Identifying influence factors and thresholds of the next day's pollen concentration in different seasons using interpretable machine learning

A comparative analysis of gradient boosting algorithms

Artificial Intelligence Review · 2020 · 2.5K citations · Full text

Computing, Computer Science, Machine Learning +10

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Katrin Seeher, Nicoline Schiess, Emma Nichols et al. · The Lancet Neurology · 2024 · 1.7K citations · Full text

Medicine, Neurology, Neuroscience +17

Dependence of radar backscatter on coniferous forest biomass

M.C. Dobson, F.T. Ulaby, T. Letoan et al. · IEEE Transactions on Geoscience and Remote Sensing · 1992 · 652 citations

Natural Resources, Ecology, Forestry +15

Changes to Airborne Pollen Counts across Europe

Chiara Ziello, Tim H. Sparks, Nicole Estrella et al. · PLoS ONE · 2012 · 373 citations · Full text

Life Sciences, Environmental Sciences, Immunology +15

Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine

Nanshan You, Jinwei Dong · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 306 citations

Agriculture, Agronomy, Crop Sciences +16