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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:

Multi-step ahead wind speed prediction based on a two-step decomposition technique and prediction model parameter optimization
He Wang, Min Xiong, Hongfeng Chen, et al.
Energy Reports (2022) Vol. 8, pp. 6086-6100
Open Access | Times Cited: 20

Showing 20 citing articles:

Wind Speed Prediction Using Chicken Swarm Optimization with Deep Learning Model
R. Surendran, Youseef Alotaibi, Ahmad F. Subahi
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3371-3386
Open Access | Times Cited: 19
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: 6
A novel decision support system for enhancing long-term forecast accuracy in virtual power plants using bidirectional long short-term memory networks
Reza Nadimi, Mika Goto
Applied Energy (2025) Vol. 382, pp. 125273-125273
Open Access
A Study of Optimization in Deep Neural Networks for Regression
Chieh-Huang Chen, Jung-Pin Lai, Yu-Ming Chang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3071-3071
Open Access | Times Cited: 13
Short-term wind speed forecasting based on two-stage preprocessing method, sparrow search algorithm and long short-term memory neural network
Xue-Yi Ai, Shijia Li, Haoxuan Xu
Energy Reports (2022) Vol. 8, pp. 14997-15010
Open Access | Times Cited: 21
Multi-branch wind power prediction based on optimized variational mode decomposition
Bangru Xiong, Xinyu Meng, Gang Xiong, et al.
Energy Reports (2022) Vol. 8, pp. 11181-11191
Open Access | Times Cited: 15
The degree of population aging and carbon emissions: Analysis of mediation effect and multi-scenario simulation
Shuyu Li, Shun Jia, Yang Liu, et al.
Journal of Environmental Management (2024) Vol. 367, pp. 121982-121982
Open Access | Times Cited: 2
A wind speed interval prediction method for reducing noise uncertainty
Kun Li, Yayu Liu, Ying Han
Wind Engineering (2024) Vol. 48, Iss. 4, pp. 532-552
Closed Access | Times Cited: 2
Forecasting and Multilevel Early Warning of Wind Speed Using an Adaptive Kernel Estimator and Optimized Gated Recurrent Units
Pengjiao Wang, Qiuliang Long, Hu Zhang, et al.
Mathematics (2024) Vol. 12, Iss. 16, pp. 2581-2581
Open Access | Times Cited: 2
Enhanced machine learning model via twin support vector regression for streamflow time series forecasting of hydropower reservoir
Xinyue Fu, Zhong-kai Feng, Hui Cao, et al.
Energy Reports (2023) Vol. 10, pp. 2623-2639
Open Access | Times Cited: 6
Uncertainty reduction in power forecasting of virtual power plant: from day-ahead to balancing markets
Reza Nadimi, Mika Goto
Renewable Energy (2024), pp. 121875-121875
Open Access | Times Cited: 1
Forecasting model for short-term wind speed using robust local mean decomposition, deep neural networks, intelligent algorithm, and error correction
Jiawen Li, Minghao Liu, Lei Wen
Frontiers in Energy Research (2024) Vol. 11
Open Access
Using Stacking Ensemble Learning to Predict Multi-Step Wind Speed Based on Wavelet Transformation, a Two-Steps Feature Selection Method, and Neural Networks
Faezeh Amirteimoury, Gholamreza Memarzadeh, Farshid Keynia
(2024)
Closed Access
A Stock Price Prediction Model Based on Multi-Step Decomposition
秀 李
Advances in Applied Mathematics (2024) Vol. 13, Iss. 07, pp. 3488-3501
Closed Access
A two-stage deep learning-based hybrid model for daily wind speed forecasting
Shahab S. Band, Rasoul Ameri, Sultan Noman Qasem, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41026-e41026
Open Access
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
The Degree of Population Aging and Carbon Emissions: Analysis of Mediation Effect and Multi-Scenario Simulation
Shuyu Li, Shun Jia, Yang Liu, et al.
(2024)
Closed Access
A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load
Peter I. Udenze, Jiaqi Gong, S. Soltani, et al.
Applied Energy (2024) Vol. 382, pp. 125212-125212
Closed Access
A Demand Management Planning System for a Meat Factory Based on the Predicted Market Price Under Indian Market Scenario
R. R. Lekshmi, C. Bansi
Lecture notes in electrical engineering (2023), pp. 439-450
Closed Access | Times Cited: 1
An attention mechanism based deep nonlinear ensemble paradigm of strengthened feature extraction method for wind power prediction
Jujie Wang, Yafen Liu
Journal of Renewable and Sustainable Energy (2023) Vol. 15, Iss. 6
Closed Access
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