Qin, S., Fu, Q., Zhu, H., Xiang, S. and Liu, H.*, 2026. Is Plug-in Hybrid Vehicle a Green Mode in Daily Use?. Transport Policy, p.104005. (SCI JCR Q1)
Gao, P., Chen, J., Huang, C. and Liu, H.*, 2026. Capturing macro trend and uncertainty in speed-related CO2 emission rates for heavy-duty diesel trucks. International Journal of Transportation Science and Technology.
Nie, Q., Zhang, B., Shan, X. and Liu, H.*, 2025. Hierarchical Quantification of CO2 in Transportation Infrastructure Maintenance: Identifying Key Contributor and Targeting Reduction Department. Transportation Research Record, p.03611981251368320. (SCI)
Shi, T., Tu, M., Li, Y., Liu, H. and Gruyer, D., 2025. Revealing the built environment impacts on truck emissions using interpretable machine learning. Transportation Research Part D: Transport and Environment, 141, p.104662. (SCI JCR Q1)
Chen, Q., Wang, A., Wang, S., Liu, H., Gong, L. and Tu, R., 2025. Modeling urban brake wear particle emissions: A ride-hailing case in Chengdu, China. Transportation Research Part D: Transport and Environment, 139, p.104541. (SCI JCR Q1)
Lv, C., Jin, Y. and Liu, H., 2025. Micro-to Macro-Level Fuel Consumption Modeling of Diesel Heavy-Duty Trucks: A Hierarchical Bayesian Approach. Transportation Research Record, p.03611981251368833. (SCI)
Liu, H., Gao, P., Xiang, S., Zhu, H., Chen, J. and Fu, Q., (2025). A Python toolkit for integrating geographic information system into regulatory dispersion models for refined pollution modeling. Environmental Modelling & Software, 183, p.106219. (SCI JCR Q1)
Wang, Y., Lv, C., Nie, Q. and Liu, H.*, (2024). Analyzing the Impact of Road Accidents on Carbon Dioxide Emissions in Freeway Traffic: A Simulation and Statistical Modeling Approach. Sustainability, 16(5), p.2168. (SCI)
Chen, X., Hu, X. and Liu, H.*, (2024). Low-Carbon Route Optimization Model for Multimodal Freight Transport Considering Value and Time Attributes. Socio-Economic Planning Sciences, p.102108. (SCI JCR Q1)
Lu, H., Kim, D., Liu, H., Xia, T., Reichard, W., Rodgers, M.O. and Guensler, R., (2024). Sensitivity of AERMOD (V21112) RLINEXT dispersion model outputs by source type to variability in single noise barrier height and separation distance. Atmospheric Pollution Research, 15(12), p.102318. (SCI JCR Q2)
Xiang, S., Zhang, S., Brimblecombe, P., Yu, Y.T., Noll, K.E., Liu, H., Wu, Y. and Hao, K., (2024). An Integrated Field Study of Turbulence and Dispersion Variations in Road Microenvironments. Environmental Science & Technology. (SCI JCR Q1)
Wang, S., Qin, T., Tu, R., Li, T., Chen, G.I., Green, D.C., Zhang, X., Feng, J., Liu, H., Hu, M. and Fu, Q., (2024). Indoor air quality in subway microenvironments: Pollutant characteristics, adverse health impacts, and population inequity. Environment International, 190, p.108873.(SCI JCR Q1)
Lu, H., Liu, H., Kim, D., Xia, T., Dai, Z., Reichard, W., Zhao, Y., Guin, A., Rodgers, M.O. and Guensler, R., (2023). Comparative Analysis of AERMOD-Predicted Pollutant Concentrations by Input Source Type in Atlanta, GA.Transportation Research Record,2677(3), pp.1321-1339. (SCI)
Zhang, Z., Liu, H., Lei, M., Yan, X., Wang, M. and Hu, J., (2023). Review on the impacts of cooperative automated driving on transportation and environment.Transportation Research Part D: Transport and Environment,115, p.103607. (SCI JCR Q1)
Liu, H., Kim, D., Li, H., Rodgers, M.O. and Guensler, R., (2022). Synthetic control methods for estimating the effect of purchase incentives on plug-in electric vehicles sales in the United States.Transportation, pp.1-30. (SCI JCR Q1)
