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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:

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

Showing 1-25 of 429 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: 867
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
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang, Jiannong Cao, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3681-3700
Open Access | Times Cited: 540
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 comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network
Kejun Wang, Xiaoxia Qi, Hongda Liu
Applied Energy (2019) Vol. 251, pp. 113315-113315
Closed Access | Times Cited: 455
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad, Hongcai Zhang, Biao Yan
Sustainable Cities and Society (2020) Vol. 55, pp. 102052-102052
Closed Access | Times Cited: 368
Stock closing price prediction based on sentiment analysis and LSTM
Zhigang Jin, Yang Yang, Yuhong Liu
Neural Computing and Applications (2019) Vol. 32, Iss. 13, pp. 9713-9729
Closed Access | Times Cited: 334
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: 321
Short-term global horizontal irradiance forecasting based on a hybrid CNN-LSTM model with spatiotemporal correlations
Haixiang Zang, Ling Liu, Li Sun, et al.
Renewable Energy (2020) Vol. 160, pp. 26-41
Closed Access | Times Cited: 312
Data-driven proton exchange membrane fuel cell degradation predication through deep learning method
Rui Ma, Tao Yang, Elena Breaz, et al.
Applied Energy (2018) Vol. 231, pp. 102-115
Closed Access | Times Cited: 299
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: 296
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
Mahdi Sharifzadeh, Alexandra Sikinioti-Lock, Nilay Shah
Renewable and Sustainable Energy Reviews (2019) Vol. 108, pp. 513-538
Closed Access | Times Cited: 294
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
A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
Ya-Lan Hu, Liang Chen
Energy Conversion and Management (2018) Vol. 173, pp. 123-142
Closed Access | Times Cited: 284
Grey relational analysis, principal component analysis and forecasting of carbon emissions based on long short-term memory in China
Yuansheng Huang, Lei Shen, Hui Liu
Journal of Cleaner Production (2018) Vol. 209, pp. 415-423
Closed Access | Times Cited: 282
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
Ming-De Liu, Lin Ding, Yulong Bai
Energy Conversion and Management (2021) Vol. 233, pp. 113917-113917
Closed Access | Times Cited: 263
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
LSTM-EFG for wind power forecasting based on sequential correlation features
Ruiguo Yu, Jie Gao, Mei Yu, et al.
Future Generation Computer Systems (2018) Vol. 93, pp. 33-42
Closed Access | Times Cited: 253
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
A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM
Min-Rong Chen, Guo‐Qiang Zeng, Kang‐Di Lu, et al.
IEEE Internet of Things Journal (2019) Vol. 6, Iss. 4, pp. 6997-7010
Closed Access | Times Cited: 218
Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
Ganggang Zuo, Jungang Luo, Ni Wang, et al.
Journal of Hydrology (2020) Vol. 585, pp. 124776-124776
Closed Access | Times Cited: 207
A review and taxonomy of wind and solar energy forecasting methods based on deep learning
Ghadah Alkhayat, Rashid Mehmood
Energy and AI (2021) Vol. 4, pp. 100060-100060
Open Access | Times Cited: 204
Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network
Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, Viviana Cocco Mariani, et al.
Energy Conversion and Management (2020) Vol. 213, pp. 112869-112869
Closed Access | Times Cited: 185
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: 179
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