| A novel estimation method for the state of health of lithium-ion battery using prior knowledge-based neural network and Markov chain H Dai, G Zhao, M Lin, J Wu, G Zheng IEEE transactions on industrial electronics 66 (10), 7706-7716, 2018 | 317 | 2018 |
| A multi-feature-based multi-model fusion method for state of health estimation of lithium-ion batteries M Lin, D Wu, J Meng, J Wu, H Wu Journal of Power Sources 518, 230774, 2022 | 158 | 2022 |
| State of health estimation of lithium-ion battery with improved radial basis function neural network J Wu, L Fang, G Dong, M Lin Energy 262, 125380, 2023 | 95 | 2023 |
| Lithium-ion batteries health prognosis via differential thermal capacity with simulated annealing and support vector regression M Lin, C Yan, J Meng, W Wang, J Wu Energy 250, 123829, 2022 | 94 | 2022 |
| Investigation of the relationship between tracking accuracy and tracking distance of a novel magnetic tracking system S Su, W Yang, H Dai, X Xia, M Lin, B Sun, C Hu IEEE Sensors Journal 17 (15), 4928-4937, 2017 | 84 | 2017 |
| Multi-objective optimization of reliability-redundancy allocation problem for multi-type production systems considering redundancy strategies W Wang, M Lin, Y Fu, X Luo, H Chen Reliability Engineering & System Safety 193, 106681, 2020 | 78 | 2020 |
| State of health estimation of lithium-ion battery based on an adaptive tunable hybrid radial basis function network M Lin, X Zeng, J Wu Journal of Power Sources 504, 230063, 2021 | 75 | 2021 |
| Health prognosis with optimized feature selection for lithium-ion battery in electric vehicle applications J Wu, X Cui, H Zhang, M Lin IEEE Transactions on Power Electronics 36 (11), 12646-12655, 2021 | 72 | 2021 |
| State of health estimation with attentional long short-term memory network for lithium-ion batteries M Lin, J Wu, J Meng, W Wang, J Wu Energy 268, 126706, 2023 | 65 | 2023 |
| Data-driven state of charge estimation for power battery with improved extended Kalman filter X Liu, Q Li, L Wang, M Lin, J Wu IEEE Transactions on Instrumentation and Measurement 72, 1-10, 2023 | 61 | 2023 |
| A data-driven approach for estimating state-of-health of lithium-ion batteries considering internal resistance M Lin, C Yan, W Wang, G Dong, J Meng, J Wu Energy 277, 127675, 2023 | 56 | 2023 |
| Data-driven transfer-stacking-based state of health estimation for lithium-ion batteries J Wu, X Cui, J Meng, J Peng, M Lin IEEE Transactions on Industrial Electronics 71 (1), 604-614, 2023 | 52 | 2023 |
| An improved calibration method for a rotating 2D LiDAR system Y Zeng, H Yu, H Dai, S Song, M Lin, B Sun, W Jiang, MQH Meng Sensors 18 (2), 497, 2018 | 52 | 2018 |
| A comprehensive overview and comparison of parameter benchmark methods for lithium-ion battery application J Peng, J Meng, J Wu, Z Deng, M Lin, S Mao, DI Stroe Journal of Energy Storage 71, 108197, 2023 | 49 | 2023 |
| Positioning accuracy improvement of automated guided vehicles based on a novel magnetic tracking approach S Su, X Zeng, S Song, M Lin, H Dai, W Yang, C Hu IEEE Intelligent Transportation Systems Magazine 12 (4), 138-148, 2018 | 49 | 2018 |
| Battery health prognosis with gated recurrent unit neural networks and hidden Markov model considering uncertainty quantification M Lin, Y You, W Wang, J Wu Reliability Engineering & System Safety 230, 108978, 2023 | 43 | 2023 |
| 6-D electromagnetic tracking approach using uniaxial transmitting coil and tri-axial magneto-resistive sensor H Dai, S Song, X Zeng, S Su, M Lin, MQH Meng IEEE Sensors Journal 18 (3), 1178-1186, 2017 | 41 | 2017 |
| Geomagnetic compensation for the rotating of magnetometer array during magnetic tracking H Dai, C Hu, S Su, M Lin, S Song IEEE Transactions on Instrumentation and Measurement 68 (9), 3379-3386, 2018 | 40 | 2018 |
| Lithium-ion batteries SOH estimation with multimodal multilinear feature fusion M Lin, Y You, J Meng, W Wang, J Wu, DI Stroe IEEE Transactions on Energy Conversion 38 (4), 2959-2968, 2023 | 36 | 2023 |
| Health prognosis for lithium-ion battery with multi-feature optimization M Lin, D Wu, J Meng, W Wang, J Wu Energy 264, 126307, 2023 | 36 | 2023 |