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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:

Machine learning driven smart electric power systems: Current trends and new perspectives
Muhammad Sohail Ibrahim, Wei Dong, Qiang Yang
Applied Energy (2020) Vol. 272, pp. 115237-115237
Closed Access | Times Cited: 297

Showing 1-25 of 297 citing articles:

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm
Tanveer Ahmad, Rafał Madoński, Dongdong Zhang, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 160, pp. 112128-112128
Closed Access | Times Cited: 331
Artificial Intelligence Techniques in Smart Grid: A Survey
Olufemi A. Omitaomu, Haoran Niu
Smart Cities (2021) Vol. 4, Iss. 2, pp. 548-568
Open Access | Times Cited: 224
Review on deep learning applications in frequency analysis and control of modern power system
Yi Zhang, Xiaohan Shi, Hengxu Zhang, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 136, pp. 107744-107744
Closed Access | Times Cited: 212
Machine learning on sustainable energy: A review and outlook on renewable energy systems, catalysis, smart grid and energy storage
Daniel Rangel-Martinez, K.D.P. Nigam, Luis Ricardez‐Sandoval
Process Safety and Environmental Protection (2021) Vol. 174, pp. 414-441
Closed Access | Times Cited: 172
Faults in smart grid systems: Monitoring, detection and classification
Angel Esteban Labrador Rivas, Taufik Abrão
Electric Power Systems Research (2020) Vol. 189, pp. 106602-106602
Closed Access | Times Cited: 161
Integrating Artificial Intelligence Internet of Things and 5G for Next-Generation Smartgrid: A Survey of Trends Challenges and Prospect
Ebenezer Esenogho, Karim Djouani, Anish Kurien
IEEE Access (2022) Vol. 10, pp. 4794-4831
Open Access | Times Cited: 127
A Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook
Arman Goudarzi, Farzad Ghayoor, Muhammad Waseem, et al.
Energies (2022) Vol. 15, Iss. 19, pp. 6984-6984
Open Access | Times Cited: 115
Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Sara Barja-Martinez, Mònica Aragüés‐Peñalba, Íngrid Munné‐Collado, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 150, pp. 111459-111459
Open Access | Times Cited: 113
Machine Learning for Risk and Resilience Assessment in Structural Engineering: Progress and Future Trends
Xiaowei Wang, Ram K. Mazumder, Babak Salarieh, et al.
Journal of Structural Engineering (2022) Vol. 148, Iss. 8
Closed Access | Times Cited: 102
Application of machine learning methods in fault detection and classification of power transmission lines: a survey
Fatemeh Mohammadi Shakiba, S. Mohsen Azizi, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 5799-5836
Closed Access | Times Cited: 77
Emerging information and communication technologies for smart energy systems and renewable transition
Ning Zhao, Haoran Zhang, Xiaohu Yang, et al.
Advances in Applied Energy (2023) Vol. 9, pp. 100125-100125
Open Access | Times Cited: 72
Control and estimation techniques applied to smart microgrids: A review
Nsilulu T. Mbungu, Ali Ahmed Adam Ismail, Mohammad Al‐Shabi, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 179, pp. 113251-113251
Open Access | Times Cited: 72
Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 57
Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead
Saima Akhtar, Sulman Shahzad, Asad Zaheer, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4060-4060
Open Access | Times Cited: 49
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: 42
Machine Learning-Integrated Sustainable Engineering and Energy Systems
M. Sarat Chandra Prasad, M. Dhanalakshmi, M. Mohan, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2024), pp. 74-98
Closed Access | Times Cited: 18
Comprehensive study of the artificial intelligence applied in renewable energy
Aseel Bennagi, Obaida AlHousrya, Daniel Tudor Cotfas, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101446-101446
Open Access | Times Cited: 15
Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook
Niyi B. Ishola, Emmanuel I. Epelle, Eriola Betiku
Energy Conversion and Management X (2024) Vol. 23, pp. 100669-100669
Open Access | Times Cited: 15
Cyber-physical power systems: A comprehensive review about technologies drivers, standards, and future perspectives
Manuel S. Alvarez‐Alvarado, Christhian Apolo-Tinoco, Maria J. Ramirez-Prado, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109149-109149
Closed Access | Times Cited: 14
Smart grid encounters edge computing: opportunities and applications
Cheng Feng, Yi Wang, Qixin Chen, et al.
Advances in Applied Energy (2020) Vol. 1, pp. 100006-100006
Open Access | Times Cited: 116
A data-driven interval forecasting model for building energy prediction using attention-based LSTM and fuzzy information granulation
Yue Li, Zheming Tong, Shuiguang Tong, et al.
Sustainable Cities and Society (2021) Vol. 76, pp. 103481-103481
Closed Access | Times Cited: 99
Data-driven scenario generation of renewable energy production based on controllable generative adversarial networks with interpretability
Wei Dong, Xianqing Chen, Qiang Yang
Applied Energy (2021) Vol. 308, pp. 118387-118387
Closed Access | Times Cited: 95
A comprehensive review: Machine learning and its application in integrated power system
Aanand Kumbhar, Pravin G. Dhawale, Shobha Kumbhar, et al.
Energy Reports (2021) Vol. 7, pp. 5467-5474
Open Access | Times Cited: 74
Operational planning steps in smart electric power delivery system
M. Jayachandran, Ch. Rami Reddy, Sanjeevikumar Padmanaban, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 73
Advances of machine learning in multi-energy district communities‒ mechanisms, applications and perspectives
Yuekuan Zhou
Energy and AI (2022) Vol. 10, pp. 100187-100187
Open Access | Times Cited: 61
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