, et al.
Energy (2023) Vol. 278, pp. 127852-127852
Closed Access | Times Cited: 32
A two-channel deep network based model for improving ultra-short-term prediction of wind power via utilizing multi-source data
Hong Liu, Luoxiao Yang, Bingying Zhang, et al.
Energy (2023) Vol. 283, pp. 128510-128510
Closed Access | Times Cited: 25
A novel wind power prediction model improved with feature enhancement and autoregressive error compensation
Jianing Wang, Hongqiu Zhu, Fei Cheng, et al.
Journal of Cleaner Production (2023) Vol. 420, pp. 138386-138386
Closed Access | Times Cited: 25
A hierarchical multi-leadership sine cosine algorithm to dissolving global optimization and data classification: The COVID-19 case study
Mingyang Zhong, Jiahui Wen, Jingwei Ma, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107212-107212
Closed Access | Times Cited: 23
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 13
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