Dai, Z., Liu, H., Rodgers, M.O. and Guensler, R., (2022). Electric vehicle market potential and associated energy and emissions reduction benefits.Applied Energy,322, p.119295. (SCI JCR Q1)
Liu, H., Dai, Z., Rodgers, M., Guensler, R. (2022). Equity Issues Associated with U.S. Plug-In Electric Vehicle Income Tax Credits. Transportation Research Part D: Transport and Environment, 102, 103159. (SCI JCR Q1)
Wang, K., Liu, H.*, Cheng, L., Bian, Z., & Circella, G. (2022). Assessing the Role of Shared Mobility Services in Reducing Travel-related Greenhouse Gases (GHGs) Emissions: Focusing on America’s Young Adults. Travel Behaviour and Society, 26, 301-311. (SCI JCR Q1)
Kim, D., Liu, H.*, Xu, X., Lu, H., Wayson, R., Rodgers, M and Guensler, R. (2021). Distributed Computing Methodology for Region-wide Line Source Dispersion Modeling. Computer-Aided Civil and Infrastructure Engineering. 36(3), 331-345. (SCI JCR Q1)
Xu, X., Aziz, H.A., Liu, H., Rodgers, M.O. and Guensler, R., (2020). A Scalable Energy Modeling Framework for Electric Vehicles in Regional Transportation Networks. Applied Energy, 269, p.115095. (SCI JCR Q1)
Kim, D., Liu, H.*, Rodgers, M. and Guensler, R. (2020). Development of Roadway Link Screening Model for Regional-Level Near-Road Air Quality Analysis: A Case Study for Particulate Matter. Atmospheric Environment, p.117677. https://doi.org/10.1016/j.atmosenv.2020.117677 (SCI JCR Q1)
Liu, H.*, Rodgers, M., Liu, F. and Guensler, R. (2020). Bayesian Approach in Estimating the Road Grade Impact on Vehicle Speed and Acceleration on Freeways. Transportmetrica A: Transport Science 16 (3), 602-625. https://doi.org/10.1080/23249935.2020.1722280 (SCI JCR Q1)
Liu, H.*, Rodgers, M., Guensler, R. (2019). The Impact of Road Grade on Vehicle Accelerations Behavior, PM2.5 Emissions, and Dispersion Modeling. Transportation Research Part D: Transport and Environment, 75, 297-319. doi.org/10.1016/j.trd.2019.09.006 (SCI JCR Q1)
Liu, H. and Kim, D.* (2019). Simulating the Uncertain Environmental Impact of Freight Trucks Shifting Programs. Atmospheric Environment 214 (116847) 1-17. https://doi.org/10.1016/j.atmosenv.2019.116847 (SCI JCR Q1)
Liu, H.*, Rodgers, M., Guensler, R. (2019). Impact of Road Grade on Vehicle Speed-Acceleration Distribution, Emissions and Dispersion Modeling on Freeways. Transportation Research Part D: Transport and Environment, 69, 107-122. DOI.org/10.1016/j.trd.2019.01.028 (SCI JCR Q1)
Kim, D.*, Ko, J., Xu, X., Liu, H., Rodgers, M. and Guensler, R. (2019). Evaluating the Environmental Impacts of Median Bus Lanes: A Microscopic Simulation Approach. Transportation Research Record: Journal of the Transportation Research Board, 2673(4), 663-673 (SCI JCR Q2)
Liu, H., Guensler, R., Lu, H.*, Xu, Y., Xu, X., Rodgers, M. (2019).MOVES-Matrix for High-Performance On-Road Emission Rate Model Applications. Journal of Air & Waste Management Association, 67(7), 763-775. DOI: 10.1080/10962247.2017.1287788 (SCI JCR Q2)
Liu, H.*, Li, H., Rodgers, M., Guensler, R., (2018). Development of Road Grade Data Using the United States Geological Survey Digital Elevation Model. Transportation Research Part C: Emerging Technologies, 92, 243-257. doi.org/10.1016/j.trc.2018.05.004 (SCI JCR Q1)
Xu, X.*, Li, H., Liu, H., Rodgers, M., Guensler, R. (2018).Evaluation of Transit Eco-driving in Rural, Suburban, and Urban Environments. Transportation Research Record: Journal of the Transportation Research Board. 2672(8), 152-164. DOI: 10.1177/0361198118797778 (SCI JCR Q2)
