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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:

Deep reinforcement learning based energy management strategy for range extend fuel cell hybrid electric vehicle
Yin Huang, Haoqin Hu, Jiaqi Tan, et al.
Energy Conversion and Management (2023) Vol. 277, pp. 116678-116678
Closed Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Optimal energy management strategies for hybrid electric vehicles: A recent survey of machine learning approaches
Julakha Jahan Jui, Mohd Ashraf Ahmad, M. M. Imran Molla, et al.
Journal of Engineering Research (2024) Vol. 12, Iss. 3, pp. 454-467
Open Access | Times Cited: 24
Hybrid STO- IWGAN method based energy optimization in fuel cell electric vehicles
D. Viji, Sanjay Dhanka, Binda M.B., et al.
Energy Conversion and Management (2024) Vol. 305, pp. 118249-118249
Closed Access | Times Cited: 23
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: 16
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: 35
Online adaptive energy management strategy for fuel cell hybrid vehicles based on improved cluster and regression learner
Mince Li, Yujie Wang, Pengli Yu, et al.
Energy Conversion and Management (2023) Vol. 292, pp. 117388-117388
Closed Access | Times Cited: 29
Integrated velocity optimization and energy management for FCHEV: An eco-driving approach based on deep reinforcement learning
Weiqi Chen, Jiankun Peng, Tinghui Ren, et al.
Energy Conversion and Management (2023) Vol. 296, pp. 117685-117685
Closed Access | Times Cited: 23
Research on energy management strategy of fuel cell hybrid power via an improved TD3 deep reinforcement learning
Yujie Zhou, Yin Huang, Xuping Mao, et al.
Energy (2024) Vol. 293, pp. 130564-130564
Closed Access | Times Cited: 15
Deep reinforcement learning-based health-conscious energy management for fuel cell hybrid electric vehicles in model predictive control framework
Xuejin Huang, J. Zhang, Kai Ou, et al.
Energy (2024) Vol. 304, pp. 131769-131769
Closed Access | Times Cited: 12
Health management review for fuel cells: Focus on action phase
Jian Zuo, Nadia Yousfi Steiner, Zhongliang Li, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 201, pp. 114613-114613
Open Access | Times Cited: 12
Multi-objective optimization of ice distribution uniformity and startup failure time for cold start of PEMFC catalyst layer based on CTnet and PSO-GA
Zhuwei Liu, Xuping Mao, Zehao Kang, et al.
Fuel (2024) Vol. 363, pp. 130922-130922
Closed Access | Times Cited: 11
Sustainable energy management in electric vehicle secure monitoring and blockchain machine learning model
Weijia Jin, Chenhui Li, Min Zheng
Computers & Electrical Engineering (2024) Vol. 115, pp. 109093-109093
Closed Access | Times Cited: 11
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: 9
Deep reinforcement learning-based eco-driving control for connected electric vehicles at signalized intersections considering traffic uncertainties
Jie Li, Abbas Fotouhi, Wenjun Pan, et al.
Energy (2023) Vol. 279, pp. 128139-128139
Open Access | Times Cited: 22
Deep reinforcement learning based energymanagement strategy considering running costs and energy source aging for fuel cell hybrid electric vehicle
Yin Huang, Zehao Kang, Xuping Mao, et al.
Energy (2023) Vol. 283, pp. 129177-129177
Closed Access | Times Cited: 22
Flexible path planning-based reconfiguration strategy for maximum capacity utilization of battery pack
Xinghua Liu, Guoyi Chang, Jiaqiang Tian, et al.
Journal of Energy Chemistry (2023) Vol. 86, pp. 362-372
Closed Access | Times Cited: 19
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
An Online Energy Management Strategy for Fuel Cell Vehicles Based on Fuzzy Q-Learning and Road Condition Recognition
Duo Yang, Siyu Wang, Yuefeng Liao, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 12120-12130
Closed Access | Times Cited: 4
Optimizing energy management in electric vehicles with hybrid battery systems using the GTOA-DRCNN method
K. V. Kandaswamy, V. Rengarajan, Bhavana Narain
Journal of Energy Storage (2024) Vol. 100, pp. 113352-113352
Closed Access | Times Cited: 4
Study on energy management strategy for hybrid power system with fuel cell hysteresis
Xiuliang Zhao, H. Y. Yuan, Lei Wang, et al.
Energy (2025) Vol. 315, pp. 134407-134407
Closed Access
Research on energy management strategy of hybrid electric mining trucks based on SAC
Weiwei Yang, Wenming Zhang, Nong Zhang
International Journal of Green Energy (2025), pp. 1-12
Closed Access
Improved Mode Switching and Gear Shift Control Strategy of Parallel Hybrid Electric Vehicle Based on Dynamic Programming
Xingguang Zhai, Yujuan Li, G S Jiang, et al.
SAE International journal of commercial vehicles (2025) Vol. 18, Iss. 2
Closed Access
Research on Energy Management Strategy of Fuel Cell Hybrid Electric Vehicle with Speed Prediction Under Car-Following Scenarios
Dongji Xuan, Sihan Chen, Xuejin Huang, et al.
(2025)
Closed Access
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
Stochastic Velocity-Prediction Conscious Energy Management Strategy based Self-learning Markov Algorithm for a Fuel Cell Hybrid Electric Vehicle
Xinyou Lin, Yukun Ren, Xinhao Xu
Energy (2025), pp. 135167-135167
Closed Access
Research on Energy Management Strategy of Fuel Cell Hybrid Electric Vehicle with Speed Prediction Under Car-Following Scenarios
Sihan Chen, Xuejin Huang, Yujie Zhou, et al.
(2025)
Closed Access
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