简历 — 曹泽平

Cao Z, Guo L, Yu Z, Zhao X, Yin J, et al. (2026). Identify emission-abnormal heavy-duty diesel vehicles via on-board diagnostic urea analysis. Journal of Environmental Sciences. DOI: 10.1016/j.jes.2026.05.005

Sun B, Zhang Q, Cao Z, Zhi D, Mao H. (2025). Optimizing road attributes for urban traffic decarbonization: algorithm to trend analysis. Sustainable Energy Technologies and Assessments. DOI: 10.1016/j.seta.2025.104694

Gao J, Liu Y, Yang N, Cao Z, Zhao J, et al. (2025). Spatiotemporal patterns of super-emitting diesel vehicles: A scalable remote sensing framework for urban emission hotspot mitigation. Atmospheric Pollution Research. DOI: 10.1016/j.apr.2025.102782

Jia Z, Cao Z, Yin J, Wu L, Wei N, et al. (2025). A transferable vehicle energy consumption evaluation framework for quantifying vehicle electrification energy benefits. npj Sustainable Mobility and Transport. DOI: 10.1038/s44333-025-00040-w

Cao Z, Wang Y, Zhao X, Yin J, Jia Z, et al. (2025). Reconstructing missing NOx emissions in heavy-duty diesel vehicle OBD data: A machine learning approach. Journal of Hazardous Materials. DOI: 10.1016/j.jhazmat.2025.138619

Yin J, Zhou X, Wei W, Jia Z, Fang T, et al. (2025). Laboratory measurement and machine learning-based analysis of driving factors for brake wear particle emissions from light-duty electric vehicles and heavy-duty vehicles. Journal of Hazardous Materials. DOI: 10.1016/j.jhazmat.2025.137433

Cao Z, Shi K, Qin H, Xu Z, Zhao X, et al. (2025). A comprehensive OBD data analysis framework: Identification and factor analysis of high-emission heavy-duty vehicles. Environmental Pollution. DOI: 10.1016/j.envpol.2025.125751

Zhang Q, Yin J, Cao Z, Fang T, Peng J, et al. (2025). Size distribution, chemical composition and influencing factors of vehicle tire wear particles based on a novel test cycle. Environmental Research. DOI: 10.1016/j.envres.2025.120817

Jia Z, Yin J, Fang T, Jiang Z, Zhong C, et al. (2024). Machine learning helps reveal key factors affecting tire wear particulate matter emissions. Environment International. DOI: 10.1016/j.envint.2024.109224

Jia Z, Yin J, Cao Z, Wei N, Jiang Z, et al. (2024). Sustainable transportation emission reduction through intelligent transportation systems: Mitigation drivers, and temporal trends. Environmental Impact Assessment Review. DOI: 10.1016/j.eiar.2024.107767

Jia Z, Yin J, Cao Z, Wu L, Wei N, et al. (2024). Regional vehicle energy consumption evaluation framework to quantify the benefits of vehicle electrification in plateau city: A case study of Xining, China. Applied Energy. DOI: 10.1016/j.apenergy.2024.124626

Jia Z, Yin J, Cao Z, Wei N, Jiang Z, et al. (2024). Large-scale deployment of intelligent transportation to help achieve low-carbon and clean sustainable transportation. The Science of The Total Environment. DOI: 10.1016/j.scitotenv.2024.174724