| Review on supercapacitors: Technologies and performance evaluation J Zhao, AF Burke Journal of energy chemistry 59, 276-291, 2021 | 463 | 2021 |
| Electrochemical capacitors: Materials, technologies and performance J Zhao, AF Burke Energy Storage Materials 36, 31-55, 2021 | 150 | 2021 |
| Electrochemical capacitors: performance metrics and evaluation by testing and analysis J Zhao, AF Burke Advanced Energy Materials 11 (1), 2002192, 2021 | 128 | 2021 |
| Machine learning for predicting battery capacity for electric vehicles J Zhao, H Ling, J Liu, J Wang, AF Burke, Y Lian ETransportation 15, 100214, 2023 | 106 | 2023 |
| Autonomous driving system: A comprehensive survey J Zhao, W Zhao, B Deng, Z Wang, F Zhang, W Zheng, W Cao, J Nan, ... Expert Systems with Applications 242, 122836, 2024 | 101 | 2024 |
| Performance testing of supercapacitors: Important issues and uncertainties J Zhao, Y Gao, AF Burke Journal of Power Sources 363, 327-340, 2017 | 66 | 2017 |
| Electric Vehicle Batteries: Status and Perspectives of Data-Driven Diagnosis and Prognosis J Zhao, AF Burke Batteries 8 (10), 142, 2022 | 65 | 2022 |
| Battery prognostics and health management from a machine learning perspective J Zhao, X Feng, Q Pang, J Wang, Y Lian, M Ouyang, AF Burke Journal of Power Sources 581, 233474, 2023 | 58 | 2023 |
| Data-driven prediction of battery failure for electric vehicles J Zhao, H Ling, J Wang, AF Burke, Y Lian Iscience 25 (4), 2022 | 56 | 2022 |
| Battery safety: Machine learning-based prognostics J Zhao, X Feng, Q Pang, M Fowler, Y Lian, M Ouyang, AF Burke Progress in Energy and Combustion Science 102, 101142, 2024 | 55 | 2024 |
| Specialized deep neural networks for battery health prognostics: Opportunities and challenges J Zhao, X Han, M Ouyang, AF Burke Journal of Energy Chemistry, 2023 | 54 | 2023 |
| Battery safety: Fault diagnosis from laboratory to real world J Zhao, X Feng, MK Tran, M Fowler, M Ouyang, AF Burke Journal of Power Sources 598, 234111, 2024 | 49 | 2024 |
| Past, present and future of electrochemical capacitors: technologies, performance and applications AF Burke, J Zhao Journal of Energy Storage 35, 102310, 2021 | 49 | 2021 |
| Cloud-based artificial intelligence framework for battery management system D Shi, J Zhao, C Eze, Z Wang, J Wang, Y Lian, AF Burke Energies 16 (11), 4403, 2023 | 44 | 2023 |
| Battery fault diagnosis and failure prognosis for electric vehicles using spatio-temporal transformer networks J Zhao, X Feng, J Wang, Y Lian, M Ouyang, AF Burke Applied Energy 352, 121949, 2023 | 40 | 2023 |
| Cloud-based deep learning for co-estimation of battery state of charge and state of health D Shi, J Zhao, Z Wang, H Zhao, C Eze, J Wang, Y Lian, AF Burke Energies 16 (9), 3855, 2023 | 39 | 2023 |
| Projections of the costs of medium-and heavy-duty battery-electric and fuel cell vehicles (2020-2040) and related economic issues AF Burke, J Zhao, MR Miller, A Sinha, LM Fulton Energy for Sustainable Development 77, 101343, 2023 | 35 | 2023 |
| Battery prognostics and health management for electric vehicles under industry 4.0 J Zhao, AF Burke Journal of Energy Chemistry 84, 30-33, 2023 | 31 | 2023 |
| Spatial-temporal self-attention transformer networks for battery state of charge estimation D Shi, J Zhao, Z Wang, H Zhao, J Wang, Y Lian, AF Burke Electronics 12 (12), 2598, 2023 | 29 | 2023 |
| The creation of a representative driving cycle based on intelligent transportation system (ITS) and a mathematically statistical algorithm: A case study of Changchun (China) J Zhao, Y Gao, J Guo, L Chu Sustainable Cities and Society 42, 301-313, 2018 | 29 | 2018 |
Andrew F. BurkeResearch Engineer, University of California, DavisVerified email at ucdavis.edu