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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 novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
Jingjing Song, Jianzhou Wang, Haiyan Lu
Applied Energy (2018) Vol. 215, pp. 643-658
Closed Access | Times Cited: 230

Showing 1-25 of 230 citing articles:

A review of deep learning for renewable energy forecasting
Huaizhi Wang, Zhenxing Lei, Xian Zhang, et al.
Energy Conversion and Management (2019) Vol. 198, pp. 111799-111799
Closed Access | Times Cited: 861
An improved grey wolf optimizer for solving engineering problems
Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili
Expert Systems with Applications (2020) Vol. 166, pp. 113917-113917
Closed Access | Times Cited: 803
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: 538
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Aytaç Altan, Seçkin Karasu, Enrico Zio
Applied Soft Computing (2020) Vol. 100, pp. 106996-106996
Open Access | Times Cited: 514
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: 329
Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model
Jinhua Zhang, Jie Yan, David Infield, et al.
Applied Energy (2019) Vol. 241, pp. 229-244
Open Access | Times Cited: 320
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
Hui Liu, Chao Chen
Applied Energy (2019) Vol. 249, pp. 392-408
Closed Access | Times Cited: 295
A combined forecasting model for time series: Application to short-term wind speed forecasting
Zhenkun Liu, Ping Jiang, Lifang Zhang, et al.
Applied Energy (2019) Vol. 259, pp. 114137-114137
Closed Access | Times Cited: 258
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Hui Liu, Chao Chen, Xinwei Lv, et al.
Energy Conversion and Management (2019) Vol. 195, pp. 328-345
Closed Access | Times Cited: 250
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
Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil
Ali Khosravi, Luiz Machado, Raphael Nunes
Applied Energy (2018) Vol. 224, pp. 550-566
Closed Access | Times Cited: 201
A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting
Xinsong Niu, Jiyang Wang
Applied Energy (2019) Vol. 241, pp. 519-539
Closed Access | Times Cited: 192
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: 192
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
Zichen Zhang, Wei‐Chiang Hong
Knowledge-Based Systems (2021) Vol. 228, pp. 107297-107297
Closed Access | Times Cited: 183
Sequence transfer correction algorithm for numerical weather prediction wind speed and its application in a wind power forecasting system
Han Wang, Shuang Han, Yongqian Liu, et al.
Applied Energy (2019) Vol. 237, pp. 1-10
Closed Access | Times Cited: 176
Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short -term memory neural network
Jiandong Duan, Peng Wang, Wentao Ma, et al.
Energy (2020) Vol. 214, pp. 118980-118980
Closed Access | Times Cited: 175
A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Yong Zhou, Yanfeng Liu, Dengjia Wang, et al.
Energy Conversion and Management (2021) Vol. 235, pp. 113960-113960
Closed Access | Times Cited: 173
Random forest solar power forecast based on classification optimization
Da Liu, Kun Sun
Energy (2019) Vol. 187, pp. 115940-115940
Closed Access | Times Cited: 149
A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting
Hui Liu, Chengqing Yu, Haiping Wu, et al.
Energy (2020) Vol. 202, pp. 117794-117794
Closed Access | Times Cited: 145
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: 144
Applications of random forest in multivariable response surface for short-term load forecasting
Guo‐Feng Fan, Liu-Zhen Zhang, Meng Yu, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 139, pp. 108073-108073
Closed Access | Times Cited: 140
Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges
Peng Lu, Lin Ye, Yongning Zhao, et al.
Applied Energy (2021) Vol. 301, pp. 117446-117446
Closed Access | Times Cited: 129
Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107712-107712
Closed Access | Times Cited: 119
Two-phase deep learning model for short-term wind direction forecasting
Zhenhao Tang, Gengnan Zhao, Tinghui Ouyang
Renewable Energy (2021) Vol. 173, pp. 1005-1016
Closed Access | Times Cited: 103
A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers
Tao Liang, Qing Zhao, Qingzhao Lv, et al.
Energy (2021) Vol. 230, pp. 120904-120904
Closed Access | Times Cited: 102
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