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:

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: 19

Showing 19 citing articles:

A wind speed forcasting model based on rime optimization based VMD and multi-headed self-attention-LSTM
Wenhui Liu, Yulong Bai, xiaoxin Yue, et al.
Energy (2024) Vol. 294, pp. 130726-130726
Closed Access | Times Cited: 31

Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD
Chu Zhang, Zhengbo Li, Yida Ge, et al.
Energy (2024) Vol. 296, pp. 131173-131173
Closed Access | Times Cited: 20

Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction
Peng Tian, Jinlin Xiong, Kai Sun, et al.
Environmental Research (2024) Vol. 247, pp. 118176-118176
Closed Access | Times Cited: 7

Complex-valued artificial hummingbird algorithm for global optimization and short-term wind speed prediction
Liuyan Feng, Yongquan Zhou, Qifang Luo, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123160-123160
Closed Access | Times Cited: 7

Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy
Wenchuan Wang, H. Ren, Zong Li, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access

Review of AI-Based Wind Prediction within Recent Three Years: 2021–2023
Dongran Song, Xiao Tan, Qian Huang, et al.
Energies (2024) Vol. 17, Iss. 6, pp. 1270-1270
Open Access | Times Cited: 4

A Novel Coupled Model for Monthly Rainfall Prediction Based on ESMD-EWT-SVD-LSTM
Ziyu Li, Xianqi Zhang
Water Resources Management (2024) Vol. 38, Iss. 9, pp. 3297-3312
Closed Access | Times Cited: 2

Innovative hybrid NARX-RNN model for predicting wind speed to harness wind power in Pakistan
Abdul Wahab Khan, Jiandong Duan, Fahad Nawaz, et al.
Energy Reports (2024) Vol. 12, pp. 2373-2387
Open Access | Times Cited: 2

Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
Measurement (2024) Vol. 244, pp. 116500-116500
Closed Access | Times Cited: 1

Multivariate sequence prediction for graph convolutional networks based on ESMD and transfer entropy
Xin Li, Guoqiang Tang
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 83493-83511
Closed Access

Compounding effects of human activities and climatic changes on the river water temperature evolution mechanism for ecological effects
Ning He, Wenxian Guo, Xuyang Jiao, et al.
River Research and Applications (2024) Vol. 40, Iss. 8, pp. 1541-1559
Closed Access

An adaptive financial trading strategy based on proximal policy optimization and financial signal representation
Lin Wang, Xuerui Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109365-109365
Closed Access

Multistep Wind Speed Prediction Based on the Fractional‐Order Longicorn Swarm Algorithm and the Two‐Stage Modal Decomposition Strategy
Shuren Pu, Yuanchen Gao, Sun Yi-feng, et al.
Journal of Electrical and Computer Engineering (2024) Vol. 2024, Iss. 1
Open Access

A modular multi-step forecasting method for offshore wind power clusters
Lei Fang, Bin He, Shengquan Yu
Applied Energy (2024) Vol. 380, pp. 125060-125060
Closed Access

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