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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:

State of Health (SOH) Estimation of Lithium-Ion Batteries Based on ABC-BiGRU
Hao Li, Chao Chen, Jie Wei, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1675-1675
Open Access | Times Cited: 9

Showing 9 citing articles:

Joint estimation of State of Charge (SOC) and State of Health (SOH) for lithium ion batteries using Support Vector Machine (SVM), Convolutional Neural Network (CNN) and Long Sort Term Memory Network (LSTM) models
Minggang Zheng, Xing Luo
International Journal of Electrochemical Science (2024) Vol. 19, Iss. 9, pp. 100747-100747
Open Access | Times Cited: 9
Prediction of electric vehicle battery state of health estimation using a hybrid deep learning mechanism
Akshat Kant, Manish Kumar, Sajjan Sihag
International Journal of Green Energy (2025), pp. 1-14
Closed Access
Economic implications of enhanced stock market analysis using improved forecasting methods
Jason Peng, Yuming Yang
Expert Systems with Applications (2025), pp. 127240-127240
Closed Access
State of health estimation for lithium-ion batteries based on optimal feature subset algorithm
Jing Sun, Haitao Wang
Energy (2025), pp. 135685-135685
Closed Access
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Neural Network and Adaptive Unscented Kalman Filter
Lingtao Wu, Wenhao Guo, Yuben Tang, et al.
Electronics (2024) Vol. 13, Iss. 13, pp. 2619-2619
Open Access | Times Cited: 3
Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM
Fengming Zhao, D. Gao, Yuan-Ming Cheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
An Analytical Approach for IGBT Life Prediction Using Successive Variational Mode Decomposition and Bidirectional Long Short-Term Memory Networks
Kaitian Deng, Xianglian Xu, Fang Yuan, et al.
Electronics (2024) Vol. 13, Iss. 20, pp. 4002-4002
Open Access
EnerNet: Attention-based dilated CNN-BILSTM for state of health prediction of CS2 prismatic cells in energy systems
Umar Saleem, Wenjie Liu, Saleem Riaz, et al.
Electrochimica Acta (2024) Vol. 512, pp. 145454-145454
Closed Access
The Joint Estimation of SOC-SOH for Lithium-Ion Batteries Based on BiLSTM-SA
Lingling Wu, Chao Chen, Zhenhua Li, et al.
Electronics (2024) Vol. 14, Iss. 1, pp. 97-97
Open Access
Comparative Analysis of State-of-Health Estimation Techniques
Rakhee Kallimani, Krishna Pai, Prachi Patil
Advances in mechatronics and mechanical engineering (AMME) book series (2024), pp. 53-69
Closed Access
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