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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:

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

Showing 20 citing articles:

Networked Multiagent-Based Safe Reinforcement Learning for Low-Carbon Demand Management in Distribution Networks
Jichen Zhang, Linwei Sang, Yinliang Xu, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1528-1545
Open Access | Times Cited: 6
Real-time Operation Optimization in Active Distribution Networks Based on Multi-agent Deep Reinforcement Learning
Jie Xu, Hongjun Gao, Renjun Wang, et al.
Journal of Modern Power Systems and Clean Energy (2024) Vol. 12, Iss. 3, pp. 886-899
Open 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
Adaptive power flow analysis for power system operation based on graph deep learning
Xiao Hu, Jinduo Yang, Yang Gao, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 161, pp. 110166-110166
Open Access | Times Cited: 4
Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods
Yue Leon Guo, Yu Song, Zhongping Lai, et al.
Energies (2025) Vol. 18, Iss. 2, pp. 308-308
Open Access
Stochastic dynamic power dispatch with high generalization and few-shot adaption via contextual meta graph reinforcement learning
Zhanhong Huang, Changyuan Yu, Zhenning Pan, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 162, pp. 110272-110272
Open Access | Times Cited: 3
Two-Critic Deep Reinforcement Learning for Inverter-Based Volt-Var Control in Active Distribution Networks
Qiong Liu, Ye Guo, Lirong Deng, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 15, Iss. 3, pp. 1768-1781
Closed Access | Times Cited: 2
Data-model hybrid-driven adaptive voltage control for active distribution networks
Chenhai Li, Jinli Zhao, Haoran Ji, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141999-141999
Closed Access | Times Cited: 2
Data-Driven Optimal Voltage Performance Index Tracking in Active Distribution Networks
David S. Pacheco-Cherrez, Daniel Guillén, Jonathan C. Mayo‐Maldonado, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4804-4818
Closed Access | Times Cited: 2
A Distributed Deep Reinforcement Learning Approach for Reactive Power Optimization of Distribution Networks
Jinlin Liao, Lin Jia
IEEE Access (2024) Vol. 12, pp. 113898-113909
Open Access | Times Cited: 2
Enhancing Music Generation With a Semantic-Based Sequence-to-Music Transformer Framework
Yang Xu
International Journal on Semantic Web and Information Systems (2024) Vol. 20, Iss. 1, pp. 1-19
Open Access | Times Cited: 1
Multiagent Soft Actor–Critic Learning for Distributed ESS Enabled Robust Voltage Regulation of Active Distribution Grids
Yongdong Chen, Youbo Liu, Hang Yin, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11069-11080
Closed Access | Times Cited: 1
Leveraging AI for Enhanced Power Systems Control: An Introductory Study of Model-Free DRL Approaches
Yi Zhou, Liangcai Zhou, Zhehan Yi, et al.
IEEE Access (2024) Vol. 12, pp. 98189-98206
Open Access | Times Cited: 1
Visibility-enhanced model-free deep reinforcement learning algorithm for voltage control in realistic distribution systems using smart inverters
Yansong Pei, Ketian Ye, Junbo Zhao, et al.
Applied Energy (2024) Vol. 372, pp. 123758-123758
Closed Access | Times Cited: 1
Identifying distribution network line parameters and voltage angles by utilizing physical knowledge: A neural network approach
Terezija Matijašević, Tomislav Capuder, Juraj Havelka
Sustainable Energy Grids and Networks (2024), pp. 101606-101606
Closed Access | Times Cited: 1
Residual Deep Reinforcement Learning With Model-Based Optimization for Inverter-Based Volt-Var Control
Qiong Liu, Ye Guo, Lirong Deng, et al.
IEEE Transactions on Sustainable Energy (2024) Vol. 16, Iss. 1, pp. 269-283
Closed Access
A Measurement-Based Adaptive Voltage Regulation Method Considering Topology Changes
Haoyi Wang, Junbo Zhao, Yiyun Yao, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2024), pp. 1-5
Closed Access
Hierarchical Multi-Agent Deep Reinforcement Learning for Coordinated Voltage Regulation in Active Distribution Networks with Hybrid Devices
Tingjun Zhang, Liang Yu, Dong Yue, et al.
(2023), pp. 7219-7224
Closed Access
Line Parameter and Switching State Identification Method for Radial and Meshed Distribution Networks
Terezija Matijašević, Tomislav Antić, Tomislav Capuder
2022 International Conference on Smart Energy Systems and Technologies (SEST) (2023), pp. 1-6
Closed Access
Cooperative Multi-Agent Reinforcement Learning Method for Fast Voltage Regulation using Distributed Wind Turbine Generators
Miguel Jimenez Aparicio, Rachid Darbali-Zamora
(2023), pp. 1-5
Closed Access
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