| Estimating remaining driving range of battery electric vehicles based on real-world data: A case study of Beijing, China J Bi, Y Wang, Q Sai, C Ding Energy 169, 833-843, 2019 | 114 | 2019 |
| A machine learning method for predicting driving range of battery electric vehicles S Sun, J Zhang, J Bi, Y Wang Journal of Advanced Transportation 2019 (1), 4109148, 2019 | 108 | 2019 |
| Optimising route choices for the travelling and charging of battery electric vehicles by considering multiple objectives Y Wang, J Bi, W Guan, X Zhao Transportation Research Part D: Transport and Environment 64, 246-261, 2018 | 67 | 2018 |
| Integrated optimization of charger deployment and fleet scheduling for battery electric buses Y Wang, F Liao, C Lu Transportation Research Part D: Transport and Environment 109, 103382, 2022 | 57 | 2022 |
| Residual range estimation for battery electric vehicle based on radial basis function neural network J Bi, Y Wang, S Shao, Y Cheng Measurement 128, 197-203, 2018 | 45 | 2018 |
| A data-based model for driving distance estimation of battery electric logistics vehicles J Bi, Y Wang, J Zhang EURASIP Journal on Wireless Communications and Networking 2018, 1-13, 2018 | 25 | 2018 |
| Optimal charging strategy for intercity travels of battery electric vehicles Y Wang, J Bi, W Guan, C Lu, D Xie Transportation Research Part D: Transport and Environment 96, 102870, 2021 | 22 | 2021 |
| Predicting charging time of battery electric vehicles based on regression and time-series methods: a case study of Beijing J Bi, Y Wang, S Sun, W Guan Energies 11 (5), 1040, 2018 | 22 | 2018 |
| Route guidance strategies for electric vehicles by considering stochastic charging demands in a time-varying road network Y Wang, J Bi, C Lu, C Ding Energies 13 (9), 2287, 2020 | 18 | 2020 |
| A geometry-based algorithm to provide guidance for electric vehicle charging Y Wang, J Bi, X Zhao, W Guan Transportation Research Part D: Transport and Environment 63, 890-906, 2018 | 14 | 2018 |
| Ensemble machine learning based driving range estimation for real‐world electric city buses by considering battery degradation levels Y Wang, C Lu, J Bi, Q Sai, Y Zhang IET Intelligent Transport Systems 15 (6), 824-836, 2021 | 10 | 2021 |
| Lifecycle cost optimization for electric bus systems with different charging methods: Collaborative optimization of infrastructure procurement and fleet scheduling Y Wang, C Lu, J Bi, Q Sai, X Qu IEEE Transactions on Intelligent Transportation Systems 24 (3), 2842-2861, 2022 | 9 | 2022 |
| 基于用户综合满意度的电动汽车充电诱导优化模型 毕军， 杜宇佳， 王永兴， 左小龙 清华大学学报 (自然科学版) 63 (11), 1750-1759, 2023 | 4 | 2023 |
| State of charge estimation for electric vehicle batteries based on a particle filter algorithm J Bi, Y Wang, X Zhao DEStech Transactions on Computer Science and Engineering, 382-6, 2017 | 4 | 2017 |
| A Charging Guidance Optimization Model for Electric Vehicle Travel by Considering Multi-Dimensional Preferences of Users X Zuo, J Bi, Y Wang, Y Du World Electric Vehicle Journal 14 (7), 171, 2023 | 2 | 2023 |
| Optimization modeling of spinning frame equipment resource allocation in a textile factory based on multi-objective S Wei, H Liu, J Bi, Y Zhang, Y Wang 2022 2nd International Conference on Computational Modeling, Simulation and …, 2022 | 2 | 2022 |
| Estimation of state-of-charge of li-ion batteries in ev using the genetic particle filter J Bi, H Gao, Y Wang, X Zhao IOP Conference Series: Earth and Environmental Science 81 (1), 012183, 2017 | 2 | 2017 |
| Optimal battery electric bus system planning considering heterogeneous vehicles, opportunity charging, and battery degradation Y Wang, F Liao, J Bi, C Lu Renewable Energy 237, 121596, 2024 | 1 | 2024 |
| A Hybrid Genetic Algorithm Based on Imitation Learning for the Airport Gate Assignment Problem C Ding, J Bi, Y Wang Entropy 25 (4), 565, 2023 | 1 | 2023 |
| 车辆分时租赁模式高峰时段用户预约分配模型 王永兴， 毕军， 孙欢欢 北京交通大学学报 41 (6), 76, 2017 | 1 | 2017 |
