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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:

A machine learning framework for remaining useful lifetime prediction of li-ion batteries using diverse neural networks
Junghwan Lee, Huanli Sun, Yongshan Liu, et al.
Energy and AI (2023) Vol. 15, pp. 100319-100319
Open Access | Times Cited: 17

Showing 17 citing articles:

Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM
Boshi Xu, Wenbiao Ma, Wenyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100420-100420
Open Access | Times Cited: 9
Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review
Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 17-17
Open Access
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
Innovations and prognostics in battery degradation and longevity for energy storage systems
Julian Tebbe, Alexander Hartwig, Ali Jamali, et al.
Journal of Energy Storage (2025) Vol. 114, pp. 115724-115724
Open Access
Predicting the RUL of Li-Ion Batteries in UAVs Using Machine Learning Techniques
Dragoș Andrioaia, Vasile Gheorghiță Găitan, George Culea, et al.
Computers (2024) Vol. 13, Iss. 3, pp. 64-64
Open Access | Times Cited: 3
Review of Lithium-Ion Battery Internal Changes Due to Mechanical Loading
Maria Cortada-Torbellino, David García Elvira, Abdelali El Aroudi, et al.
Batteries (2024) Vol. 10, Iss. 7, pp. 258-258
Open Access | Times Cited: 3
Enhanced vision-transformer integrating with semi-supervised transfer learning for state of health and remaining useful life estimation of lithium-ion batteries
Ya‐Xiong Wang, Shangyu Zhao, Shiquan Wang, et al.
Energy and AI (2024) Vol. 17, pp. 100405-100405
Open Access | Times Cited: 3
AI Technologies and Their Applications in Small-Scale Electric Power Systems
Arqum Shahid, Freddy Plaum, Tarmo Korõtko, et al.
IEEE Access (2024) Vol. 12, pp. 109984-110001
Open Access | Times Cited: 3
Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries
Slimane Arbaoui, Ahmed Samet, Ali Ayadi, et al.
Energy and AI (2024) Vol. 17, pp. 100413-100413
Open Access | Times Cited: 2
PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery
Zhekang Dong, Mengjie Yang, Junfan Wang, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 2696-2706
Closed Access | Times Cited: 2
Predictive analytics for prolonging lithium-ion battery lifespan through informed storage conditions
Shalini Dwivedi, Aparna Akula, Michael Pecht
Energy (2024) Vol. 308, pp. 133052-133052
Closed Access | Times Cited: 2
Dual-task Learning for Joint State-of-Charge and State-of-Energy Estimation of Lithium-ion Battery in Electric Vehicle
Zhengyi Bao, Jiahao Nie, Huipin Lin, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 558-569
Closed Access | Times Cited: 1
A general framework for lithium-ion battery state of health estimation: From laboratory tests to machine learning with transferability across domains
Zhi Cao, Wei Gao, Yuhong Fu, et al.
Applied Energy (2024) Vol. 381, pp. 125086-125086
Open Access | Times Cited: 1
MOFs-derived CoMn-layered double hydroxide array anchored to Ti3C2Tx MXene nanosheets as efficent catalysts for rechargeable lithium-oxygen batteries
Yongming Zhu, Hong Sun, Tianyu Zhang, et al.
Journal of Electroanalytical Chemistry (2024) Vol. 967, pp. 118466-118466
Closed Access
SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection
Amel Hidouri, Slimane Arbaoui, Ahmed Samet, et al.
Lecture notes in computer science (2024), pp. 177-191
Closed Access
Degradation Prediction of Pem Water Electrolyzer Under Constant and Start-Stop Loads Based on Cnn-Lstm
Boshi Xu, Wenbiao Ma, Wenyan Wu, et al.
(2024)
Closed Access
Linear Regression-Based Procedures for Extraction of Li-Ion Battery Equivalent Circuit Model Parameters
Vicentiu-Iulian Savu, Chris Brace, Georg P. Engel, et al.
Batteries (2024) Vol. 10, Iss. 10, pp. 343-343
Open Access
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