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:

On the Feasibility Guarantees of Deep Reinforcement Learning Solutions for Distribution System Operation
Mohammad Mehdi Hosseini, Masood Parvania
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 2, pp. 954-964
Closed Access | Times Cited: 13

Showing 13 citing articles:

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

Feasibility-guaranteed unsupervised deep learning for real-time energy management in integrated electricity and gas systems
Ahmed Rabee Sayed, Khaled Al Jaafari, Hatem Zein Eldin, et al.
Energy (2025) Vol. 316, pp. 134406-134406
Closed Access | Times Cited: 1

Bayesian Primal-Dual Safe Policy Optimization for Stochastic Dynamic Optimal Power Flow Program: Dissecting from a Probabilistic Perspective
Yujian Ye, Yizhi Wu, Jianxiong Hu, et al.
Lecture notes in electrical engineering (2025), pp. 799-811
Closed Access

Efficient optimal power flow learning: A deep reinforcement learning with physics-driven critic model
Ahmed Rabee Sayed, Khaled Al Jaafari, Xian Zhang, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 167, pp. 110621-110621
Closed Access

Hierarchical Flexibility Offering Strategy for Integrated Hybrid Resources in Real-time Energy Markets
Julian Marx, Beatriz Blanco, Hannah Bollmann
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Open Access | Times Cited: 2

A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch
Shengren Hou, Edgar Mauricio Salazar Duque, Peter Pálenský, et al.
(2024)
Open Access | Times Cited: 1

Chance Constrained MDP Formulation and Bayesian Advantage Policy Optimization for Stochastic Dynamic Optimal Power Flow
Yizhi Wu, Yujian Ye, Jianxiong Hu, et al.
IEEE Transactions on Power Systems (2024) Vol. 39, Iss. 5, pp. 6788-6791
Closed Access | Times Cited: 1

Constrained Reinforcement Learning for Predictive Control in Real-Time Stochastic Dynamic Optimal Power Flow
Tong Wu, Anna Scaglione, Daniel Arnold
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 3, pp. 5077-5090
Open Access | Times Cited: 3

Low-Carbon Dispatch Method for Active Distribution Network Based on Carbon Emission Flow Theory
Jiang Bian, Yang Wang, Zhi‐Min Dang, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5610-5610
Open Access

Real-Time Hierarchical Energy Flexibility Management of Integrated Hybrid Resources
Avishan Bagherinezhad, Mohammad Mehdi Hosseini, Masood Parvania
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 6, pp. 4508-4518
Closed Access | Times Cited: 1

Aggregate Dispatchable Power of Virtual Power Plants Considering Wind and Solar Uncertainty
Jinhua Tian, Zhang Zhong, Genhong Qi, et al.
2021 IEEE Sustainable Power and Energy Conference (iSPEC) (2023), pp. 1-6
Closed Access

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