| Atmospheric emission inventory of hazardous air pollutants from China's cement plants: Temporal trends, spatial variation characteristics and scenario projections S Hua, H Tian, K Wang, C Zhu, J Gao, Y Ma, Y Xue, Y Wang, S Duan, ... Atmospheric Environment 128, 1-9, 2016 | 140 | 2016 |
| Using convolutional neural networks for streamflow projection in California S Duan, P Ullrich, L Shu Frontiers in Water 2, 28, 2020 | 50 | 2020 |
| Prediction of Atmospheric Carbon Dioxide Radiative Transfer Model Based on Machine Learning S Duan, Y Liu, L Li, Y Pan Frontiers in Computing and Intelligent Systems 6 (3), 132-136, 2023 | 21 | 2023 |
| Grasp and Inspection of Mechanical Parts based on Visual Image Recognition Technology Y Liu, S Duan, Z Shen, Z He, L Li Journal of Theory and Practice of Engineering Science 3 (12), 22-28, 2023 | 19 | 2023 |
| Using temporal deep learning models to estimate daily snow water equivalent over the Rocky Mountains S Duan, P Ullrich, M Risser, A Rhoades Water Resources Research 60 (4), e2023WR035009, 2024 | 5 | 2024 |
| A comprehensive investigation of machine learning models for estimating daily snow water equivalent over the Western US S Duan, P Ullrich Authorea Preprints, 2022 | 5 | 2022 |
| AutoML-based drought forecast with meteorological variables S Duan, X Zhang arXiv preprint arXiv:2207.07012, 2022 | 4 | 2022 |
| AutoML-based Almond Yield Prediction and Projection in California S Duan, S Wu, E Monier, P Ullrich arXiv preprint arXiv:2211.03925, 2022 | 1 | 2022 |
| 北京市大气环境质量的模糊数学综合评价方法的应用 郭力嘉， 段事恒， 徐琳瑜 西南师范大学学报: 自然科学版 42 (11), 130-136, 2017 | 1 | 2017 |
| AutoML-Based Drought Forecasting with Meteorological Variables S Duan, PA Ullrich, G Pallotta Fall Meeting 2022, 2022 | | 2022 |
| Meteorological Drivers of North American Monsoon Extreme Precipitation Events S Duan, P Ullrich, WR Boos Authorea Preprints, 2022 | | 2022 |
| Exploring variability in seasonal average and extreme precipitation using unsupervised machine learning. M Wehner, M Risser, P Ullrich, S Duan Artificial Intelligence for Earth System Predictability (AI4ESP …, 2021 | | 2021 |
| Predicting daily streamflow with a dilated convolutional neural network. S Duan, PA Ullrich, L Shu, D Hall AGU Fall Meeting Abstracts 2019, H33L-2133, 2019 | | 2019 |
Paul UllrichProfessor of Atmospheric Science, University of California DavisVerified email at ucdavis.edu
