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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:

Li-ion Battery Failure Warning Methods for Energy-Storage Systems
Peihao Wu, Nawei Lyu, Yuhang Song, et al.
Chinese Journal of Electrical Engineering (2023) Vol. 10, Iss. 1, pp. 86-100
Open Access | Times Cited: 10

Showing 10 citing articles:

Machine learning enables rapid state of health estimation of each cell within battery pack
Quanqing Yu, Yuwei Nie, Shanshan Guo, et al.
Applied Energy (2024) Vol. 375, pp. 124165-124165
Closed Access | Times Cited: 14
Coupling effect of state of charge and loading rate on internal short circuit of lithium-ion batteries induced by mechanical abuse
Can Wang, R. Wang, Chengming Zhang, et al.
Applied Energy (2024) Vol. 375, pp. 124138-124138
Closed Access | Times Cited: 12
A comparative study on mechanical-electrical-thermal characteristics and failure mechanism of LFP/NMC/LTO batteries under mechanical abuse
Renjie Wang, Guofeng Liu, Can Wang, et al.
eTransportation (2024) Vol. 22, pp. 100359-100359
Closed Access | Times Cited: 7
Enhancing early warning systems: Experimental investigation of physical signals in thermal runaway evolution of large-capacity lithium iron phosphate batteries
Xin Lai, Jiaqi Yu, Shuoyuan Mao, et al.
Journal of Power Sources (2025) Vol. 632, pp. 236389-236389
Closed Access
Recent advances in semiconductor gas sensors for thermal runaway early-warning monitoring of lithium-ion batteries
Xingyan Shao, Dongzhi Zhang, Lina Zhou, et al.
Coordination Chemistry Reviews (2025) Vol. 535, pp. 216624-216624
Closed Access
Physics-informed battery degradation prediction: Forecasting charging curves using one-cycle data
Aihua Tang, Yuchen Xu, Jinpeng Tian, et al.
Journal of Energy Chemistry (2024)
Closed Access | Times Cited: 3
State of charge estimation of LiFePO4 battery in AB hybrid battery packs
Xingqun Cheng, Xiaolong Liu, Huanyong Deng, et al.
Journal of Energy Storage (2024) Vol. 108, pp. 115070-115070
Closed Access | Times Cited: 1
State of Power Prediction for Parallel Battery Pack Based on Discrimination of Cell Inconsistency Degree
Simin Peng, Shengdong Chen, Yong Liu, et al.
(2024)
Closed Access
Diagnosis of Abnormal Overcharge Internal Pressure in Lithium Battery Based on Physics‐Informed Neural Network's Residual Distribution
Hangyu Luo, Tao Cai, Aote Yuan, et al.
Energy Technology (2024)
Closed Access
Progressive degradation behavior and mechanism of lithium-ion batteries subjected to minor deformation damage
Can Wang, Renjie Wang, Guofeng Liu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113992-113992
Closed Access
Unsupervised learning for lithium-ion batteries fault diagnosis and thermal runaway early warning in real-world electric vehicles
Quanqing Yu, Yu Yang, Aihua Tang, et al.
Journal of Energy Storage (2024) Vol. 109, pp. 115194-115194
Closed Access
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