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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.

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Showing 1-25 of 30 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
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
Towards Microgrid Resilience Enhancement via Mobile Power Sources and Repair Crews: A Multi-Agent Reinforcement Learning Approach
Yi Wang, Dawei Qiu, Fei Teng, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 1, pp. 1329-1345
Closed Access | Times Cited: 28
Toward Efficient Smart Management: A Review of Modeling and Optimization Approaches in Electric Vehicle-Transportation Network-Grid Integration
Mince Li, Yujie Wang, Pei Peng, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 6, pp. 100181-100181
Open Access | Times Cited: 9
A review on challenges and future of green charging networks for zero emission electric transportation
Ijaz Ahmed, Muhammad Maaruf, Amjad Ali, et al.
Energy Conversion and Management X (2025), pp. 100867-100867
Open 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 hierarchical deep reinforcement learning method for coupled transportation and power distribution system dispatching
Qi Han, Xueping Li, Liangce He
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110264-110264
Closed Access
How Is Transportation Sector Low-Carbon (TSLC) Research Developing After the Paris Agreement (PA)? A Decade Review
Xuanwei Zhao, Jinsong Han
Sustainability (2025) Vol. 17, Iss. 5, pp. 2261-2261
Open Access
Routing and Charging Scheduling for EV Battery Swapping Systems: Hypergraph-Based Heterogeneous Multiagent Deep Reinforcement Learning
Shuai Mao, Jiangliang Jin, Yunjian Xu
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 5, pp. 4903-4916
Closed Access | Times Cited: 4
Counterfactual-attention multi-agent reinforcement learning for joint condition-based maintenance and production scheduling
Nianmin Zhang, Yilan Shen, Ye Du, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 70-81
Closed Access | Times Cited: 9
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm
Jiankai Gao, Yang Li, Bin Wang, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3248-3248
Open Access | Times Cited: 8
Graph Reinforcement Learning for Carbon-Aware Electric Vehicles in Power-Transport Networks
Dawei Qiu, Yi Wang, Zhaohao Ding, et al.
IEEE Transactions on Smart Grid (2024) Vol. 15, Iss. 4, pp. 3919-3935
Closed Access | Times Cited: 2
Intelligent Integration of Renewable Energy Resources Review: Generation and Grid Level Opportunities and Challenges
Aras Ghafoor, Jamal Aldahmashi, Judith Apsley, et al.
Energies (2024) Vol. 17, Iss. 17, pp. 4399-4399
Open Access | Times Cited: 2
Multi-fault diagnosis of lithium battery packs based on comprehensive analysis of locally weighted Manhattan distance and voltage ratio
Shuangming Duan, Q. Zuo, Junhui Li, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113947-113947
Closed Access | Times Cited: 2
Physics-model-free heat-electricity energy management of multiple microgrids based on surrogate model-enabled multi-agent deep reinforcement learning
Sichen Li, Weihao Hu, Di Cao, et al.
Applied Energy (2023) Vol. 346, pp. 121359-121359
Closed 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
Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles
Shuangqi Li, Pengfei Zhao, Chenghong Gu, et al.
IEEE Transactions on Power Systems (2023) Vol. 39, Iss. 2, pp. 4105-4116
Closed Access | Times Cited: 6
Data-driven zero-carbon transition analysis in the industrial and manufacturing sectors: a world-regional perspective
Tat‐Dat Bui, Viqi Ardaniah, Qinghua Zhu, et al.
International Journal of Logistics Research and Applications (2023) Vol. 27, Iss. 12, pp. 2426-2465
Closed Access | Times Cited: 5
Orderly charging of electric vehicles: A two-stage spatial-temporal scheduling method based on user-personalized navigation
Hongbin Wu, Xiaoli Lan, Ye He, et al.
Applied Energy (2024) Vol. 378, pp. 124800-124800
Closed Access | Times Cited: 1
Multi agent framework for consumer demand response in electricity market: Applications and recent advancement
Vikash Kumar Saini, Rajesh Kumar, A. Sujil, et al.
Sustainable Energy Grids and Networks (2024), pp. 101550-101550
Closed Access | Times Cited: 1
Deep Reinforcement Learning-Based Charging Price Determination Considering the Coordinated Operation of Hydrogen Fuel Cell Electric Vehicle, Power Network and Transportation Network
Bei Li, Jiangchen Li, Mei Han
IEEE Access (2023) Vol. 11, pp. 75508-75521
Open Access | Times Cited: 4
A Systematic Review of Uncertainty Handling Approaches for Electric Grids Considering Electrical Vehicles
Anna Auza, Ehsan Asadi, Behrang Chenari, et al.
Energies (2023) Vol. 16, Iss. 13, pp. 4983-4983
Open Access | Times Cited: 3
Sizing Grid-Connected Microgrids Based on Deep Reinforcement Learning
Bei Li, Han Mei, Jiangchen Li
Lecture notes in electrical engineering (2024), pp. 515-523
Closed Access
A Joint Distributed Optimization Framework for Voltage Control and Emergency Energy Storage Vehicle Scheduling in Community Distribution Networks
Lin Xue, Tao Niu, Huaichang Ge, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 4, pp. 5317-5330
Closed Access
Combined Carbon Capture and Utilization with Peer-to-Peer Energy Trading for Multi-Microgrids Using Multi-Agent Proximal Policy Optimization
Ming Chen, Zhirong Shen, Lin Wang, et al.
IEEE Transactions on Control of Network Systems (2024) Vol. 11, Iss. 4, pp. 2173-2186
Closed Access
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