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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 deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy Conversion and Management (2021) Vol. 236, pp. 114002-114002
Closed Access | Times Cited: 181

Showing 1-25 of 181 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: 556
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: 151
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 149
New developments in wind energy forecasting with artificial intelligence and big data: a scientometric insight
Erlong Zhao, Shaolong Sun, Shouyang Wang
Data Science and Management (2022) Vol. 5, Iss. 2, pp. 84-95
Open Access | Times Cited: 119
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
Dongxiao Niu, Lijie Sun, Min Yu, et al.
Energy (2022) Vol. 254, pp. 124384-124384
Closed Access | Times Cited: 109
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: 99
Multistep short-term wind speed forecasting using transformer
Huijuan Wu, Keqilao Meng, Daoerji Fan, et al.
Energy (2022) Vol. 261, pp. 125231-125231
Open Access | Times Cited: 89
Near real-time wind speed forecast model with bidirectional LSTM networks
Lionel Joseph, Ravinesh C. Deo, Ramendra Prasad, et al.
Renewable Energy (2023) Vol. 204, pp. 39-58
Closed Access | Times Cited: 81
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: 66
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
Ultra-short-term wind power forecasting based on deep Bayesian model with uncertainty
Lei Liu, Jicheng Liu, Yu Ye, et al.
Renewable Energy (2023) Vol. 205, pp. 598-607
Closed Access | Times Cited: 55
An imputation and decomposition algorithms based integrated approach with bidirectional LSTM neural network for wind speed prediction
Karan Sareen, Bijaya Ketan Panigrahi, Tushar Shikhola, et al.
Energy (2023) Vol. 278, pp. 127799-127799
Closed Access | Times Cited: 50
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: 44
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Zhihao Shang, Yao Chen, Yanhua Chen, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119878-119878
Closed Access | Times Cited: 43
Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
Vikash Kumar Saini, Rajesh Kumar, Ameena Saad Al‐Sumaiti, et al.
Electric Power Systems Research (2023) Vol. 222, pp. 109502-109502
Closed Access | Times Cited: 43
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Hoda Zamani, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0280006-e0280006
Open Access | Times Cited: 42
Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy
Mehdi Neshat, Meysam Majidi Nezhad, Seyedali Mirjalili, et al.
Energy (2023) Vol. 278, pp. 127701-127701
Open Access | Times Cited: 42
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: 42
CNN–LSTM–AM: A power prediction model for offshore wind turbines
Yu Sun, Qibo Zhou, Li Sun, et al.
Ocean Engineering (2024) Vol. 301, pp. 117598-117598
Closed Access | Times Cited: 28
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: 26
A novel ensemble system for short-term wind speed forecasting based on hybrid decomposition approach and artificial intelligence models optimized by self-attention mechanism
Junheng Pang, Sheng Dong
Energy Conversion and Management (2024) Vol. 307, pp. 118343-118343
Closed Access | Times Cited: 23
Arctic short-term wind speed forecasting based on CNN-LSTM model with CEEMDAN
Qingyang Li, Guosong Wang, Xinrong Wu, et al.
Energy (2024) Vol. 299, pp. 131448-131448
Closed Access | Times Cited: 22
Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition
Binrong Wu, Sihao Yu, Lu Peng, et al.
Energy (2024) Vol. 294, pp. 130782-130782
Closed Access | Times Cited: 17
Effective mitigation of climate change with sustainable development of energy, water and environment systems
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2022) Vol. 269, pp. 116146-116146
Closed Access | Times Cited: 67
A novel prediction model for wind power based on improved long short-term memory neural network
Jianing Wang, Hongqiu Zhu, Yingjie Zhang, et al.
Energy (2022) Vol. 265, pp. 126283-126283
Closed Access | Times Cited: 67
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