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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:

Fast capacity prediction of lithium-ion batteries using aging mechanism-informed bidirectional long short-term memory network
Xiaodong Xu, Shengjin Tang, Xuebing Han, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109185-109185
Closed Access | Times Cited: 36

Showing 26-50 of 36 citing articles:

Intelligent recognition of structural health state of EV lithium-ion Battery using transfer learning based on X-ray computed tomography
Ying Zhang, Kaiye Gao, Tianyi Ma, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110374-110374
Closed Access | Times Cited: 1
A coarse-to-fine ensemble method for capacity prediction of lithium-ion batteries in production
Guocui Zhang, Changlun Zhang, Qiang He
International Journal of Green Energy (2024) Vol. 21, Iss. 15, pp. 3538-3552
Closed Access | Times Cited: 1
Taxi Demand Method Based on SCSSA-CNN-BiLSTM
Dudu Guo, Miao Sun, Qingqing Wang, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 7879-7879
Open Access | Times Cited: 1
Synergizing physics and machine learning for advanced battery management
Manashita Borah, Qiao Wang, Scott Moura, et al.
Communications Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
AM-MFF: A multi-feature fusion framework based on attention mechanism for robust and interpretable lithium-ion battery state of health estimation
Sizhe Chen, Jing Liu, Haoliang Yuan, et al.
Applied Energy (2024) Vol. 381, pp. 125116-125116
Closed Access | Times Cited: 1
A Physics-Informed Learning Algorithm in Dynamic Speed Prediction Method for Series Hybrid Electric Powertrain
Wei Liu, Chao Yang, Weida Wang, et al.
(2024)
Closed Access
Generic Physics-Informed Machine Learning Framework for Battery Remaining Useful Life Prediction Using Small Early-Stage Lifecycle Data
DENG WEIKUN, Hung Lê, Christian Gogu, et al.
(2024)
Closed Access
Learning the Ageing Behaviour of Lithium-Ion Batteries Using Electric Vehicle Fleet Analysis
Thomas Lehmann, Erik Berendes, Richard Kratzing, et al.
Batteries (2024) Vol. 10, Iss. 12, pp. 432-432
Open Access
Capacity prediction method of lithium-ion battery in production process based on eXtreme Gradient Boosting
Zhengyu Liu, Rui Xu, Hao Wang
Ionics (2024)
Closed Access
Short Term Charging Data Based Battery State of Health and State of Charge Estimation Using Feature Pyramid
Bowen Dou, Shujuan Hou, Li Hai, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 73, Iss. 5, pp. 6383-6394
Closed Access
Capacity Prediction Method of Lithium-Ion Battery in Production Process Based on Extreme Gradient Boosting
Zhengyu Liu, Hao Wang, Liandong Tang, et al.
(2023)
Closed Access
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