| Machine learning applications for earth observation DJ Lary, GK Zewdie, X Liu, D Wu, E Levetin, RJ Allee, N Malakar, ... Earth observation open science and innovation 165, 2018 | 81 | 2018 |
| Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data GK Zewdie, DJ Lary, X Liu, D Wu, E Levetin Environmental monitoring and assessment 191, 1-9, 2019 | 27 | 2019 |
| Using machine learning to estimate atmospheric Ambrosia pollen concentrations in Tulsa, OK X Liu, D Wu, GK Zewdie, L Wijerante, CI Timms, A Riley, E Levetin, ... Environmental Health Insights 11, 1178630217699399, 2017 | 27 | 2017 |
| Using machine learning to understand the temporal morphology of the PM2.5 annual cycle in East Asia D Wu, DJ Lary, GK Zewdie, X Liu Environmental monitoring and assessment 191 (Suppl 2), 272, 2019 | 17 | 2019 |
| Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters GK Zewdie, X Liu, D Wu, DJ Lary, E Levetin Environmental monitoring and assessment 191, 1-11, 2019 | 14 | 2019 |
| Insights Into the Morphology of the East Asia PM2.5 Annual Cycle Provided by Machine Learning D Wu, GK Zewdie, X Liu, MA Kneen, DJ Lary Environmental health insights 11, 1178630217699611, 2017 | 13 | 2017 |
| Machine learning, big data, and spatial tools: A combination to reveal complex facts that impact environmental health DJ Lary, LOH Wijeratne, GK Zewdie, D Kiv, D Wu, FS Faruque, S Talebi, ... Geospatial Technology for Human Well-Being and Health, 219-241, 2021 | 2 | 2021 |
| Applying machine learning and deep learning to forecast allergic pollen using environmental, land surface and NEXRAD radar parameters G Zewdie, D Lary, X Liu, D Wu, E Levetin Authorea Preprints, 2022 | | 2022 |
