| A data-driven optimization-based approach for siting and sizing of electric taxi charging stations J Yang, J Dong, L Hu Transportation Research Part C: Emerging Technologies 77, 462-477, 2017 | 216 | 2017 |
| Modeling charging behavior of battery electric vehicle drivers: A cumulative prospect theory based approach L Hu, J Dong, Z Lin Transportation Research Part C: Emerging Technologies 102, 474-489, 2019 | 138 | 2019 |
| Analyzing battery electric vehicle feasibility from taxi travel patterns: The case study of New York City, USA L Hu, J Dong, Z Lin, J Yang Transportation Research Part C: Emerging Technologies 87, 91-104, 2018 | 98 | 2018 |
| Energy-efficient adaptive cruise control for electric connected and autonomous vehicles C Lu, J Dong, L Hu IEEE Intelligent Transportation Systems Magazine 11 (3), 42-55, 2019 | 61 | 2019 |
| Predicting market potential and environmental benefits of deploying electric taxis in Nanjing, China J Yang, J Dong, Z Lin, L Hu Transportation Research Part D: Transport and Environment 49, 68-81, 2016 | 59 | 2016 |
| Design government incentive schemes for promoting electric taxis in China J Yang, J Dong, L Hu Energy policy 115, 1-11, 2018 | 44 | 2018 |
| An ecological adaptive cruise control for mixed traffic and its stabilization effect C Lu, J Dong, L Hu, C Liu IEEE Access 7, 81246-81256, 2019 | 34 | 2019 |
| The impact of reliable range estimation on battery electric vehicle feasibility J Dong, X Wu, C Liu, Z Lin, L Hu International Journal of Sustainable Transportation 14 (11), 833-842, 2020 | 27 | 2020 |
| An artificial-neural-network-based model for real-time dispatching of electric autonomous taxis L Hu, J Dong IEEE Transactions on Intelligent Transportation Systems 23 (2), 1519-1528, 2020 | 13 | 2020 |
| Ecological adaptive cruise control in a traffic stream with mixed autonomous and manually driven vehicles C Lu, L Hu, J Dong Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 8 | 2018 |
| Network-wide traffic signal optimization under connected vehicles environment L Hu, L Wang, Z Zhou, Z Sheng, Y Zhang 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 7 | 2021 |
| An optimal resource allocator of elastic training for deep learning jobs on cloud L Hu, J Zhu, Z Zhou, R Cheng, X Bai, Y Zhang arXiv preprint arXiv:2109.03389, 2021 | 6 | 2021 |
| Estimating Energy Efficiency of Connected and Autonomous Vehicles in a Mixed Fleet J Dong, C Lu, L Hu Iowa State University. Center for Transportation Research and Education, 2018 | 5 | 2018 |
| Investigation of the link between macroscopic traffic flow characteristics and individual vehicle fuel consumption J Dong, L Hu Iowa State University. Center for Transportation Research and Education, 2017 | 5 | 2017 |
| A calculation model for greenhouse gas emission impacts of electric vehicle carsharing L Hu, M Wang, D Kong Low-carbon City and New-type Urbanization: Proceedings of Chinese Low-carbon …, 2015 | 3 | 2015 |
| Data-driven analyses of future electric personal mobility L Hu Iowa State University, 2019 | 1 | 2019 |
| System, method, and medium for elastic allocation of resources for deep learning jobs L Hu, J Zhu, Z Zhou, R Cheng, Y Zhang WO Patent WO2022246833A1, 2022 | | 2022 |
Jing Dong-O'BrienAssociate Professor, Iowa State UniversityVerified email at iastate.edu
