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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:

An innovative method-based CEEMDAN–IGWO–GRU hybrid algorithm for short-term load forecasting
Zixing Chen, Tao Jin, Xidong Zheng, et al.
Electrical Engineering (2022) Vol. 104, Iss. 5, pp. 3137-3156
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Low-carbon economic dispatch of integrated energy system containing electric hydrogen production based on VMD-GRU short-term wind power prediction
Haipeng Chen, Hao Wu, Tianyang Kan, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 154, pp. 109420-109420
Open Access | Times Cited: 128
Recent Advances in Grey Wolf Optimizer, its Versions and Applications: Review
Sharif Naser Makhadmeh, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
IEEE Access (2023) Vol. 12, pp. 22991-23028
Open Access | Times Cited: 53
An adaptive weighted stacking ensemble framework for photovoltaic power generation forecasting with joint optimization of features and hyperparameters
Sue Zheng, Danyun Li, Yidong Li, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110075-110075
Closed Access | Times Cited: 2
Short-term performance degradation prediction of a commercial vehicle fuel cell system based on CNN and LSTM hybrid neural network
Bei Sun, Xudong Liu, Jiayuan Wang, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 23, pp. 8613-8628
Closed Access | Times Cited: 59
Prediction of fluctuation loads based on GARCH family-CatBoost-CNNLSTM
Huibin Zeng, Bilin Shao, Hongbin Dai, et al.
Energy (2022) Vol. 263, pp. 126125-126125
Closed Access | Times Cited: 45
Deep learning-driven hybrid model for short-term load forecasting and smart grid information management
Xinyu Wen, Jiacheng Liao, Qingyi Niu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
An Innovative Cloud-Fog-Based Smart Grid Scheme for Efficient Resource Utilization
Fahad Alsokhiry, Andres Annuk, Mohamed A. Mohamed, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1752-1752
Open Access | Times Cited: 14
Machine learning-based ensemble framework for event identification and power quality disturbance analysis in PV-EV distribution networks
Yulong Liu, Tao Jin, Mohamed A. Mohamed
Electrical Engineering (2025)
Closed Access
Case Study of Backup Application with Energy Storage in Microgrids
Rafaela Nascimento, Felipe O. Ramos, Aline L. Pinheiro, et al.
Energies (2022) Vol. 15, Iss. 24, pp. 9514-9514
Open Access | Times Cited: 17
Enhancing and Optimising Solar Power Forecasting in Dhar District of India using Machine Learning
Prabhakar Sharma, Ritesh Kumar Mishra, Parveen Bhola, et al.
Smart Grids and Sustainable Energy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 3
ARX-GARCH Probabilistic Price Forecasts for Diversification of Trade in Electricity Markets—Variance Stabilizing Transformation and Financial Risk-Minimizing Portfolio Allocation
Joanna Janczura, Andrzej Puć
Energies (2023) Vol. 16, Iss. 2, pp. 807-807
Open Access | Times Cited: 7
A novel ensemble deep reinforcement learning model for short‐term load forecasting based on Q‐learning dynamic model selection
Xin He, Wenlu Zhao, Licheng Zhang, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 7
Open Access | Times Cited: 1
An integrated binary metaheuristic approach in dynamic unit commitment and economic emission dispatch for hybrid energy systems
S Syama, J. Ramprabhakar, R. Anand, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Short-Term Load Forecasting Based on Outlier Correction, Decomposition, and Ensemble Reinforcement Learning
Jiakang Wang, Hui Liu, Guangji Zheng, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4401-4401
Open Access | Times Cited: 4
Hybrid load prediction model of 5G base station based on time series decomposition and GRU network with parameter optimization
Guoxiang Hua, Yan Sun, Weiwei Li
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 8, pp. 1548-1558
Open Access | Times Cited: 1
Preventing maloperation scheme for saturation protection of converter transformers based on waveform prediction of magnetizing inrush current
Yaming Ge, Junchao Zheng, Xuchao Ren, et al.
Electrical Engineering (2024)
Closed Access | Times Cited: 1
Research on the identification method of safety wearing of electric power workers based on deep learning
Zetao Chen, Cangui Ma, Jie Ren, et al.
Frontiers in Energy Research (2023) Vol. 10
Open Access | Times Cited: 3
Short-Term Power Load Forecasting Based on Feature Filtering and Error Compensation under Imbalanced Samples
Zheng Wan, Hui Li
Energies (2023) Vol. 16, Iss. 10, pp. 4130-4130
Open Access | Times Cited: 3
Research on the Gearbox Fault Diagnosis Method Based on Multi-Model Feature Fusion
Fengyun Xie, Hui Liu, Jiankun Dong, et al.
Machines (2022) Vol. 10, Iss. 12, pp. 1186-1186
Open Access | Times Cited: 4
A hybrid short-term load forecasting method using CEEMDAN-RCMSE and improved BiLSTM error correction
Yi Ning, Meiyu Liu, Xifeng Guo, et al.
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-18
Closed Access
A hybrid neural network based solar PV power classification with time series data for bend, Oregon
Sasmita Subhadarsinee Choudhury, P.K. Dash
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2753-2770
Closed Access
Flexibility Potential Assessment of Fuel-Cell Hybrid Electric Vehicles Clusters Considering Owners' Willingness to Charge
Qiujie Wang, Guanhui Liu, Hong Tan, et al.
Research Square (Research Square) (2024)
Open Access
Hyperparameter Tuning of Load-Forecasting Models Using Metaheuristic Optimization Algorithms—A Systematic Review
Umme Mumtahina, Sanath Alahakoon, Peter Wolfs
Mathematics (2024) Vol. 12, Iss. 21, pp. 3353-3353
Open Access
A mixed simulation methodology for long-term wind power with 4D fluctuation features clustering method and asymmetric fluctuations
Yanru Ding, Huichun Peng, Feng Xiao
Journal of Renewable and Sustainable Energy (2022) Vol. 14, Iss. 4
Closed Access | Times Cited: 1
Comprehensive Review of Machine Learning-Based Methods for Electricity Load Forecasting
Zixu Zhao
E3S Web of Conferences (2023) Vol. 394, pp. 01002-01002
Open Access
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