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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-agent deep reinforcement learning approach for EV charging scheduling in a smart grid
Keonwoo Park, Ilkyeong Moon
Applied Energy (2022) Vol. 328, pp. 120111-120111
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A hybrid electric vehicle load classification and forecasting approach based on GBDT algorithm and temporal convolutional network
Tianren Zhang, Yuping Huang, Hui Liao, et al.
Applied Energy (2023) Vol. 351, pp. 121768-121768
Closed Access | Times Cited: 48
A two-level charging scheduling method for public electric vehicle charging stations considering heterogeneous demand and nonlinear charging profile
Zhonghao Zhao, C.K.M. Lee, Jingzheng Ren
Applied Energy (2023) Vol. 355, pp. 122278-122278
Closed Access | Times Cited: 35
Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint
Yanting Zhou, Zhongjing Ma, Xingyu Shi, et al.
Energy (2023) Vol. 288, pp. 129732-129732
Closed Access | Times Cited: 26
Optimal power dispatching for a grid-connected electric vehicle charging station microgrid with renewable energy, battery storage and peer-to-peer energy sharing
Lindiwe Bokopane, K. Kusakana, Herman Vermaak, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112435-112435
Open Access | Times Cited: 13
A comprehensive review on coordinated charging of electric vehicles in distribution networks
Isha Chandra, Navneet Kumar Singh, Paulson Samuel
Journal of Energy Storage (2024) Vol. 89, pp. 111659-111659
Closed Access | Times Cited: 12
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 reinforcement learning approach using Markov decision processes for battery energy storage control within a smart contract framework
Mansour Selseleh Jonban, José Luis Romeral Martínez, Mousa Marzband, et al.
Journal of Energy Storage (2024) Vol. 86, pp. 111342-111342
Closed Access | Times Cited: 9
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: 20
Real-Time Multi-Home Energy Management with EV Charging Scheduling Using Multi-Agent Deep Reinforcement Learning Optimization
Niphon Kaewdornhan, Chitchai Srithapon, Rittichai Liemthong, et al.
Energies (2023) Vol. 16, Iss. 5, pp. 2357-2357
Open Access | Times Cited: 18
Multilevel Deep Reinforcement Learning for Secure Reservation-based Electric Vehicle Charging via Differential Privacy and Energy Storage System
Sangyoon Lee, Dae‐Hyun Choi
IEEE Transactions on Vehicular Technology (2024) Vol. 73, Iss. 8, pp. 11097-11109
Closed Access | Times Cited: 7
A cloud-fog computing framework for real-time energy management in multi-microgrid system utilizing deep reinforcement learning
Milad Mansouri, Mohsen Eskandari, Yousef Asadi, et al.
Journal of Energy Storage (2024) Vol. 97, pp. 112912-112912
Open Access | Times Cited: 7
Deep Q-Learning-Based Smart Scheduling of EVs for Demand Response in Smart Grids
Viorica Rozina Chifu, Tudor Cioara, Cristina Bianca Pop, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1421-1421
Open Access | Times Cited: 6
Development of an efficient vehicle-to-grid method for massive electric vehicle aggregation
Mingyu Seo, Daisuke Kodaira, Yuwei Jin, et al.
Energy Reports (2024) Vol. 11, pp. 1659-1674
Open Access | Times Cited: 5
Optimizing electric vehicle charging in distribution networks: A dynamic pricing approach using internet of things and Bi-directional LSTM model
P. Balakumar, Senthil Kumar R, Vinopraba Thirumavalavan
Energy (2024) Vol. 294, pp. 130815-130815
Closed Access | Times Cited: 5
Feature-enhanced deep learning method for electric vehicle charging demand probabilistic forecasting of charging station
Tingwei Cao, Yinliang Xu, Guowei Liu, et al.
Applied Energy (2024) Vol. 371, pp. 123751-123751
Closed Access | Times Cited: 5
Prediction of EV Charging Load Based on Federated Learning
Wanjun Yin, Jianbo Ji
Energy (2025), pp. 134559-134559
Closed Access
An Intelligent Electric Vehicle Charging System in a Smart Grid Using Artificial Intelligence
T. Senthilkumar, S. S. Sivaraju, T. Anuradha, et al.
Optimal Control Applications and Methods (2025)
Closed Access
Centralised vehicle-to-grid smart charging supported by PV generation for power variance minimisation at the transformer: A user’s perspective analysis
Mattia Secchi, David Macii, Grazia Barchi, et al.
eTransportation (2025), pp. 100394-100394
Open 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
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
Optimal infrastructures and integrative energy networks for sustainable and energy-resilient city renaissance
Zhaohui Dan, Bin Zhou, Yuekuan Zhou
Applied Energy (2025) Vol. 387, pp. 125612-125612
Closed Access
Reinforcement learning-based multi-objective smart energy management for electric vehicle charging stations with priority scheduling
Fatih Çakıl, Necati Aksoy
Energy (2025), pp. 135475-135475
Closed Access
Optimizing battery-swapping systems management for electric micro-mobility: A reinforcement learning approach
Fan Zhang, Huitao Lv, Yang Liu, et al.
Transportation Research Part A Policy and Practice (2025), pp. 104450-104450
Closed Access
Minimizing System Entropy: A Dual-Phase Optimization Approach for EV Charging Scheduling
W.-F. Yuan, Lin Guan
Entropy (2025) Vol. 27, Iss. 3, pp. 303-303
Open Access
AViTRoN: Advanced Vision Track Routing and Navigation for Autonomous Charging of Electric Vehicles
V. C. Mahaadevan, R. Narayanamoorthi, Sayantan Panda, et al.
IEEE Access (2024) Vol. 12, pp. 12402-12423
Open Access | Times Cited: 3
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