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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:

Coordinated Electric Vehicle Active and Reactive Power Control for Active Distribution Networks
Yi Wang, Dawei Qiu, Goran Štrbac, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1611-1622
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

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
Graph Learning-Based Voltage Regulation in Distribution Networks With Multi-Microgrids
Yi Wang, Dawei Qiu, Yu Wang, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 1881-1895
Closed Access | Times Cited: 26
Smart distribution network operation based on energy management system considering economic-technical goals of network operator
Zhiyu Yan, Zhiyuan Gao, Ramin Borjali Navesi, et al.
Energy Reports (2023) Vol. 9, pp. 4466-4477
Open Access | Times Cited: 23
A coordinated active and reactive power optimization approach for multi-microgrids connected to distribution networks with multi-actor-attention-critic deep reinforcement learning
Lei Dong, Hao Lin, Qiao Ji, et al.
Applied Energy (2024) Vol. 373, pp. 123870-123870
Closed Access | Times Cited: 10
Electric vehicle charging navigation strategy in coupled smart grid and transportation network: A hierarchical reinforcement learning approach
Changxu Jiang, Longcan Zhou, Jiehui Zheng, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 157, pp. 109823-109823
Open Access | Times Cited: 7
Meta-learning based voltage control strategy for emergency faults of active distribution networks
Yincheng Zhao, Guozhou Zhang, Weihao Hu, et al.
Applied Energy (2023) Vol. 349, pp. 121399-121399
Closed Access | Times Cited: 16
Distributed Training and Distributed Execution-Based Stackelberg Multi-Agent Reinforcement Learning for EV Charging Scheduling
Jin Zhang, Liang Che, Mohammad Shahidehpour
IEEE Transactions on Smart Grid (2023) Vol. 14, Iss. 6, pp. 4976-4979
Closed Access | Times Cited: 16
A multilayer voltage intelligent control strategy for distribution networks with V2G and power energy Production-Consumption units
Peixiao Fan, Jun Yang, Song Ke, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 159, pp. 110055-110055
Open Access | Times Cited: 6
Techno Economic Analysis of Grid Connected Photovoltaic Systems With Battery Energy Storage: A Comprehensive Review
Suman Saurabh, Adesh Kumar, Roushan Kumar
Energy Storage (2025) Vol. 7, Iss. 1
Open Access
Optimizing Vehicle-to-Grid Systems: Smart Integration of Shared Autonomous and Conventional Electric Vehicles
T. Krishnan, Priya Ranjan Satpathy, Vigna K. Ramachandaramurthy, et al.
eTransportation (2025) Vol. 24, pp. 100401-100401
Closed Access
Reinforcement learning for vehicle-to-grid: A review
Hongbin Xie, Ge Song, Zhuoran Shi, et al.
Advances in Applied Energy (2025), pp. 100214-100214
Open Access
Finite‐Time Consensus Pinning Control Method for Multiple Inverters–Paralleled Photovoltaic Microgrid
Xiping Ma, Liang Chen, Xiaoyang Dong, et al.
International Transactions on Electrical Energy Systems (2025) Vol. 2025, Iss. 1
Open Access
Heterogeneous Multi-Agent Reinforcement Learning for Cooperative Control of Vehicles and Traffic Lights in Mixed Traffic Scenarios
Bowen Chen, Wei Fang, Fengxiang Guo, et al.
(2025)
Closed Access
Coordinated voltage regulation of high renewable-penetrated distribution networks: An evolutionary curriculum-based deep reinforcement learning approach
Tingjun Zhang, Liang Yu, Dong Yue, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 149, pp. 108995-108995
Closed Access | Times Cited: 13
A novel solar photovoltaic powered grid interactive battery charging system for electric vehicle applications
Ponarun Ramamoorthi, R. Karthigaivel, Suresh Muthusamy, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9025-9044
Closed Access | Times Cited: 7
Multi-agent reinforcement learning for electric vehicle decarbonized routing and scheduling
Yi Wang, Dawei Qiu, Yinglong He, et al.
Energy (2023) Vol. 284, pp. 129335-129335
Open Access | Times Cited: 7
Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives
Mohammad Javad Salehpour, M. J. Hossain
Journal of Energy Storage (2024) Vol. 92, pp. 112151-112151
Open Access | Times Cited: 2
HFTL-KD: A new heterogeneous federated transfer learning approach for degradation trajectory prediction in large-scale decentralized systems
Shixiang Lü, Zhi-Wei Gao, Yuanhong Liu
Control Engineering Practice (2024) Vol. 153, pp. 106098-106098
Closed Access | Times Cited: 2
Grid-Aware Energy Management System for Distribution Grids Based on a Co-Simulation Approach
Abderrahman Benchekroun, Arnaud Davigny, Kahina Hassam-Ouari, et al.
IEEE Transactions on Power Delivery (2023) Vol. 38, Iss. 5, pp. 3571-3581
Closed Access | Times Cited: 6
Two-Timescale Coordinated Voltage Regulation for High Renewable-Penetrated Active Distribution Networks Considering Hybrid Devices
Tingjun Zhang, Liang Yu, Dong Yue, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 3456-3467
Open Access | Times Cited: 6
Volt-VAR Control in Active Distribution Networks Using Multi-Agent Reinforcement Learning
Shi Su, Haozhe Zhan, Luxi Zhang, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1971-1971
Open Access | Times Cited: 1
Dual-center control scheme and FF-DHRL-based collaborative optimization for charging stations under intra-day peak-shaving demand
Daohong Fang, Hao Tang, Nikos Hatziargyriou, et al.
Applied Energy (2024) Vol. 368, pp. 123453-123453
Closed Access | Times Cited: 1
Distributed Real-Time Feedback Optimization for Renewable Energy Sources and Vehicle-to-Grid Power Compensation of Electric Vehicle Chargers in Distribution Systems
Y. Cheng, T. W. Ching
Sustainability (2024) Vol. 16, Iss. 6, pp. 2432-2432
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
Optimal Short-Term Charge/Discharge Operation for Electric Vehicles with Volt-Var Control in Day-Ahead Electricity Market
Hiroshi Kikusato, Ryu Ando, Jun Hashimoto, et al.
IEEE Open Access Journal of Power and Energy (2024) Vol. 11, pp. 410-420
Open Access | Times Cited: 1
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