January 08, 2021 article Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning Applied Energy DOI: 10.1016/j.apenergy.2020.116410 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 251 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 Data sufficiency for transferable lithium-ion battery periodical SOH estimation under resource constraints 2025 Cell Reports Physical Science article Engineering Advanced Battery Technologies Research Open access 12 citations Enhanced robust capacity estimation of lithium-ion batteries with unlabeled dataset and semi-supervised machine learning 2023 Expert Systems with Applications article Engineering Advanced Battery Technologies Research 20 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 Random health indicator and shallow neural network based robust capacity estimation for lithium-ion batteries with different fast charging protocols 2023 Energy article Engineering Advanced Battery Technologies Research 12 citations 4 results References 0