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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.

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Showing 1-25 of 27 citing articles:

A dual attention LSTM lightweight model based on exponential smoothing for remaining useful life prediction
Jiayu Shi, Jingshu Zhong, Yuxuan Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109821-109821
Closed Access | Times Cited: 41
State of health prediction of lithium-ion batteries based on bidirectional gated recurrent unit and transformer
Chenyu Jia, Yukai Tian, Yuanhao Shi, et al.
Energy (2023) Vol. 285, pp. 129401-129401
Closed Access | Times Cited: 40
Research on Outdoor Mobile Music Speaker Battery Management Algorithm Based on Dynamic Redundancy
Xiaofei Yu, Yanke Li, Xiaonan Li, et al.
Technologies (2023) Vol. 11, Iss. 2, pp. 60-60
Open Access | Times Cited: 28
A hybrid neural network based on variational mode decomposition denoising for predicting state-of-health of lithium-ion batteries
Zifan Yuan, Tian Tian, Fuchong Hao, et al.
Journal of Power Sources (2024) Vol. 609, pp. 234697-234697
Closed Access | Times Cited: 8
Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries
Seyed Saeed Madani, Carlos Ziebert, Parisa Vahdatkhah, et al.
Batteries (2024) Vol. 10, Iss. 6, pp. 204-204
Open Access | Times Cited: 8
A Lithium-Ion Battery Capacity and RUL Prediction Fusion Method Based on Decomposition Strategy and GRU
Huihan Liu, Yanmei Li, Laijin Luo, et al.
Batteries (2023) Vol. 9, Iss. 6, pp. 323-323
Open Access | Times Cited: 19
Remaining Useful Life Prediction of Lithium-Ion Batteries by Using a Denoising Transformer-Based Neural Network
Yunlong Han, Conghui Li, Linfeng Zheng, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6328-6328
Open Access | Times Cited: 18
State of the Art in Electric Batteries’ State-of-Health (SoH) Estimation with Machine Learning: A Review
Giovane Ronei Sylvestrin, Joylan Nunes Maciel, Márcio Luís Munhoz Amorim, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 746-746
Open Access
A novel remaining useful life prediction for the lithium-ion battery using DPformer and enhanced optimization techniques
Delin Huang, Qiwen Ran, Jinghui Yang, et al.
Ionics (2025)
Closed Access
A Battery Prognostics and Health Management Technique Based on Knee Critical Interval and Linear Complexity Self-Attention Transformer in Electric Vehicles
Yan Ma, Jiaqi Li, Yunfeng Hu, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 10216-10230
Closed Access | Times Cited: 4
Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders
Xanthi Bampoula, Nikolaos Nikolakis, Kosmas Alexopoulos
Sensors (2024) Vol. 24, Iss. 10, pp. 3215-3215
Open Access | Times Cited: 4
State of charge estimation for lithium-ion battery using Time Series Transformer with De-noise De-stationary Inception Network
Zhihao Yi, Liwei Wang, Kaitai Yang
Journal of Energy Storage (2024) Vol. 93, pp. 112224-112224
Closed Access | Times Cited: 4
Review—Optimized Particle Filtering Strategies for High-Accuracy State of Charge Estimation of LIBs
Shunli Wang, Xianyi Jia, Paul Takyi‐Aninakwa, et al.
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 5, pp. 050514-050514
Open Access | Times Cited: 10
Fusion Technology-Based CNN-LSTM-ASAN for RUL Estimation of Lithium-Ion Batteries
Yanming Li, Xiaojuan Qin, Furong Ma, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9223-9223
Open Access | Times Cited: 2
A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation
Yangtao Wang, Shunli Wang, Yongcun Fan, et al.
Ionics (2024) Vol. 30, Iss. 5, pp. 2609-2625
Closed Access | Times Cited: 1
Frequency-domain attention mixture of expert models for remaining useful life prediction of lithium-ion batteries
Luyao Wu, Jianjun Zhao, Xiaozhong Du, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 8477-8487
Closed Access | Times Cited: 1
Review on interfacial compatibility of solid-state lithium batteries
Yichi Zhang, Guoxu Zheng, Zhuo Yuan, et al.
Ionics (2023) Vol. 29, Iss. 5, pp. 1639-1666
Closed Access | Times Cited: 3
CTARNS: Improving Capacity Estimation of Lithium-Ion Battery by Using Convolutional Transformer with Nested Sequence Models
Hung Nguyen Bui, Thien Pham, Tho Quan
Lecture notes in networks and systems (2023), pp. 625-637
Closed Access | Times Cited: 2
Anti-noise computational ghost imaging based on wavelet threshold denoising
Yiran Fan, Yanfeng Bai, Qin Fu, et al.
Optics Communications (2024) Vol. 566, pp. 130684-130684
Closed Access
Apartment Complex Price Prediction Via Time Series Attention-Geographic Attention Network
Hakhyun Kim, Hwankyu Yoo, Joon Lee, et al.
(2024)
Closed Access
TDDAM: Transformer Based Deep Domain Adaptation Methodology for Lithium-ion Battery Prognosis
Shanzhe Yang, Runda Jia, Xiaoguang Ma, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035321-035321
Closed Access
Remaining Useful Life Prediction of Lithium-ion Batteries Based on DBO-CNN-DSformer
Congbo Yin, Xiaoyu Shen, Chengbin Wang, et al.
Electrochimica Acta (2024) Vol. 508, pp. 145123-145123
Closed Access
Towards Multiple-View Nested Graph Convolutional Networks for stable and robust lithium-ion battery forecasting
Thien Pham, Hung Nguyen Bui, Mao Nguyen, et al.
Energy Reports (2024) Vol. 12, pp. 4777-4793
Open Access
Integrated Method of Future Capacity and RUL Prediction for Lithium‐Ion Batteries Based on CEEMD‐Transformer‐LSTM Model
Wangyang Hu, Chaolong Zhang, Laijin Luo, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 11, pp. 5272-5286
Open Access
Fault detection method for electric vehicle battery pack based on improved kurtosis and isolation forest
Minghu Wu, Yuhui Sheng, Fan Zhang, et al.
International Journal of Green Energy (2024), pp. 1-17
Closed Access
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