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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 transferable long-term lithium-ion battery aging trajectory prediction model considering internal resistance and capacity regeneration phenomenon
Yaodi Huang, Pengcheng Zhang, Jiahuan Lu, et al.
Applied Energy (2024) Vol. 360, pp. 122825-122825
Closed Access | Times Cited: 13

Showing 13 citing articles:

PatchFormer: A novel patch-based transformer for accurate remaining useful life prediction of lithium-ion batteries
Lei Liu, Jiahui Huang, Hongwei Zhao, et al.
Journal of Power Sources (2025) Vol. 631, pp. 236187-236187
Closed Access
Early prediction of battery lifetime for lithium-ion batteries based on a hybrid clustered CNN model
Jing Hou, Taian Su, Tian Gao, et al.
Energy (2025), pp. 134992-134992
Closed Access
A Hybrid Battery Degradation Model Combining Arrhenius Equation and Neural Network for Capacity Prediction under Time-varying Operating Conditions
Zhen Chen, Zirong Wang, Wei Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110471-110471
Closed Access | Times Cited: 3
A capacity fade reliability model for lithium-ion battery packs based on real-vehicle data
Zheng Yifan, Sida Zhou, Zhengjie Zhang, et al.
Energy (2024) Vol. 307, pp. 132782-132782
Closed Access | Times Cited: 2
Remaining useful life prediction of lithium-ion batteries based on data denoising and improved transformer
Kaile Zhou, Zhiyue Zhang
Journal of Energy Storage (2024) Vol. 100, pp. 113749-113749
Closed Access | Times Cited: 2
Adaptive Sliding Window–Dynamic Time Warping-Based Fluctuation Series Prediction for the Capacity of Lithium-Ion Batteries
Sihan Sun, Minming Gu, Tuoqi Liu
Electronics (2024) Vol. 13, Iss. 13, pp. 2501-2501
Open Access | Times Cited: 1
Remaining useful life prediction of lithium-ion batteries based on FEEMD-LSTM-TAM-OKELM
Jianwei Yu, Yaoyang Cai, Yingxin Huang, et al.
AIP Advances (2024) Vol. 14, Iss. 11
Open Access | Times Cited: 1
Early Prediction of Battery Lifetime for Lithium-Ion Batteries Based on a Hybrid Clustered Cnn Model
Jing Hou, Taian Su, Tian Gao, et al.
(2024)
Closed Access
High precision estimation of remaining useful life of lithium-ion batteries based on strongly correlated aging feature factors and AdaBoost framework
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6215-6237
Closed Access
A deep learning approach for supercapacitor remaining useful life prediction using pre-classifying strategy
Yaodi Huang, Jun Xu, Zhongmin Cai
Journal of Energy Storage (2024) Vol. 100, pp. 113458-113458
Closed Access
A synthetic data generation method and evolutionary transformer model for degradation trajectory prediction in lithium-ion batteries
Haiyan Jin, Rui Ru, Lei Cai, et al.
Applied Energy (2024) Vol. 377, pp. 124629-124629
Closed Access
A two-stage method with twin autoencoders for the degradation trajectories prediction of lithium-ion batteries
Lei Cai, Jing‐Kun Yan, Haiyan Jin, et al.
Journal of Energy Chemistry (2024) Vol. 103, pp. 759-772
Closed Access
Rul Prediction for Lithium-Ion Battery Based on Rf Combined with Ewoa Optimized Gru-Aam
huiyi yan, Jing Sun, Chaoqun Fan
(2024)
Closed Access
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