August 17, 2020 article Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning IEEE Transactions on Transportation Electrification DOI: 10.1109/tte.2020.3017090 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 383 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 Innovations and prognostics in battery degradation and longevity for energy storage systems 2025 Journal of Energy Storage article Engineering Advanced Battery Technologies Research Open access 39 citations Transferable data-driven capacity estimation for lithium-ion batteries with deep learning: A case study from laboratory to field applications 2023 Applied Energy article Engineering Advanced Battery Technologies Research 57 citations Nonlinear health evaluation for lithium-ion battery within full-lifespan 2022 Journal of Energy Chemistry article Engineering Advanced Battery Technologies Research Open access cited by 2 patents 161 citations 3 results References 0