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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:

Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms
Amirhossein Ahmadi, Mojtaba Nabipour, Behnam Mohammadi‐Ivatloo, et al.
IEEE Access (2020) Vol. 8, pp. 151511-151522
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
Shafiul Hasan Rafi, Nahid‐Al Masood, Shohana Rahman Deeba, et al.
IEEE Access (2021) Vol. 9, pp. 32436-32448
Open Access | Times Cited: 311
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
Tobi Michael Alabi, Emmanuel Imuetinyan Aghimien, Favour David Agbajor, et al.
Renewable Energy (2022) Vol. 194, pp. 822-849
Closed Access | Times Cited: 129
Microgrid Digital Twins: Concepts, Applications, and Future Trends
Najmeh Bazmohammadi, Ahmad Madary, Juan C. Vásquez, et al.
IEEE Access (2021) Vol. 10, pp. 2284-2302
Open Access | Times Cited: 117
Scope of machine learning in materials research—A review
Md Hosne Mobarak, Mariam Akter Mimona, Md Aminul Islam, et al.
Applied Surface Science Advances (2023) Vol. 18, pp. 100523-100523
Open Access | Times Cited: 61
A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector
Vladimir Franki, Darin Majnarić, Alfredo Višković
Energies (2023) Vol. 16, Iss. 3, pp. 1077-1077
Open Access | Times Cited: 52
Deep learning hyperparameter optimization: Application to electricity and heat demand prediction for buildings
Azita Morteza, Amir Abbas Yahyaeian, Marzieh Mirzaeibonehkhater, et al.
Energy and Buildings (2023) Vol. 289, pp. 113036-113036
Closed Access | Times Cited: 49
Fault detection diagnostic for HVAC systems via deep learning algorithms
Saman Taheri, Amirhossein Ahmadi, Behnam Mohammadi‐Ivatloo, et al.
Energy and Buildings (2021) Vol. 250, pp. 111275-111275
Closed Access | Times Cited: 87
A Cyber-Secure generalized supermodel for wind power forecasting based on deep federated learning and image processing
Hamed Moayyed, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
Energy Conversion and Management (2022) Vol. 267, pp. 115852-115852
Closed Access | Times Cited: 44
A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms
Soyoung Park, Solyoung Jung, Jaegul Lee, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1132-1132
Open Access | Times Cited: 25
A Review for Green Energy Machine Learning and AI Services
Yukta Mehta, Rui Xu, Benjamin Lim, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5718-5718
Open Access | Times Cited: 23
Short-term wind speed forecasting using an optimized three-phase convolutional neural network fused with bidirectional long short-term memory network model
Lionel Joseph, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2024) Vol. 359, pp. 122624-122624
Open Access | Times Cited: 15
Uncertainty-output virtual power plant participates in multi-electricity market considering the improved Shapley value distribution method
Yi Shang, Xiaolan Li, Yan Li, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 165, pp. 110462-110462
Closed Access | Times Cited: 1
Performance Analysis of Wind-Hydrogen Energy Storage System Using Composite Objective Optimization Proactive Scheduling Strategy Coordinated with Wind Power Prediction
Xinyi Liu, Zitao Wang, Shuai Xu, et al.
Energy (2025), pp. 135416-135416
Closed Access | Times Cited: 1
Long-term planning of integrated local energy systems using deep learning algorithms
Saman Taheri, Mohammad Jooshaki, Moein Moeini‐Aghtaie
International Journal of Electrical Power & Energy Systems (2021) Vol. 129, pp. 106855-106855
Closed Access | Times Cited: 55
Robust building energy consumption forecasting using an online learning approach with R ranger
Jihoon Moon, Sungwoo Park, Seungmin Rho, et al.
Journal of Building Engineering (2021) Vol. 47, pp. 103851-103851
Closed Access | Times Cited: 44
Data Mining Applications to Fault Diagnosis in Power Electronic Systems: A Systematic Review
Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, Kazem Pourhossein, et al.
IEEE Transactions on Power Electronics (2021) Vol. 37, Iss. 5, pp. 6026-6050
Open Access | Times Cited: 41
A New False Data Injection Attack Detection Model for Cyberattack Resilient Energy Forecasting
Amirhossein Ahmadi, Mojtaba Nabipour, Saman Taheri, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 1, pp. 371-381
Closed Access | Times Cited: 36
A dual-stage attention-based Bi-LSTM network for multivariate time series prediction
Qi Cheng, Yixin Chen, Yuteng Xiao, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 14, pp. 16214-16235
Closed Access | Times Cited: 34
Hybrid deep learning and quantum-inspired neural network for day-ahead spatiotemporal wind speed forecasting
Ying‐Yi Hong, Christian Lian Paulo P. Rioflorido, Weina Zhang
Expert Systems with Applications (2023) Vol. 241, pp. 122645-122645
Closed Access | Times Cited: 21
A Comprehensive Review of Digital Twin Technology for Grid-Connected Microgrid Systems: State of the Art, Potential and Challenges Faced
Namita Kumari, Ankush Sharma, Binh Tran, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5525-5525
Open Access | Times Cited: 20
Ensemble Learning-Based Dynamic Line Rating Forecasting Under Cyberattacks
Amirhossein Ahmadi, Mojtaba Nabipour, Behnam Mohammadi‐Ivatloo, et al.
IEEE Transactions on Power Delivery (2021) Vol. 37, Iss. 1, pp. 230-238
Closed Access | Times Cited: 38
Effect of the Digital Transformation of Power System on Renewable Energy Utilization in China
Yunhao Zhao, Shiwei Xia, Jian Zhang, et al.
IEEE Access (2021) Vol. 9, pp. 96201-96209
Open Access | Times Cited: 38
Pandemic-Aware Day-Ahead Demand Forecasting Using Ensemble Learning
Ali Arjomandi‐Nezhad, Amirhossein Ahmadi, Saman Taheri, et al.
IEEE Access (2022) Vol. 10, pp. 7098-7106
Open Access | Times Cited: 27
Advanced Ensemble Methods Using Machine Learning and Deep Learning for One-Day-Ahead Forecasts of Electric Energy Production in Wind Farms
P. Piotrowski, D. Baczyński, Marcin Kopyt, et al.
Energies (2022) Vol. 15, Iss. 4, pp. 1252-1252
Open Access | Times Cited: 27
Effective artificial neural network-based wind power generation and load demand forecasting for optimum energy management
Jannet Jamii, Majdi Mansouri, Mohamed Trabelsi, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 26
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