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:

A deep learning approach incorporating attention mechanism and transfer learning for lithium-ion battery lifespan prediction
Wanjie Zhao, Wei Ding, Shujing Zhang, et al.
Journal of Energy Storage (2023) Vol. 75, pp. 109647-109647
Closed Access | Times Cited: 14

Showing 14 citing articles:

Early battery lifetime prediction based on statistical health features and box-cox transformation
Qiqi Wang, Min Xie, Fangfang Yang
Journal of Energy Storage (2024) Vol. 96, pp. 112594-112594
Closed Access | Times Cited: 4

Life prediction model for lithium-ion battery via a 3D convolutional network enhanced by channel attention considering charging and discharging process
Zeyu Jiang, Peng Tian, Zihan Tao, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112725-112725
Closed Access | Times Cited: 4

Predict the lifetime of lithium-ion batteries using early cycles: A review
M.Y. Yang, Xiaofei Sun, Rui Liu, et al.
Applied Energy (2024) Vol. 376, pp. 124171-124171
Closed Access | Times Cited: 4

A multi-strategy attention regression network for joint prediction of state of health and remaining useful life of lithium-ion batteries using only charging data
Weiguo Feng, Z. T. Sun, Y. L. Han, et al.
Journal of Power Sources (2025) Vol. 636, pp. 236507-236507
Closed Access

Accurate Prediction of Tea Catechin Content with Near-Infrared Spectroscopy by Deep Learning Based on Channel and Spatial Attention Mechanisms
Mingzan Zhang, Tuo Zhang, Yuan Wang, et al.
Chemosensors (2024) Vol. 12, Iss. 9, pp. 184-184
Open Access | Times Cited: 1

Cross-domain machine transfer learning for capacity aging trajectory prediction of lithium-ion batteries
Caiping Zhang, Jingcai Du, Shuowei Li, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235534-235534
Closed Access | Times Cited: 1

A federated transfer learning approach for lithium-ion battery lifespan early prediction considering privacy preservation
Zhen Zhang, Yanyu Wang, X. D. Ruan, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114153-114153
Closed 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

A Meta-Learning Method for Few-Shot Multi-Domain State of Health Estimation of Lithium-ion Batteries
Xiaoyu Zhao, Zuolu Wang, Te Han, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4830-4840
Closed Access

A collaborative interaction gate-based deep learning model with optimal bandwidth adjustment strategies for lithium-ion battery capacity point-interval forecasting
Zhi-Feng Liu, Ya-He Huang, Shu-Rui Zhang, et al.
Applied Energy (2024) Vol. 377, pp. 124741-124741
Closed Access

Lithium-ion batteries lifetime early prediction using domain adversarial learning
Zhen Zhang, Yanyu Wang, X. D. Ruan, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 208, pp. 115035-115035
Closed Access

Lithium-Ion Battery Life Prediction Using Deep Transfer Learning
Wen Zhang, R Pranav, Rui Wang, et al.
Batteries (2024) Vol. 10, Iss. 12, pp. 434-434
Open Access

A Contribution-Aware Federated Framework for Electric Vehicle Batteries Health Estimation
Bingyang Chen, Lulu Fan, Xiaoyi Zeng, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 4605-4612
Closed Access

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