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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 combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
Wenyu Zhang, Zongxi Qu, Kequan Zhang, et al.
Energy Conversion and Management (2017) Vol. 136, pp. 439-451
Closed Access | Times Cited: 336

Showing 1-25 of 336 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: 538
Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
Aasim, S. N. Singh, Abheejeet Mohapatra
Renewable Energy (2019) Vol. 136, pp. 758-768
Closed Access | Times Cited: 482
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Hui Liu, Xiwei Mi, Yan-fei Li
Energy Conversion and Management (2017) Vol. 156, pp. 498-514
Closed Access | Times Cited: 420
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
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
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
A novel hybrid system based on a new proposed algorithm—Multi-Objective Whale Optimization Algorithm for wind speed forecasting
Jianzhou Wang, Pei Du, Tong Niu, et al.
Applied Energy (2017) Vol. 208, pp. 344-360
Closed Access | Times Cited: 272
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: 251
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
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
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
Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm
Zichen Zhang, Wei‐Chiang Hong
Nonlinear Dynamics (2019) Vol. 98, Iss. 2, pp. 1107-1136
Closed Access | Times Cited: 195
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
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
Ramendra Prasad, Ravinesh C. Deo, Yan Li, et al.
Geoderma (2018) Vol. 330, pp. 136-161
Closed Access | Times Cited: 188
A novel hybrid system based on multi-objective optimization for wind speed forecasting
Chunying Wu, Jianzhou Wang, Xuejun Chen, et al.
Renewable Energy (2019) Vol. 146, pp. 149-165
Closed Access | Times Cited: 184
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
A review of very short-term wind and solar power forecasting
Rosemary Tawn, Jethro Browell
Renewable and Sustainable Energy Reviews (2021) Vol. 153, pp. 111758-111758
Open Access | Times Cited: 176
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Hui Liu, Xiwei Mi, Yanfei Li, et al.
Renewable Energy (2019) Vol. 143, pp. 842-854
Closed Access | Times Cited: 174
Multi-step wind speed forecasting based on a hybrid decomposition technique and an improved back-propagation neural network
Zongxi Qu, Wenqian Mao, Kequan Zhang, et al.
Renewable Energy (2018) Vol. 133, pp. 919-929
Closed Access | Times Cited: 163
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
Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China
Wendong Yang, Jianzhou Wang, Haiyan Lu, et al.
Journal of Cleaner Production (2019) Vol. 222, pp. 942-959
Open Access | Times Cited: 149
A long-term prediction approach based on long short-term memory neural networks with automatic parameter optimization by Tree-structured Parzen Estimator and applied to time-series data of NPP steam generators
Hoang-Phuong Nguyen, Jie Liu, Enrico Zio
Applied Soft Computing (2020) Vol. 89, pp. 106116-106116
Open Access | Times Cited: 137
Multi-step-ahead wind speed forecasting based on a hybrid decomposition method and temporal convolutional networks
Dan Li, Fuxin Jiang, Min Chen, et al.
Energy (2021) Vol. 238, pp. 121981-121981
Closed Access | Times Cited: 135
Short-Term Nacelle Orientation Forecasting Using Bilinear Transformation and ICEEMDAN Framework
Huajin Li, Jiahao Deng, Peng Feng, et al.
Frontiers in Energy Research (2021) Vol. 9
Open Access | Times Cited: 131
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