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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:

A comparative study of deep reinforcement learning based energy management strategy for hybrid electric vehicle
Zexing Wang, Hongwen He, Jiankun Peng, et al.
Energy Conversion and Management (2023) Vol. 293, pp. 117442-117442
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A hierarchical cooperative eco-driving and energy management strategy of hybrid electric vehicle based on improved TD3 with multi-experience
Bin Chen, Miaoben Wang, Lin Hu, et al.
Energy Conversion and Management (2025) Vol. 326, pp. 119508-119508
Closed Access | Times Cited: 1
A reinforcement learning energy management strategy for fuel cell hybrid electric vehicles considering driving condition classification
Xu Kang, Yujie Wang, Zonghai Chen
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101298-101298
Closed Access | Times Cited: 8
Knowledge-network-embedded deep reinforcement learning: An innovative way to high-efficiently develop an energy management strategy for the integrated energy system with renewable energy sources and multiple energy storage systems
Bin Jia, Fan Li, Bo Sun
Energy (2024) Vol. 301, pp. 131604-131604
Closed Access | Times Cited: 6
Deep reinforcement learning based adaptive energy management for plug-in hybrid electric vehicle with double deep Q-network
Dehua Shi, Han Xu, Shaohua Wang, et al.
Energy (2024) Vol. 305, pp. 132402-132402
Closed Access | Times Cited: 5
An intelligent full-knowledge transferable collaborative eco-driving framework based on improved soft actor-critic algorithm
Ruchen Huang, Hongwen He, Qicong Su
Applied Energy (2024) Vol. 375, pp. 124078-124078
Closed Access | Times Cited: 5
Health-awareness energy management strategy for battery electric vehicles based on self-attention deep reinforcement learning
Changcheng Wu, Jiankun Peng, Hongwen He, et al.
Journal of Power Sources (2024) Vol. 623, pp. 235463-235463
Closed Access | Times Cited: 5
Multi-objective energy management for off-road hybrid electric vehicles via nash DQN
Lijin Han, Xuan Zhou, Ningkang Yang, et al.
Automotive Innovation (2025)
Closed Access
Multi-Objective Optimization of Hybrid Electric Vehicles Energy Management Using Multi-Agent Deep Reinforcement Learning Framework
Xiaoyu Li, Zhiyong Zhou, Changyin Wei, et al.
Energy and AI (2025), pp. 100491-100491
Open Access
Enabling intelligent transferable energy management of series hybrid electric tracked vehicle across motion dimensions via soft actor-critic algorithm
Hongwen He, Qicong Su, Ruchen Huang, et al.
Energy (2024) Vol. 294, pp. 130933-130933
Closed Access | Times Cited: 4
A real-time energy management strategy combining rule and optimization for minimizing energy consumption and emissions of flywheel hybrid electric vehicle (FHEV)
Shulong Si, Binbin Yang, Bingqi Gao, et al.
Applied Thermal Engineering (2024) Vol. 255, pp. 124013-124013
Closed Access | Times Cited: 4
Experimental Study on Using Biodiesel in Hybrid Electric Vehicles
Juan Carlos Paredes-Rojas, Ramon Costa‐Castelló, Rubén Vázquez‐Medina, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1621-1621
Open Access
Optimal control of HVAC systems through active disturbance rejection control-assisted reinforcement learning in energy-aware buildings
Can Cui, Jiahui Xue, Lanjun Liu
Energy (2025), pp. 135824-135824
Closed Access
Battery health-considered energy management strategy for a dual-motor two-speed battery electric vehicle based on a hybrid soft actor-critic algorithm with memory function
Changcheng Wu, Jiankun Peng, Jun Chen, et al.
Applied Energy (2024) Vol. 376, pp. 124306-124306
Closed Access | Times Cited: 3
GA-LSTM speed prediction-based DDQN energy management for extended-range vehicles
Laiwei Lu, Hong Zhao, Fuliang Xv, et al.
Energy and AI (2024) Vol. 17, pp. 100367-100367
Open Access | Times Cited: 3
Comparison of deep reinforcement learning-based energy management strategies for fuel cell vehicles considering economics, durability and adaptability
Siyu Wang, Duo Yang, Fuhui Yan, et al.
Energy (2024) Vol. 307, pp. 132771-132771
Closed Access | Times Cited: 2
A Review on the Powertrains and Energy Management Strategies of Electric Tractors
Qiang Yu, Xionglin He, L. D. Liu, et al.
Deleted Journal (2024), pp. 100064-100064
Closed Access | Times Cited: 2
Multiple Electric Components Health-Aware Eco-Driving Strategy for Fuel Cell Hybrid Electric Vehicle Based on Soft Actor-Critic Algorithm
Jiankun Peng, Jiaxuan Zhou, Jun Chen, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 6242-6257
Closed Access | Times Cited: 6
Energy Management in Hybrid Electric Vehicles: A Q-Learning Solution for Enhanced Drivability and Energy Efficiency
Alessia Musa, Pier Giuseppe Anselma, Giovanni Belingardi, et al.
Energies (2023) Vol. 17, Iss. 1, pp. 62-62
Open Access | Times Cited: 6
Research on energy-saving driving control of hydrogen fuel bus based on deep reinforcement learning in freeway ramp weaving area
Jiankun Peng, Yang Shen, Changcheng Wu, et al.
Energy (2023) Vol. 285, pp. 129449-129449
Closed Access | Times Cited: 5
Integrated energy hub dispatch with a multi-mode CAES–BESS hybrid system: An option-based hierarchical reinforcement learning approach
Feifei Cui, Dou An, Huan Xi
Applied Energy (2024) Vol. 374, pp. 123950-123950
Closed Access | Times Cited: 1
Learning-based hierarchical cooperative eco-driving with traffic flow prediction for hybrid electric vehicles
Xiaolin Tang, Linyang Zheng, Jiaxin Chen, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119000-119000
Closed Access | Times Cited: 1
LearningEMS: A Unified Framework and Open-source Benchmark for Learning-based Energy Management of Electric Vehicles
Yong Wang, Hongwen He, Yuankai Wu, et al.
Engineering (2024)
Open Access | Times Cited: 1
Control Technologies for Advanced Engines and Powertrains: A Review
Yudai YAMASAKI, Ji-Hoon Kim
International Journal of Automotive Engineering (2024) Vol. 15, Iss. 1, pp. 1-9
Open Access
An Integrated Eco-Driving Framework for Hybrid Electric Vehicles in Multi-Lane Scenarios Based on Deep Reinforcement Learning
Weiqi Chen, Jiankun Peng, Yuhan Ma, et al.
(2024)
Closed Access
Hierarchical Energy Management Recognizing Powertrain Dynamics for Electrified Vehicles with Deep Reinforcement Learning and Transfer Learning
Hao Wang, Atriya Biswas, Ryan Ahmed, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 3466-3479
Closed Access
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