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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 generalized dynamic fuzzy neural network based on singular spectrum analysis optimized by brain storm optimization for short-term wind speed forecasting
Xuejiao Ma, Yu Jin, Qingli Dong
Applied Soft Computing (2017) Vol. 54, pp. 296-312
Closed Access | Times Cited: 188

Showing 1-25 of 188 citing articles:

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: 488
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: 430
A survey of artificial neural network in wind energy systems
Alberto Pliego Marugán, Fausto Pedro Garcı́a Márquez, Jesús María Pinar-Pérez, et al.
Applied Energy (2018) Vol. 228, pp. 1822-1836
Open Access | Times Cited: 418
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: 370
Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
Jie Chen, Guo‐Qiang Zeng, Wuneng Zhou, et al.
Energy Conversion and Management (2018) Vol. 165, pp. 681-695
Closed Access | Times Cited: 367
Wind power prediction using deep neural network based meta regression and transfer learning
Aqsa Saeed Qureshi, Asifullah Khan, Aneela Zameer, et al.
Applied Soft Computing (2017) Vol. 58, pp. 742-755
Closed Access | Times Cited: 342
Short-term offshore wind speed forecast by seasonal ARIMA - A comparison against GRU and LSTM
Xiaolei Liu, Zi Lin, Zi‐Ming Feng
Energy (2021) Vol. 227, pp. 120492-120492
Open Access | Times Cited: 310
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
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 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: 260
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: 253
A novel hybrid model for short-term wind power forecasting
Pei Du, Jianzhou Wang, Wendong Yang, et al.
Applied Soft Computing (2019) Vol. 80, pp. 93-106
Closed Access | Times Cited: 237
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: 222
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
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: 185
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: 180
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: 175
Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
Xiaohui Yuan, Chen Chen, Min Jiang, et al.
Applied Soft Computing (2019) Vol. 82, pp. 105550-105550
Closed Access | Times Cited: 170
Interval Deep Generative Neural Network for Wind Speed Forecasting
Mahdi Khodayar, Jianhui Wang, Mohammad Manthouri
IEEE Transactions on Smart Grid (2018) Vol. 10, Iss. 4, pp. 3974-3989
Closed Access | Times Cited: 168
Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
Wenlong Fu, Kai Wang, Chaoshun Li, et al.
Energy Conversion and Management (2019) Vol. 187, pp. 356-377
Closed Access | Times Cited: 162
Short-term wind speed prediction based on LMD and improved FA optimized combined kernel function LSSVM
Zhongda Tian
Engineering Applications of Artificial Intelligence (2020) Vol. 91, pp. 103573-103573
Closed Access | Times Cited: 159
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 novel deep learning ensemble model with data denoising for short-term wind speed forecasting
Zhiyun Peng, Sui Peng, Lidan Fu, et al.
Energy Conversion and Management (2020) Vol. 207, pp. 112524-112524
Closed Access | Times Cited: 145
Hourly day ahead wind speed forecasting based on a hybrid model of EEMD, CNN-Bi-LSTM embedded with GA optimization
Thi Hoai Thu Nguyen, Quoc Bao Phan
Energy Reports (2022) Vol. 8, pp. 53-60
Open Access | Times Cited: 78
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