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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:

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges
Xin Chen, Guannan Qu, Yujie Tang, et al.
IEEE Transactions on Smart Grid (2022) Vol. 13, Iss. 4, pp. 2935-2958
Open Access | Times Cited: 202

Showing 1-25 of 202 citing articles:

Reinforcement learning algorithms: A brief survey
Ashish Kumar Shakya, G. N. Pillai, Sohom Chakrabarty
Expert Systems with Applications (2023) Vol. 231, pp. 120495-120495
Closed Access | Times Cited: 153
Reinforcement learning for electric vehicle applications in power systems:A critical review
Dawei Qiu, Yi Wang, Weiqi Hua, et al.
Renewable and Sustainable Energy Reviews (2022) Vol. 173, pp. 113052-113052
Open Access | Times Cited: 72
Federated Reinforcement Learning for Decentralized Voltage Control in Distribution Networks
Haotian Liu, Wenchuan Wu
IEEE Transactions on Smart Grid (2022) Vol. 13, Iss. 5, pp. 3840-3843
Closed Access | Times Cited: 49
Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects
Yuanzheng Li, Chaofan Yu, Mohammad Shahidehpour, et al.
Proceedings of the IEEE (2023) Vol. 111, Iss. 9, pp. 1055-1096
Closed Access | Times Cited: 38
Reinforcement Learning-Based Intelligent Control Strategies for Optimal Power Management in Advanced Power Distribution Systems: A Survey
Mudhafar Al-Saadi, Maher Al‐Greer, Michael Short
Energies (2023) Vol. 16, Iss. 4, pp. 1608-1608
Open Access | Times Cited: 33
Secure energy management of multi-energy microgrid: A physical-informed safe reinforcement learning approach
Yi Wang, Dawei Qiu, Mingyang Sun, et al.
Applied Energy (2023) Vol. 335, pp. 120759-120759
Open Access | Times Cited: 32
Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants
Daniel E. Ochoa, Felipe Galarza-Jimenez, Felipe Wilches‐Bernal, et al.
IEEE Access (2023) Vol. 11, pp. 20560-20581
Open Access | Times Cited: 23
Artificial intelligence in metabolomics: a current review
Jinhua Chi, Jingmin Shu, Ming Li, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 178, pp. 117852-117852
Closed Access | Times Cited: 13
A novel reinforcement learning policy optimization based adaptive VSG control technique for improved frequency stabilization in AC microgrids
Zineb Benhmidouch, Saad Moufid, Aissam Ait-Omar, et al.
Electric Power Systems Research (2024) Vol. 230, pp. 110269-110269
Closed Access | Times Cited: 12
Application and progress of artificial intelligence technology in the field of distribution network voltage Control：A review
Xiao Zhang, Zhi Wu, Qirun Sun, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 192, pp. 114282-114282
Closed Access | Times Cited: 10
Multi-agent hierarchical reinforcement learning for energy management
Imen Jendoubi, François Bouffard
Applied Energy (2022) Vol. 332, pp. 120500-120500
Closed Access | Times Cited: 32
Fusion of Microgrid Control With Model-Free Reinforcement Learning: Review and Vision
Buxin She, Fangxing Li, Hantao Cui, et al.
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 4, pp. 3232-3245
Open Access | Times Cited: 27
Multi-Task Reinforcement Learning for Distribution System Voltage Control With Topology Changes
Yansong Pei, Junbo Zhao, Yiyun Yao, et al.
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 3, pp. 2481-2484
Open Access | Times Cited: 20
Voltage control of DC–DC converters through direct control of power switches using reinforcement learning
Omid Zandi, Javad Poshtan
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105833-105833
Closed Access | Times Cited: 19
Voltage regulation in distribution grids: A survey
Priyank Srivastava, Rabab Haider, Vineet Jagadeesan Nair, et al.
Annual Reviews in Control (2023) Vol. 55, pp. 165-181
Open Access | Times Cited: 19
On data-driven modeling and control in modern power grids stability: Survey and perspective
Xun Gong, Xiaozhe Wang, Bo Cao
Applied Energy (2023) Vol. 350, pp. 121740-121740
Open Access | Times Cited: 18
Destabilizing Attack and Robust Defense for Inverter-Based Microgrids by Adversarial Deep Reinforcement Learning
Yu Wang, Bikash C. Pal
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 6, pp. 4839-4850
Open Access | Times Cited: 16
Virtual Power Plants for Grid Resilience: A Concise Overview of Research and Applications
Yijing Xie, Yichen Zhang, Wei‐Jen Lee, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 2, pp. 329-343
Closed Access | Times Cited: 6
Advancements in data-driven voltage control in active distribution networks: A Comprehensive review
Sobhy M. Abdelkader, Sammy Kinga, Emmanuel Ebinyu, et al.
Results in Engineering (2024) Vol. 23, pp. 102741-102741
Open Access | Times Cited: 6
Enhancing sensitivity and selectivity in gas sensors: A novel approach using metal oxide-conducting polymer composites
A. Al Ojeery, Maamon A. Farea
Inorganic Chemistry Communications (2024) Vol. 172, pp. 113726-113726
Closed Access | Times Cited: 6
Reinforcement learning for distributed transient frequency control with stability and safety guarantees
Zhenyi Yuan, Changhong Zhao, Jorge Cortés
Systems & Control Letters (2024) Vol. 185, pp. 105753-105753
Open Access | Times Cited: 5
Two-Step Diffusion Policy Deep Reinforcement Learning Method for Low-Carbon Multi-Energy Microgrid Energy Management
Yiwen Zhang, Zhen Mei, Xiaoqian Wu, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4576-4588
Closed Access | Times Cited: 5
Regional-privacy-preserving operation of networked microgrids: Edge-cloud cooperative learning with differentiated policies
Qinqin Xia, Yu Wang, Yao Zou, et al.
Applied Energy (2024) Vol. 370, pp. 123611-123611
Closed Access | Times Cited: 5
Generative adversarial networks based adaptive modulation and coding for next-generation 5G communication systems
Manikandan Arunachalam, Rakesh Thoppaen Suresh Babu, Sumitra Ganesh, et al.
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
A hybrid curriculum learning and tree search approach for network topology control
G.J. Meppelink, Ali Rajaei, Jochen Cremer
Electric Power Systems Research (2025) Vol. 242, pp. 111455-111455
Open Access
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