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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.

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Showing 23 citing articles:

Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies
Mohamed Ahwiadi, Wilson Wang
Batteries (2025) Vol. 11, Iss. 1, pp. 31-31
Open Access | Times Cited: 3
Experimental investigation on hydrated salt phase change material for lithium-ion battery thermal management and thermal runaway mitigation
Maoyong Zhi, Rong Fan, Lingling Zheng, et al.
Energy (2024) Vol. 307, pp. 132685-132685
Closed Access | Times Cited: 15
Multiscale-multidomain model order reduction of Lithium-ion batteries for automobile application: A review
S. J. H. Rizvi, M. Wasim Tahir, Naveed Ramzan, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113390-113390
Closed Access | Times Cited: 9
A review of Bayesian-filtering-based techniques in RUL prediction for Lithium-Ion batteries
May Htet Htet Khine, Cheong Kim, Nattapol Aunsri
Journal of Energy Storage (2025) Vol. 111, pp. 115371-115371
Closed Access | Times Cited: 1
Thermal characterization of pouch cell using infrared thermography and electrochemical modelling for the Design of Effective Battery Thermal Management System
Hemanth Dileep, Kaushal Kumar Jha, Pallab Sinha Mahapatra, et al.
Applied Energy (2024) Vol. 376, pp. 124301-124301
Closed Access | Times Cited: 8
Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches
Adrienn Dineva
Batteries (2024) Vol. 10, Iss. 10, pp. 356-356
Open Access | Times Cited: 7
Experimental investigation for the influence mechanism of air intake method and humidity level on performance of proton exchange membrane fuel cells
Jianqin Fu, Guanjie Zhang, Dong Xu, et al.
International Journal of Hydrogen Energy (2024) Vol. 86, pp. 823-834
Closed Access | Times Cited: 5
Fuzzy Particle Filtering Based Approach for Battery RUL Prediction With Uncertainty Reduction Strategies
Gwanpil Kim, Jason J. Jung, Dong Kyu Kim, et al.
Expert Systems (2025) Vol. 42, Iss. 4
Open Access
Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review
Pierpaolo Dini, Davide Paolini
Batteries (2025) Vol. 11, Iss. 3, pp. 107-107
Open Access
Second-life battery energy storage system for energy sustainability: Recent advancements, key takeaways and future perspectives
M.F. Roslan, Priya Ranjan Satpathy, Thibeorchews Prasankumar, et al.
Journal of Energy Storage (2025) Vol. 123, pp. 116808-116808
Closed Access
Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review
Xianpeng Qiao, Veronica Lestari Jauw, Lim Chin Seong, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4059-4076
Closed Access | Times Cited: 3
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
A Novel Method for Estimating the State of Health of Lithium-Ion Batteries Based on Physics-Informed Neural Network
Youliang Deng, Changqing Du, Zhong Ren
Batteries (2025) Vol. 11, Iss. 2, pp. 49-49
Open Access
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Hybrid Ensembles Allied with Data-Driven Approach
Shuai Zhao, Daming Sun, Yan Liu, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1114-1114
Open Access
Bearing Lifespan Reliability Prediction Method Based on Multiscale Feature Extraction and Dual Attention Mechanism
Xudong Luo, Minghui Wang
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3662-3662
Open Access
Operation of EVs in hot climates: Modeling of temperature-driven energy consumption including Li-ion battery energy loss
Salman Harasis, Irfan Khan, Ahmed Massoud
Energy Reports (2025) Vol. 13, pp. 4209-4222
Closed Access
A review of the combined effects of environmental and operational factors on lithium-ion battery performance: temperature, vibration, and charging/discharging cycles
Dong Shi, Yi Cui, Xueling Shen, et al.
RSC Advances (2025) Vol. 15, Iss. 17, pp. 13272-13283
Open Access
Sensing-based Monitoring Systems for Electric Vehicle Battery – A Review
Ferdous Irtiaz Khan, Md. Moinul Hossain, Gang Lü
Deleted Journal (2025), pp. 100050-100050
Open Access
Battery Health Diagnosis via Neural Surrogate Model: From Lab to Field
Hojin Cheon, Jihun Jeon, Byungil Jung, et al.
Energies (2025) Vol. 18, Iss. 9, pp. 2405-2405
Open Access
Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries
Gopal Krishna, Rajesh Singh, Anita Gehlot, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model
Yuqi Liang, Shuai Zhao
Energies (2024) Vol. 17, Iss. 24, pp. 6326-6326
Open Access | Times Cited: 2
Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Hybrid Ensembles Allied with Data-Driven Approach
Yuqi Liang, Shuai Zhao
(2024)
Open Access | Times Cited: 1
Data-Driven Prognostics with Multi-Layer Perceptron Particle Filter: a Cross-Industry Exploration
Francesco Canceliere, Sylvain Girard, Jean‐Marc Bourinet
PHM Society European Conference (2024) Vol. 8, Iss. 1, pp. 8-8
Closed Access
Innovative Methods Predicting the Remaining Useful Life of Transformer Using Limited Data
Ika Noer Syamsiana, Nur Avika Febriani, Rachmat Sutjipto, et al.
(2024)
Closed Access
Prognostic of lithium-ion batteries using a combination of physical modeling and hybrid multi-layer perceptron particle filter
Francesco Cancelliere, Sylvain Girard, Jean‐Marc Bourinet, et al.
Energy Reports (2024) Vol. 12, pp. 5863-5874
Open Access
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