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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:

Lifespan-consciousness and minimum-consumption coupled energy management strategy for fuel cell hybrid vehicles via deep reinforcement learning
Weiwei Huo, Dong Chen, Tian Sheng, et al.
International Journal of Hydrogen Energy (2022) Vol. 47, Iss. 57, pp. 24026-24041
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

A Systematic Study on Reinforcement Learning Based Applications
Keerthana Sivamayilvelan, R Elakkiya, Belqasem Aljafari, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1512-1512
Open Access | Times Cited: 63
Longevity-aware energy management for fuel cell hybrid electric bus based on a novel proximal policy optimization deep reinforcement learning framework
Ruchen Huang, Hongwen He, Xuyang Zhao, et al.
Journal of Power Sources (2023) Vol. 561, pp. 232717-232717
Closed Access | Times Cited: 56
Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles
Mojgan Fayyazi, Paramjotsingh Sardar, Sumit Infent Thomas, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5249-5249
Open Access | Times Cited: 49
Health-aware energy management strategy for fuel cell hybrid bus considering air-conditioning control based on TD3 algorithm
Chunchun Jia, Kunang Li, Hongwen He, et al.
Energy (2023) Vol. 283, pp. 128462-128462
Closed Access | Times Cited: 42
Towards a fossil-free urban transport system: An intelligent cross-type transferable energy management framework based on deep transfer reinforcement learning
Ruchen Huang, Hongwen He, Qicong Su
Applied Energy (2024) Vol. 363, pp. 123080-123080
Closed Access | Times Cited: 17
Deep deterministic policy gradient algorithm: A systematic review
Ebrahim Hamid Sumiea, Said Jadid Abdulkadir, Hitham Alhussian, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30697-e30697
Open Access | Times Cited: 17
Battery thermal- and cabin comfort-aware collaborative energy management for plug-in fuel cell electric vehicles based on the soft actor-critic algorithm
Lei Deng, Shen Li, Xiaolin Tang, et al.
Energy Conversion and Management (2023) Vol. 283, pp. 116889-116889
Closed Access | Times Cited: 38
Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information
Kunang Li, Jiaming Zhou, Chunchun Jia, et al.
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 821-833
Closed Access | Times Cited: 34
Training-efficient and cost-optimal energy management for fuel cell hybrid electric bus based on a novel distributed deep reinforcement learning framework
Ruchen Huang, Hongwen He, Miaojue Gao
Applied Energy (2023) Vol. 346, pp. 121358-121358
Closed Access | Times Cited: 28
Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning
Wenbin He, Ting Liu, Wuyi Ming, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114193-114193
Closed Access | Times Cited: 27
A novel data-driven energy management strategy for fuel cell hybrid electric bus based on improved twin delayed deep deterministic policy gradient algorithm
Ruchen Huang, Hongwen He
International Journal of Hydrogen Energy (2023) Vol. 52, pp. 782-798
Closed Access | Times Cited: 26
A twin delayed deep deterministic policy gradient-based energy management strategy for a battery-ultracapacitor electric vehicle considering driving condition recognition with learning vector quantization neural network
Rui Liu, Chun Wang, Aihua Tang, et al.
Journal of Energy Storage (2023) Vol. 71, pp. 108147-108147
Closed Access | Times Cited: 24
Cost-optimal design and energy management of fuel cell electric trucks
Alessandro Ferrara, Stefan Jakubek, Christoph Hametner
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 43, pp. 16420-16434
Open Access | Times Cited: 22
Energy management strategy for fuel cell electric vehicles based on scalable reinforcement learning in novel environment
Da Wang, Lei Mei, Feng Xiao, et al.
International Journal of Hydrogen Energy (2024) Vol. 59, pp. 668-678
Closed Access | Times Cited: 11
Energy management strategy with mutation protection for fuel cell electric vehicles
Da Wang, Mei Lei, Chuanxue Song, et al.
International Journal of Hydrogen Energy (2024) Vol. 63, pp. 48-58
Closed Access | Times Cited: 9
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
Multi-objective reinforcement learning-based energy management for fuel cell vehicles considering lifecycle costs
Jing Wu, Dafeng Song, Xiaoming Zhang, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 95, pp. 37385-37401
Closed Access | Times Cited: 16
Eco-driving strategy for fuel cell vehicles in car-following scenarios considering stack heat and durability based on SAC
Sen Zhan, Cong Liu, Yanli Yin, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118744-118744
Closed Access | Times Cited: 6
Model continuity approximations and real-time nonlinear optimization in cost-optimal predictive energy management of fuel cell hybrid electric vehicles
Ningyuan Guo, Wencan Zhang, Junqiu Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 61, pp. 341-356
Closed Access | Times Cited: 5
Enabling cross-type full-knowledge transferable energy management for hybrid electric vehicles via deep transfer reinforcement learning
Ruchen Huang, Hongwen He, Qicong Su, et al.
Energy (2024) Vol. 305, pp. 132394-132394
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
Adaptive energy management strategy for FCHEV based on improved proximal policy optimization in deep reinforcement learning algorithm
Xueqin Lü, Shenchen Qian, Xinrui Zhai, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 118977-118977
Closed Access | Times Cited: 5
Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control
Chunchun Jia, Wei Liu, Hongwen He, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119032-119032
Closed Access | Times Cited: 5
Securing Tomorrow’s Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies
Ridhi Jain, Norbert Tihanyi, Mohamed Amine Ferrag
Lecture notes in intelligent transportation and infrastructure (2025), pp. 365-385
Closed Access
A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience
Chunchun Jia, Hongwen He, Jiaming Zhou, et al.
Energy (2023) Vol. 282, pp. 128928-128928
Closed Access | Times Cited: 12
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