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 applications in cascading failure analysis in power systems: A review
Naeem Md Sami, Mia Naeini
Electric Power Systems Research (2024) Vol. 232, pp. 110415-110415
Open Access | Times Cited: 8
Naeem Md Sami, Mia Naeini
Electric Power Systems Research (2024) Vol. 232, pp. 110415-110415
Open Access | Times Cited: 8
Showing 8 citing articles:
A detailed review of power system resilience enhancement pillars
Dillip Kumar Mishra, Mohsen Eskandari, Mohammad Hossein Abbasi, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110223-110223
Closed Access | Times Cited: 15
Dillip Kumar Mishra, Mohsen Eskandari, Mohammad Hossein Abbasi, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110223-110223
Closed Access | Times Cited: 15
Enhancing voltage stability and load shedding optimization through a fusion of gravitational search algorithm and particle swarm optimization with deep learning
Masoud Ahmadipour, Zaipatimah Ali, Hussein Mohammed Ridha
Soft Computing (2025)
Closed Access
Masoud Ahmadipour, Zaipatimah Ali, Hussein Mohammed Ridha
Soft Computing (2025)
Closed Access
Critical component analysis of cyber-physical power systems in cascading failures using graph convolutional networks: An energy-based approach
Sajedeh Soleimani, Ahmad Afshar, Hajar Atrianfar
Sustainable Energy Grids and Networks (2025), pp. 101653-101653
Closed Access
Sajedeh Soleimani, Ahmad Afshar, Hajar Atrianfar
Sustainable Energy Grids and Networks (2025), pp. 101653-101653
Closed Access
Reinforcement Learning Model-Based and Model-Free Paradigms for Optimal Control Problems in Power Systems: Comprehensive Review and Future Directions
Elinor Ginzburg-Ganz, Itay Segev, Alexander Balabanov, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5307-5307
Open Access | Times Cited: 1
Elinor Ginzburg-Ganz, Itay Segev, Alexander Balabanov, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5307-5307
Open Access | Times Cited: 1
Review of the opportunities and challenges to accelerate mass‐scale application of smart grids with large‐language models
Heng Shi, Lurui Fang, Xiaoyang Chen, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 1
Heng Shi, Lurui Fang, Xiaoyang Chen, et al.
IET Smart Grid (2024)
Open Access | Times Cited: 1
Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access
A Stacked Machine Learning Framework for Predicting Electrical Power Grid Stability
Uma Rani, Karthika RN
Research Square (Research Square) (2024)
Closed Access
Uma Rani, Karthika RN
Research Square (Research Square) (2024)
Closed Access
Impact of False Data Injection Attacks on Machine Learning-Based Cascading Failure Predictions
Naeem Md Sami, Mia Naeini
(2023), pp. 1-3
Closed Access | Times Cited: 1
Naeem Md Sami, Mia Naeini
(2023), pp. 1-3
Closed Access | Times Cited: 1
