| Application of an improved gas-constrained source apportionment method using data fused fields: A case study in North Carolina, USA R Huang, Z Li, CE Ivey, X Zhai, G Shi, JA Mulholland, R Devlin, ... Atmospheric Environment 276, 119031, 2022 | 2 | 2022 |
| An Analysis of Prescribed Fire Activities and Emissions in the Southeastern United States from 2013 to 2020 Z Li, KJ Maji, Y Hu, A Vaidyanathan, SM O’Neill, MT Odman, AG Russell Remote Sensing 15 (11), 2725, 2023 | 1 | 2023 |
| Predicting PM2. 5 levels and exceedance days using machine learning methods Z Gao, K Do, Z Li, X Jiang, KJ Maji, CE Ivey, AG Russell Atmospheric Environment, 120396, 2024 | | 2024 |
| Impact of Prescribed Fire on Particulate Matter Levels in the Southeastern US from 2015 to 2020 MT Odman, KJ Maji, Z Li, Y Hu, AG Russell, A Vaidyanathan AGU23, 2023 | | 2023 |
| Studying the Emissions and Evolution of Smoke from Prescribed Fires Using Multiple Fixed Sites R El Asmar, RJ Weber, LG Huey, T Odman, D Tanner, Z Li AGU23, 2023 | | 2023 |
| Modeling the Regional Air Quality Impacts of Prescribed Burning at a Military Base in Southeastern United States Z Li, MT Odman, Y Hu, AG Russell 103rd AMS Annual Meeting, 2023 | | 2023 |
| Uncertainties in Prescribed Fire Emissions and Related PM2.5 Estimates in Southeastern United States MT Odman, KJ Maji, Z Li, Y Hu, AG Russell, J Stowell, C Milando, ... Fall Meeting 2022, 2022 | | 2022 |
