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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:

Predicting battery capacity from impedance at varying temperature and state of charge using machine learning
Paul Gasper, Andrew Schiek, Kandler Smith, et al.
Cell Reports Physical Science (2022) Vol. 3, Iss. 12, pp. 101184-101184
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

The development of machine learning-based remaining useful life prediction for lithium-ion batteries
Xingjun Li, Dan Yu, Søren Byg Vilsen, et al.
Journal of Energy Chemistry (2023) Vol. 82, pp. 103-121
Open Access | Times Cited: 85
A Review on Dynamic Recycling of Electric Vehicle Battery: Disassembly and Echelon Utilization
Jinhua Xiao, Chengran Jiang, Bo Wang
Batteries (2023) Vol. 9, Iss. 1, pp. 57-57
Open Access | Times Cited: 42
Unlocking Interpretable Prediction of Battery Random Discharge Capacity With Domain Adaptative Physics Constraint
Yunhong Che, Jia Guo, Yusheng Zheng, et al.
Advanced Energy Materials (2025)
Open Access | Times Cited: 1
Electrochemical impedance spectroscopy beyond linearity and stationarity—A critical review
Noël Hallemans, David A. Howey, Alberto Battistel, et al.
Electrochimica Acta (2023) Vol. 466, pp. 142939-142939
Open Access | Times Cited: 33
Efficient state of charge estimation in electric vehicles batteries based on the extra tree regressor: A data-driven approach
Sadiqa Jafari, Yung-Cheol Byun
Heliyon (2024) Vol. 10, Iss. 4, pp. e25949-e25949
Open Access | Times Cited: 14
Physics-informed machine learning for battery degradation diagnostics: A comparison of state-of-the-art methods
Sina Navidi, Adam Thelen, Tingkai Li, et al.
Energy storage materials (2024) Vol. 68, pp. 103343-103343
Open Access | Times Cited: 13
Multi-model ensemble learning for battery state-of-health estimation: Recent advances and perspectives
Chuanping Lin, Jun Xu, Delong Jiang, et al.
Journal of Energy Chemistry (2024)
Closed Access | Times Cited: 7
Investigation into Impedance Measurements for Rapid Capacity Estimation of Lithium-ion Batteries in Electric Vehicles
Xiaoyu Zhao, Zuolu Wang, Eric Li, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 6
Lithium loss, resistance growth, electrode expansion, gas evolution, and Li plating: Analyzing performance and failure of commercial large-format NMC-Gr lithium-ion pouch cells
Paul Gasper, Nathaniel Sunderlin, Nathan Dunlap, et al.
Journal of Power Sources (2024) Vol. 604, pp. 234494-234494
Closed Access | Times Cited: 5
PINN surrogate of Li-ion battery models for parameter inference, Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Malik Hassanaly, Peter J. Weddle, Ryan King, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113103-113103
Open Access | Times Cited: 5
Research Advances on Lithium‐Ion Batteries Calendar Life Prognostic Models
Tao Pan, Yujie Li, Ziqing Yao, et al.
Carbon Neutralization (2025) Vol. 4, Iss. 1
Open Access
Machine learning-assisted design and prediction of materials for batteries based on alkali metals
Ke Si, Zhipeng Sun, Huaxin Song, et al.
Physical Chemistry Chemical Physics (2025)
Closed Access
Understanding the impact of recent usage on lithium-ion battery impedance through the relaxation phenomena
Wenlin Zhang, Ryan Ahmed, Saeid Habibi
Journal of Power Sources (2025) Vol. 630, pp. 236108-236108
Closed Access
State of health estimation for lithium-ion batteries using impedance-based simplified timescale information
Guangjun Qian, Yuejiu Zheng, Xinyu Li, et al.
Applied Energy (2025) Vol. 382, pp. 125272-125272
Closed Access
Auslegung und Zellmodellierung eines Formula Student-Hochvoltakkus
Markus Franta, Harald Neudorfer
e+i Elektrotechnik und Informationstechnik (2025)
Closed Access
Online multi-scenario impedance spectra generation for batteries based on small-sample learning
Jiajun Zhu, Xin Lai, Xiaopeng Tang, et al.
Cell Reports Physical Science (2024) Vol. 5, Iss. 8, pp. 102134-102134
Open Access | Times Cited: 3
Increasing generalization capability of battery health estimation using continual learning
Yunhong Che, Yusheng Zheng, Simona Onori, et al.
Cell Reports Physical Science (2023) Vol. 4, Iss. 12, pp. 101743-101743
Open Access | Times Cited: 7
A transfer learning-based ensemble learning model for electric vehicles lithium-ion battery capacity estimation using electrochemical impedance spectroscopy
Xiaoyu Zhao, Shiyu Liu, Eric Li, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 68, pp. 103886-103886
Open Access | Times Cited: 2
Open source online electrochemical impedance spectroscopy data analytics tool
Alexander Blömeke, Ole Kappelhoff, David Wasylowski, et al.
Journal of Power Sources (2024) Vol. 615, pp. 235049-235049
Open Access | Times Cited: 2
COBRAPRO: An Open-Source Software for the Doyle-Fuller-Newman Model with Co-Simulation Parameter Optimization Framework
Sara Ha, Simona Onori
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 9, pp. 090522-090522
Closed Access | Times Cited: 2
Predicting battery applications for complex materials based on chemical composition and machine learning
Zixin Zhuang, Amanda S. Barnard
Computational Materials Science (2024) Vol. 246, pp. 113344-113344
Open Access | Times Cited: 2
Predicting the heat release variability of Li-ion cells under thermal runaway with few or no calorimetry data
Karina Masalkovaitė, Paul Gasper, Donal P. Finegan
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Electrochemical impedance spectroscopy image transformation-based convolutional neural network for diagnosis of external environment classification affecting abnormal aging of Li-ion batteries
Dong‐Ho Han, Sanguk Kwon, Mi-Young Lee, et al.
Applied Energy (2023) Vol. 345, pp. 121336-121336
Closed Access | Times Cited: 6
Computation-efficient Approach to EIS Feature Extraction for Battery Informatics and Big Data
Xueying L. Quinn, Daniel W. Shaw, Yujia Liang, et al.
(2024)
Open Access | Times Cited: 1
Real-Time Sensorless Temperature Estimation of Lithium-Ion Batteries Based on Online Operando Impedance Acquisition
Yusheng Zheng, Yunhong Che, Jia Guo, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 10, pp. 13853-13868
Closed Access | Times Cited: 1
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