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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:

Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Mehdi Neshat, Meysam Majidi Nezhad, Ehsan Abbasnejad, et al.
Energy (2021) Vol. 229, pp. 120617-120617
Open Access | Times Cited: 98

Showing 1-25 of 98 citing articles:

COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
Mohamad Abou Houran, Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, et al.
Applied Energy (2023) Vol. 349, pp. 121638-121638
Closed Access | Times Cited: 182
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Binrong Wu, Lin Wang, Yu‐Rong Zeng
Energy (2022) Vol. 252, pp. 123990-123990
Closed Access | Times Cited: 151
HBO-LSTM: Optimized long short term memory with heap-based optimizer for wind power forecasting
Ahmed A. Ewees, Mohammed A. A. Al‐qaness, Laith Abualigah, et al.
Energy Conversion and Management (2022) Vol. 268, pp. 116022-116022
Closed Access | Times Cited: 116
An adaptive hierarchical decomposition-based method for multi-step cutterhead torque forecast of shield machine
Chengjin Qin, Gang Shi, Jianfeng Tao, et al.
Mechanical Systems and Signal Processing (2022) Vol. 175, pp. 109148-109148
Closed Access | Times Cited: 75
K-Means and Alternative Clustering Methods in Modern Power Systems
Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo, et al.
IEEE Access (2023) Vol. 11, pp. 119596-119633
Open Access | Times Cited: 51
A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 26
Quaternion convolutional long short-term memory neural model with an adaptive decomposition method for wind speed forecasting: North aegean islands case studies
Mehdi Neshat, Meysam Majidi Nezhad, Seyedali Mirjalili, et al.
Energy Conversion and Management (2022) Vol. 259, pp. 115590-115590
Closed Access | Times Cited: 53
Adaptive ML-based technique for renewable energy system power forecasting in hybrid PV-Wind farms power conversion systems
Muhammad Hamza Zafar, Noman Mujeeb Khan, Majad Mansoor, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115564-115564
Open Access | Times Cited: 49
Chaotic Time Series Forecasting Approaches Using Machine Learning Techniques: A Review
Bhukya Ramadevi, Kishore Bingi
Symmetry (2022) Vol. 14, Iss. 5, pp. 955-955
Open Access | Times Cited: 46
An integrated framework of gated recurrent unit based on improved sine cosine algorithm for photovoltaic power forecasting
Huixin Ma, Chu Zhang, Peng Tian, et al.
Energy (2022) Vol. 256, pp. 124650-124650
Closed Access | Times Cited: 42
Paving the way for the Paris Agreement: Contributions of SDEWES science
Zvonimir Guzović, Neven Duić, Antonio Piacentino, et al.
Energy (2022) Vol. 263, pp. 125617-125617
Open Access | Times Cited: 41
Wave power forecasting using an effective decomposition-based convolutional Bi-directional model with equilibrium Nelder-Mead optimiser
Mehdi Neshat, Meysam Majidi Nezhad, Nataliia Y. Sergiienko, et al.
Energy (2022) Vol. 256, pp. 124623-124623
Open Access | Times Cited: 39
Applicability analysis of transformer to wind speed forecasting by a novel deep learning framework with multiple atmospheric variables
Wenjun Jiang, Bo Liu, Yang Liang, et al.
Applied Energy (2023) Vol. 353, pp. 122155-122155
Closed Access | Times Cited: 37
QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain
Ryan Wen Liu, Kunlin Hu, Maohan Liang, et al.
Applied Ocean Research (2023) Vol. 136, pp. 103592-103592
Closed Access | Times Cited: 34
Adaptive meta-learning extreme learning machine with golden eagle optimization and logistic map for forecasting the incomplete data of solar irradiance
Sarunyoo Boriratrit, Pradit Fuangfoo, Chitchai Srithapon, et al.
Energy and AI (2023) Vol. 13, pp. 100243-100243
Open Access | Times Cited: 23
An attention-based multi-input LSTM with sliding window-based two-stage decomposition for wind speed forecasting
Dongchuan Yang, Mingzhu Li, Ju’e Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124057-124057
Closed Access | Times Cited: 8
Accelerating mitigation of climate change with sustainable development of energy, water and environment systems
Şiir Kılkış, Goran Krajačić, Neven Duić, et al.
Energy Conversion and Management (2021) Vol. 245, pp. 114606-114606
Closed Access | Times Cited: 50
A review of ultra-short-term forecasting of wind power based on data decomposition-forecasting technology combination model
Yulong Chen, Xue Hu, Lixin Zhang
Energy Reports (2022) Vol. 8, pp. 14200-14219
Open Access | Times Cited: 31
A boosted chimp optimizer for numerical and engineering design optimization challenges
Ch. Leela Kumari, Vikram Kumar Kamboj, S. K. Bath, et al.
Engineering With Computers (2022) Vol. 39, Iss. 4, pp. 2463-2514
Open Access | Times Cited: 29
Powerformer: A temporal-based transformer model for wind power forecasting
Site Mo, Haoxin Wang, Bixiong Li, et al.
Energy Reports (2023) Vol. 11, pp. 736-744
Open Access | Times Cited: 21
Calibration method for sensor drifting bias in data center cooling system using Bayesian Inference coupling with Autoencoder
Yaoyue Tian, Jiaqiang Wang, Zhaohui Qi, et al.
Journal of Building Engineering (2023) Vol. 67, pp. 105961-105961
Closed Access | Times Cited: 17
Development and trending of deep learning methods for wind power predictions
Hong Liu, Zijun Zhang
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 6
Hybrid forecasting models for wind-PV systems in diverse geographical locations: Performance and power potential analysis
Majad Mansoor, Adeel Feroz Mirza, Muhammad Usman, et al.
Energy Conversion and Management (2023) Vol. 287, pp. 117080-117080
Closed Access | Times Cited: 14
Interpretable feature-temporal transformer for short-term wind power forecasting with multivariate time series
Lei Liu, Xinyu Wang, Dong Xue, et al.
Applied Energy (2024) Vol. 374, pp. 124035-124035
Closed Access | Times Cited: 5
A Centralized Power Prediction Method for Large-scale Wind Power Clusters Based on Dynamic Graph Neural Network
Mao Yang, Da Wang, Wei Zhang, et al.
Energy (2024) Vol. 310, pp. 133210-133210
Closed Access | Times Cited: 5
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