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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 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

Showing 1-25 of 72 citing articles:

Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma
Human-Centric Intelligent Systems (2023) Vol. 3, Iss. 4, pp. 588-615
Open Access | Times Cited: 60
Integrating electric vehicles into hybrid microgrids: A stochastic approach to future-ready renewable energy solutions and management
Aykut Fatih Güven
Energy (2024) Vol. 303, pp. 131968-131968
Closed Access | Times Cited: 21
Sustainable plug-in electric vehicle integration into power systems
Hongcai Zhang, Xiaosong Hu, Zechun Hu, et al.
Nature Reviews Electrical Engineering (2024) Vol. 1, Iss. 1, pp. 35-52
Open Access | Times Cited: 15
Deep Reinforcement Learning-based Plug-in Electric Vehicle Charging/Discharging Scheduling in a Home Energy Management System
Shaza H. Mansour, Sarah M. Azzam, Hany M. Hasanien, et al.
Energy (2025), pp. 134420-134420
Closed Access | Times Cited: 1
Bi-level real-time pricing model in multitype electricity users for welfare equilibrium: A reinforcement learning approach
H. Song, Zhongqing Wang, Yan Gao
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 1
Closed Access | Times Cited: 1
A Systematic Review on power systems planning and operations management with grid integration of transportation electrification at scale
Qianzhi Zhang, Jinyue Yan, H. Oliver Gao, et al.
Advances in Applied Energy (2023) Vol. 11, pp. 100147-100147
Open Access | Times Cited: 36
Development of improved reinforcement learning smart charging strategy for electric vehicle fleet
S.J. Sultanuddin, R. Vibin, Alok Kumar, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 106987-106987
Closed Access | Times Cited: 31
Optimization Challenges in Vehicle-to-Grid (V2G) Systems and Artificial Intelligence Solving Methods
Marc Escoto, Antoni Guerrero, Elnaz Ghorbani, et al.
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5211-5211
Open Access | Times Cited: 11
Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives
Xiaolin Tang, Jiaxin Chen, Yechen Qin, et al.
Chinese Journal of Mechanical Engineering (2024) Vol. 37, Iss. 1
Open Access | Times Cited: 9
A systematic survey on demand response management schemes for electric vehicles
Riya Kakkar, Smita Agrawal, Sudeep Tanwar
Renewable and Sustainable Energy Reviews (2024) Vol. 203, pp. 114748-114748
Closed Access | Times Cited: 9
Recent advances in data mining and machine learning for enhanced building energy management
Xinlei Zhou, Han Du, Shan Xue, et al.
Energy (2024) Vol. 307, pp. 132636-132636
Open Access | Times Cited: 8
Advancing Electric Vehicle Battery Analysis With Digital Twins in Intelligent Transportation Systems
Irum Saba, M. Habib Ullah, Muhammad Tariq
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12141-12150
Closed Access | Times Cited: 7
An inimitable Elman network based fire hawk controller and skill optimized power tracker with ultra gain converter for improving the performance of PV tied EV systems
S. Jaanaa Rubavathy, D. Sungeetha, Carmel Mary Belinda M J, et al.
Case Studies in Thermal Engineering (2024) Vol. 56, pp. 104183-104183
Open Access | Times Cited: 7
Opening of Ancillary Service Markets to Distributed Energy Resources: A Review
Francesco Gulotta, Edoardo Daccò, Alessandro Bosisio, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2814-2814
Open Access | Times Cited: 19
A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning
Md. Shadman Abid, Hasan Jamil Apon, Salman Hossain, et al.
Applied Energy (2023) Vol. 353, pp. 122029-122029
Closed Access | Times Cited: 19
Electric Vehicle Advancements, Barriers, and Potential: A Comprehensive Review
Alperen Mustafa Çolak, Erdal Irmak
Electric Power Components and Systems (2023) Vol. 51, Iss. 17, pp. 2010-2042
Closed Access | Times Cited: 18
Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach
Julie Maeng, Daiki Min, Yuncheol Kang
Sustainable Energy Grids and Networks (2023) Vol. 36, pp. 101224-101224
Closed Access | Times Cited: 17
Design of flexible energy systems for nearly/net zero energy buildings under uncertainty characteristics: A review
Ming Lu, Yongjun Sun, Georgios Kokogiannakis, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 205, pp. 114828-114828
Open Access | Times Cited: 5
Optimization of mobility incentives in electric vehicle car sharing systems: A reinforcement learning framework
Roberto Rocchetta, Lorenzo Nespoli, Vasco Medici, et al.
Sustainable Cities and Society (2025), pp. 106107-106107
Closed Access
Quantum Reinforcement Learning for real-time optimization in Electric Vehicle charging systems
H. Eric Xu, Ao Zhang, Qingle Wang, et al.
Applied Energy (2025) Vol. 383, pp. 125279-125279
Closed Access
EVLearn: extending the cityLearn framework with electric vehicle simulation
Tiago Fonseca, Luís Lino Ferreira, Bernardo Pereira Cabral, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Energy storage management in electric vehicles
Jiawei Zhang, Yunhong Che, Remus Teodorescu, et al.
(2025)
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
A bi-level solution strategy based on distributed proximal policy optimization for transmission and distribution network dispatch with EVs and variable energy
Lu Peng, H. Lan, Qiwei Yuan, et al.
Applied Energy (2025) Vol. 384, pp. 125405-125405
Closed Access
Real-Time Online Charging Control of Electric Vehicle Charging Station Based on a Multi-Agent Deep Reinforcement Learning
Yujing Li, Zhisheng Zhang, Qiang Xing
Energy (2025), pp. 135095-135095
Closed Access
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