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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 new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic
Yagang Zhang, Yuan Zhao, Chunhui Kong, et al.
Energy Conversion and Management (2019) Vol. 203, pp. 112254-112254
Closed Access | Times Cited: 179

Showing 26-50 of 179 citing articles:

Uncertain wind power forecasting using LSTM‐based prediction interval
Abhishek Banik, Chinmay Kumar Behera, Tirunagaru V. Sarathkumar, et al.
IET Renewable Power Generation (2020) Vol. 14, Iss. 14, pp. 2657-2667
Closed Access | Times Cited: 61
Short-Term Wind Speed Forecasting Based on Information of Neighboring Wind Farms
Zhongju Wang, Jing Zhang, Zhang Yu, et al.
IEEE Access (2020) Vol. 8, pp. 16760-16770
Open Access | Times Cited: 57
A combined framework based on data preprocessing, neural networks and multi-tracker optimizer for wind speed prediction
Jianzhou Wang, Ying Wang, Zhiwu Li, et al.
Sustainable Energy Technologies and Assessments (2020) Vol. 40, pp. 100757-100757
Closed Access | Times Cited: 56
A novel method for online real-time forecasting of crude oil price
Yuan Zhao, Weiguo Zhang, Xue Gong, et al.
Applied Energy (2021) Vol. 303, pp. 117588-117588
Closed Access | Times Cited: 47
A short-term wind energy hybrid optimal prediction system with denoising and novel error correction technique
Yagang Zhang, Jinghui Zhang, Leyi Yu, et al.
Energy (2022) Vol. 254, pp. 124378-124378
Closed Access | Times Cited: 36
A multimodal approach to chaotic renewable energy prediction using meteorological and historical information
Hui Hwang Goh, Ronghui He, Dongdong Zhang, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108487-108487
Closed Access | Times Cited: 31
Ultra-short-term probabilistic wind power forecasting with spatial-temporal multi-scale features and K-FSDW based weight
Jinxing Che, Fang Yuan, Dewen Deng, et al.
Applied Energy (2022) Vol. 331, pp. 120479-120479
Closed Access | Times Cited: 28
Multi-step wind speed prediction based on LSSVM combined with ESMD and fractional-order beetle swarm optimization
Yuanchen Gao, Bin Wang, Fei Chen, et al.
Energy Reports (2023) Vol. 9, pp. 6114-6134
Open Access | Times Cited: 20
Forecasting China’s total renewable energy capacity using a novel dynamic fractional order discrete grey model
Lin Xia, Youyang Ren, Yuhong Wang
Expert Systems with Applications (2023) Vol. 239, pp. 122019-122019
Closed Access | Times Cited: 18
Ensemble optimization approach based on hybrid mode decomposition and intelligent technology for wind power prediction system
Yagang Zhang, Hui Wang, Jingchao Wang, et al.
Energy (2024) Vol. 292, pp. 130492-130492
Closed Access | Times Cited: 8
A parallel differential learning ensemble framework based on enhanced feature extraction and anti-information leakage mechanism for ultra-short-term wind speed forecast
Jujie Wang, Yafen Liu, Yaning Li
Applied Energy (2024) Vol. 361, pp. 122909-122909
Closed Access | Times Cited: 8
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
Yunlong Lv, Qin Hu, Hang Xu, et al.
Energy (2024) Vol. 293, pp. 130751-130751
Closed Access | Times Cited: 6
A novel hourly PM2.5 concentration prediction model based on feature selection, training set screening, and mode decomposition-reorganization
Wei Sun, Zhiwei Xu
Sustainable Cities and Society (2021) Vol. 75, pp. 103348-103348
Closed Access | Times Cited: 40
Wind speed interval prediction model based on variational mode decomposition and multi-objective optimization
Jianzhou Wang, Zishu Cheng
Applied Soft Computing (2021) Vol. 113, pp. 107848-107848
Closed Access | Times Cited: 36
WSFNet: An efficient wind speed forecasting model using channel attention-based densely connected convolutional neural network
Hakan Açıkgöz, Ümit Budak, Deniz Korkmaz, et al.
Energy (2021) Vol. 233, pp. 121121-121121
Closed Access | Times Cited: 35
Multivariate SCADA Data Analysis Methods for Real-World Wind Turbine Power Curve Monitoring
Davide Astolfi, Francesco Castellani, Andrea Lombardi, et al.
Energies (2021) Vol. 14, Iss. 4, pp. 1105-1105
Open Access | Times Cited: 33
Wind-speed prediction model based on variational mode decomposition, temporal convolutional network, and sequential triplet loss
Li Huang, Zheyuan Jiang, Ziyi Shi, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 52, pp. 101980-101980
Closed Access | Times Cited: 27
A novel hybrid model for short-term prediction of wind speed
Haize Hu, Yunyi Li, Xiangping Zhang, et al.
Pattern Recognition (2022) Vol. 127, pp. 108623-108623
Closed Access | Times Cited: 27
Wind Power Forecasting Based on LSTM Improved by EMD-PCA-RF
Dongyu Wang, Xiwen Cui, Dongxiao Niu
Sustainability (2022) Vol. 14, Iss. 12, pp. 7307-7307
Open Access | Times Cited: 26
Multi-step-ahead significant wave height prediction using a hybrid model based on an innovative two-layer decomposition framework and LSTM
Fu Yang, Feixiang Ying, Lingling Huang, et al.
Renewable Energy (2022) Vol. 203, pp. 455-472
Closed Access | Times Cited: 26
An enhanced feature extraction based long short-term memory neural network for wind power forecasting via considering the missing data reconstruction
Zheng Xin, Xingran Liu, Hanyuan Zhang, et al.
Energy Reports (2023) Vol. 11, pp. 97-114
Open Access | Times Cited: 14
Short-term wind farm cluster power prediction based on dual feature extraction and quadratic decomposition aggregation
Zhijian Qu, Xinxing Hou, Jian Li, et al.
Energy (2023) Vol. 290, pp. 130155-130155
Closed Access | Times Cited: 13
Ultra-short-term wind speed prediction based on TCN-MCM-EKF
Pengxiang Sun, Juan Wang, Zhenguo Yan
Energy Reports (2024) Vol. 11, pp. 2127-2140
Open Access | Times Cited: 5
Advancements in wind power forecasting: A comprehensive review of artificial intelligence-based approaches
Krishan Kumar, Priti Prabhakar, Avnesh Verma, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 5
Forecasting China’s renewable energy consumption using a novel dynamic fractional-order discrete grey multi-power model
Lin Xia, Youyang Ren, Yuhong Wang, et al.
Renewable Energy (2024) Vol. 233, pp. 121125-121125
Closed Access | Times Cited: 5

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