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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 prediction of lithium-ion batteries under early partial data based on IWOA-BiLSTM with single feature
Yan Ma, Jiaqi Li, Jinwu Gao, et al.
Energy (2024) Vol. 295, pp. 131085-131085
Closed Access | Times Cited: 23

Showing 23 citing articles:

Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions
Guangheng Qi, Ning Ma, Kai Wang
Energies (2024) Vol. 17, Iss. 11, pp. 2585-2585
Open Access | Times Cited: 38
SOH early prediction of lithium-ion batteries based on voltage interval selection and features fusion
Simin Peng, Junchao Zhu, Tiezhou Wu, et al.
Energy (2024) Vol. 308, pp. 132993-132993
Closed Access | Times Cited: 27
Machine Learning-Based Lithium Battery State of Health Prediction Research
Kun Li, Xinling Chen
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 516-516
Open Access | Times Cited: 1
State-of-health estimation and knee point identification of lithium-ion battery based on data-driven and mechanism model
Yulong Ni, Kai Song, Lei Pei, et al.
Applied Energy (2025) Vol. 385, pp. 125539-125539
Closed Access | Times Cited: 1
A framework of joint SOC and SOH estimation for lithium-ion batteries: Using BiLSTM as a battery model
Shuhua Li, Zelong Jiang, Zhongwen Zhu, et al.
Journal of Power Sources (2025) Vol. 635, pp. 236342-236342
Closed Access | Times Cited: 1
An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition
Tao Zhu, Shunli Wang, Yongcun Fan, et al.
Energy (2024) Vol. 306, pp. 132464-132464
Closed Access | Times Cited: 6
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
State of Health Estimation for Lithium-Ion Batteries Using Enhanced Whale Optimization Algorithm for Feature Selection and Support Vector Regression Model
Rui Wang, Xiaowei Xu, Qi Zhou, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 158-158
Open Access
Data-physics-driven co-estimation of capacity and state of charge for lithium-ion batteries in electric vehicle
Dinghua Zhou, Zhongwen Zhu, Weihai Jiang, et al.
Journal of Energy Storage (2025) Vol. 111, pp. 115188-115188
Closed Access
Estimating battery state of health using impedance spectrum geometric health indicators and recurrent deep sigma point process
Shude Zhang, Weiru Yuan, Yingzhou Wang, et al.
Journal of Energy Storage (2025) Vol. 119, pp. 116117-116117
Closed Access
A State-of-Health Estimation Method of a Lithium-Ion Power Battery for Swapping Stations Based on a Transformer Framework
Yu Shi, Haicheng Xie, Xinhong Wang, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 22-22
Open Access
Online identification of knee point in conventional and accelerated aging lithium-ion batteries using linear regression and Bayesian inference methods
Yulong Ni, Xiaoyu Li, He Zhang, et al.
Applied Energy (2025) Vol. 388, pp. 125646-125646
Closed Access
Enhanced State of Health Prediction for Lithium-Ion Batteries Using a Hybrid Convolutional–Kolmogorov–Arnold Network
Yunxian Cui, Y.T. Feng
International Journal of Electrochemical Science (2025), pp. 101008-101008
Open Access
Joint prediction of state of health and remaining useful life for lithium-ion batteries based on health features optimization and multi-model fusion
Zheng Di, Shuo Man, Xifeng Guo, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6239-6252
Closed Access | Times Cited: 3
State of health estimation joint improved grey wolf optimization algorithm and LSTM using partial discharging health features for lithium-ion batteries
Simin Peng, Yujian Wang, Aihua Tang, et al.
Energy (2024), pp. 134293-134293
Closed Access | Times Cited: 2
Early-stage lifetime prediction for lithium-ion batteries: Linear regression - ensemble learning hybrid model based on impedance spectroscopy geometry
Shude Zhang, Weiru Yuan, Yingzhou Wang, et al.
Journal of Power Sources (2024) Vol. 617, pp. 235153-235153
Closed Access | Times Cited: 1
Integrated Mixed Attention U-Net Mechanisms with Multi-Stage Division Strategy Customized for Accurate Estimation of Lithium-Ion Battery State of Health
Xinyu Fan, Xuxu Yang, Feifei Hou
Electronics (2024) Vol. 13, Iss. 16, pp. 3244-3244
Open Access | Times Cited: 1
Estimation of lithium-ion battery health state using MHATTCN network with multi-health indicators inputs
Fengming Zhao, D. Gao, Yuan-Ming Cheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
CEEMDAN-RIME–Bidirectional Long Short-Term Memory Short-Term Wind Speed Prediction for Wind Farms Incorporating Multi-Head Self-Attention Mechanism
Wenlu Yang, Zhanqiang Zhang, Keqilao Meng, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8337-8337
Open Access
State of health estimation method for Lithium-ion batteries based on multi-feature fusion and BO-BiGRU model
Junchao Zhu, Jun Zhang, Jian Kang, et al.
Journal of Electrochemical Energy Conversion and Storage (2024) Vol. 22, Iss. 4
Closed Access
Predictive combination model for CH4 separation and CO2 sequestration with CO2 injection into coal seams: VMD-STA-BiLSTM-ELM hybrid neural network modeling
Haiteng Xue, Gongda Wang, Xijian Li, et al.
Energy (2024) Vol. 313, pp. 133744-133744
Closed Access
SOH prediction of lithium-ion batteries using a hybrid model approach integrating single particle model and neural networks
Di Zhou, Jinlian Liang, Fuxiang Li, et al.
Journal of Energy Storage (2024) Vol. 104, pp. 114579-114579
Closed 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
Remaining useful life prediction of lithium battery based on multi decoder graph autoencoder and transformer network
Yan Ma, Jiaqi Li, Jinwu Gao
IFAC-PapersOnLine (2024) Vol. 58, Iss. 29, pp. 350-355
Open Access
A novel BA-ABC-ELM model for estimating state of health of lithium-ion batteries
Dongdong Ge, Guiyang Jin, Jian‐qiang Wang, et al.
Energy Reports (2024) Vol. 13, pp. 465-476
Closed Access
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