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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:

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

Showing 18 citing articles:

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: 15
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 | Times Cited: 1
Battery Remaining Useful Life Prediction Using Machine Learning Models: A Comparative Study
Vahid Safavi, Arash Mohammadi, Najmeh Bazmohammadi, et al.
Information (2024) Vol. 15, Iss. 3, pp. 124-124
Open Access | Times Cited: 9
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 CNN-GRU Approach to the Accurate Prediction of Batteries’ Remaining Useful Life from Charging Profiles
Sadiqa Jafari, Yung-Cheol Byun
Computers (2023) Vol. 12, Iss. 11, pp. 219-219
Open Access | Times Cited: 16
Discharge Capacity Estimation for Li-Ion Batteries: A Comparative Study
Saadin Oyucu, Sezer Dümen, İremnur Duru, et al.
Symmetry (2024) Vol. 16, Iss. 4, pp. 436-436
Open Access | Times Cited: 7
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Tianjiao Lin, Liuyang Song, Lingli Cui, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102524-102524
Closed Access | Times Cited: 6
Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review
Sijing Wang, Ruoyu Zhou, Yijia Ren, et al.
Green Chemical Engineering (2024)
Open Access | Times Cited: 5
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
A novel RUL prediction framework based on the adaptability feature perception fusion model method
Jiabo Li, Zhixuan Wang, Di Tian, et al.
Journal of Energy Storage (2025) Vol. 119, pp. 116322-116322
Closed Access
AdaBoost Ensemble Approach with Weak Classifiers for Gear Fault Diagnosis and Prognosis in DC Motors
Syed Safdar Hussain, Syed Sajjad Haider Zaidi
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3105-3105
Open Access | Times Cited: 4
A parallel weighted ADTC-Transformer framework with FUnet fusion and KAN for improved lithium-ion battery SOH prediction
Chuang Chen, Yuheng Wu, Jiantao Shi, et al.
Control Engineering Practice (2025) Vol. 159, pp. 106302-106302
Closed Access
Enhancing prediction accuracy of Remaining Useful Life in lithium-ion batteries: A deep learning approach with Bat optimizer
Shahid A. Hasib, Shareeful Islam, Md F. Ali, et al.
Deleted Journal (2024) Vol. 2, pp. 100003-100003
Open Access | Times Cited: 3
Estimation of concrete materials uniaxial compressive strength using soft computing techniques
Matiur Rahman Raju, Mahfuzur Rahman, Md Mehedi Hasan, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e22502-e22502
Open Access | Times Cited: 9
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
TransRUL: A Transformer-Based Multihead Attention Model for Enhanced Prediction of Battery Remaining Useful Life
Umar Saleem, Wenjie Liu, Saleem Riaz, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3976-3976
Open Access | Times Cited: 1
IIP-Mixer: Intra–Inter-Patch Mixing Architecture for Battery Remaining Useful Life Prediction
Guangzai Ye, Li Feng, Jianlan Guo, et al.
Energies (2024) Vol. 17, Iss. 14, pp. 3553-3553
Open Access
Research on the Remaining Useful Life Prediction Method of Energy Storage Battery Based on Multimodel Integration
Lei Shao, Liangqi Zhao, Hongli Liu, et al.
ACS Omega (2024) Vol. 9, Iss. 39, pp. 40496-40510
Open Access
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