Xu, X.*, Liu, H., Li, H., Rodgers, M., Guensler, R. (2018).Integrating Engine Start, Soak, Evaporative, and Truck Hoteling Emissions into MOVES-Matrix. Transportation Research Record: Journal of the Transportation Research Board. 2672 (25), 111-122. DOI: 10.1177/0361198118797208 (SCI JCR Q2)
Guensler, R., Liu, H.*, Xu, Y., Alper, A., Kim, D., Hunter, M., Rodgers. M. (2017). Energy Consumption and Emission Modeling of Individual Vehicles Using MOVES-Matrix. Transportation Research Record: Journal of the Transportation Research Board, No. 2627, 93-102. doi: 10.3141/2627-11. (SCI JCR Q2)
Xu, Y., Liu, H.*, Rodgers, M., Guin, A., Hunter, M., Sheikh, A., Guensler, R. (2017). Understanding the Emission Impacts of HOV to HOT Lane Conversions: Experience from Atlanta, GA. Journal of the Air & Waste Management Association, 67(8), 910-922. doi: 10.1080/10962247.2017.1302518 (SCI JCR Q2)
Liu, H.*, Xu, X., Rodgers, M., Xu, Y., Guensler, R. (2017).MOVES-Matrix and Distributed Computing for Microscale Line Source Dispersion Analysis . Journal of the Air & Waste Management Association, 67(7), 763-775. doi: 10.1080/10962247.2017.1287788. (SCI JCR Q2)
Liu, H.*, Xu, Y., Stockwell, N., Rodgers M., Guensler, R. (2016). A Comparative Life-cycle Energy and Emissions Analysis for Intercity Passenger Transportation in the U.S. by Aviation, Intercity Bus, and Automobile. Transportation Research Part D: Transport and Environment, 48, 267-283. (SCI JCR Q1)
Liu, H.*, Sonntag, D., Brzezinski, D., Fulper, C., Hawkins, D., Warila, J. (2016). Operations and Emissions Characteristics of Light-Duty Vehicles on Ramps. Transportation Research Record: Journal of the Transportation Research Board, 2570, 1-11. (SCI JCR Q2)
Li, H.*, H. Liu, Y. Xu, M.O. Rodgers, R. Guensler (2016). Performance of Multiple Alternatives to Reduce Carbon Emissions for Transit Fleets: A Real-world Operations Perspective. Energy Procedia, 88, 908-914. (SCI)
Xu, Y.*, Li, H., Liu, H., Rodgers M., Guensler, R. (2016).Eco-driving for Transit: An Effective Strategy to Conserve Fuel and Emissions. Applied Energy, 194(15), 784-797. (SCI JCR Q1)
Xu, X.*, Liu, H., Xu, Y., Hunter, M., Rodgers M., Guensler, R. (2016). Estimating Project-Level Vehicle Emissions with VISSIM and MOVES-Matrix. Transportation Research Record: Journal of the Transportation Research Board, 2570, 107-117. (SCI JCR Q2)
Liu, H. *, Xu, Y., Rodgers M., Guensler, R. (2015). Developing Vehicle Classification Inputs for Project-Level MOVES Analysis. Transportation Research Record: Journal of the Transportation Research Board, 2503, 81-90. (SCI JCR Q2)
Xu, Y.*, Gbologah, F.E., Lee, D.Y., Liu, H., Rodgers M., Guensler, R. (2015). Assessment of Alternative Fuel and Powertrain Transit Bus Options Using Real-world Operation Data: Life-cycle Fuel and Emission Modeling. Applied Energy, 154, 143-159. (SCI JCR Q1)
Pu, Y., Yang, C.*, Liu, H., Chen, Z., Chen, A. (2015). Impact of License Plate Restriction Policy on Emission Reduction in Hangzhou Using a Bottom-up Approach. Transportation Research Part D: Transport and Environment, 34, 281-292. (SCI JCR Q1)
Wang, X.*, Liu, H., Yu, R., Deng, B., Chen, X., Wu, B. (2014). Exploring Operating Speeds on Urban Arterials Using Floating Car Data: Case Study in Shanghai. Journal of Transportation Engineering, 140 (9), 04014044. (SCI JCR Q2)
Liu, H., Chen, X.*, Wang, Y., Han, S. (2013). Vehicle Emission and Near-road Air Quality Modeling in Shanghai, China: Based on Taxi GPS Data and MOVES Revised Emission Inventory. Transportation Research Record: Journal of the Transportation Research Board, 2340, 33-48. (SCI JCR Q2)