| Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter H Dong, X Jin, Y Lou, C Wang Journal of power sources 271, 114-123, 2014 | 330 | 2014 |
| Lithium-ion Battery State-of-Health Estimation and Remaining Useful Life Prediction H Dong, M Ling, C Wang, Q Li Transactions of Beijing Institute of Technology 35 (10), 1074-1078, 2015 | 8* | 2015 |
| Remaining useful life prediction of automotive lithium-ion battery C Wang, H Dong, M Ling, Q Li, Z Qu Automotive Engineering / Qiche Gongcheng 37 (4), 476-479, 2015 | 7* | 2015 |
| A new approach to battery capacity prediction based on hybrid ARMA and ANN model HC Dong, ST Zhang, QH Li, CH Wang Applied Mechanics and Materials 190, 241-244, 2012 | 7 | 2012 |
| Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on Dempster-Shafer Theory and the Support Vector Regression-Particle Filter H Dong IEEE Access 9, 165490-165503, 2021 | 4 | 2021 |
| Predicting the Remaining Useful Life of Lithium Ion Batteries based on the Support Vector Regression-particle Filter H Dong 2021 International Conference on Computer Information Science and Artificial …, 2021 | 4 | 2021 |
| Data-Driven Predictive Nickel-Hydrogen Battery Health Monitoring and Prognostics Y LOU, H DONG, X JIN, J NI, S CHENG, H ZHU Transactions of the North American Manufacturing Research Institution of SME …, 2014 | | 2014 |
