August 20, 2021 article Open access Automated Feature Extraction and Selection for Data-Driven Models of Rapid Battery Capacity Fade and End of Life IEEE Transactions on Industrial Informatics DOI: 10.1109/tii.2021.3106593 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 202 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Learning Battery Model Parameter Dynamics From Data With Recursive Gaussian Process Regression 2025 Journal of Dynamic Systems Measurement and Control article Engineering Advanced Battery Technologies Research Open access 15 citations Machine learning for battery quality classification and lifetime prediction using formation data 2024 Energy and AI article Engineering Advanced Battery Technologies Research Open access 35 citations Automated feature extraction to integrate field and laboratory data for aging diagnosis of automotive lithium-ion batteries 2023 Cell Reports Physical Science article Engineering Advanced Battery Technologies Research Open access 22 citations Review—“Knees” in Lithium-Ion Battery Aging Trajectories 2022 Journal of The Electrochemical Society article Engineering Advanced Battery Technologies Research Open access 497 citations 4 results References 0