Publications
Manuscripts in Progress or Under Review
- [8] Shen, S., van Donkelaar, A., Jacobs, N., Li, C., Zhang, Y., and Martin, R. V.: Estimation of Daily 1-km Resolution Fine Particulate Matter Across North America by Including Geophysical Process-Based Information in Deep Learning with Uncertainty Quantification. (In preparation)
- [7] Zhang, Y., Li, C., Shen, S., van Donkelaar, A., Singh, I., Shah, V., Luo, G., Zhang, D., Li, Y., and Martin, R. V.: Evolution of the Chemical Composition of Global PM₂.₅ Exposure over 2003–2023. (Under review)
Peer-reviewed Journal Articles
2026
- [6] Yan, Y., Shen, S., Zhang, Y., et al.: A Global Dataset of Surface NO₂ Estimation Based on Machine Learning Using Process-based Information. Scientific Data (2026). https://doi.org/10.1038/s41597-026-08329-2
- [5] Seyinde, D., Dey, S., Shen, S., van Donkelaar, A., and Martin, R. V.: Association between Ambient PM₂.₅ Exposure and Birth Outcomes in Nigeria. Environmental Research Letters (2026). https://doi.org/10.1088/1748-9326/ae7b63
- [4] Taylor, B. K., Clarke-Smith, M. N., Parolek, G. E., Rasmussen, S. C., Greenwood, S. L., Pulliam, H. R., Smith, O. V., Wilson, J. P., van Donkelaar, A., Li, C., Shen, S., Martin, R. V., MacDonald, B., Monreal, T. K., and Salminen, L. E.: The Unique Effects of Chronic Exposure to Ambient Fine Particulate Matter and Indoor Radon on Subcortical Brain Morphology in Youth. NeuroToxicology (2026). https://doi.org/10.1016/j.neuro.2026.103417
- [3] Shen, S., van Donkelaar, A., Jacobs, N., Li, C., and Martin, R. V.: Enhancing Estimation of Fine Particulate Matter Chemical Composition across North America by Including Geophysical A Priori Information in Deep Learning with Uncertainty Quantification. ACS ES&T Air (2026). https://doi.org/10.1021/acsestair.5c00251
2024
- [2] van Donkelaar, A., Ford, B., Li, C., Pappin, A. J., Shen, S., Zhang, D., and Martin, R. V.: North American Fine Particulate Matter Chemical Composition for 2000–2022 from Satellites, Models, and Monitors: The Changing Contribution of Wildfires. ACS ES&T Air (2024). https://doi.org/10.1021/acsestair.4c00151
- [1] Shen, S., Li, C., van Donkelaar, A., Jacobs, N., Wang, C., and Martin, R. V.: Enhancing Global Estimation of Fine Particulate Matter Concentrations by Including Geophysical a Priori Information in Deep Learning. ACS ES&T Air (2024). https://doi.org/10.1021/acsestair.3c00054