| An environment‐dependent probabilistic tropical cyclone model R Jing, N Lin Journal of Advances in Modeling Earth Systems 12 (3), e2019MS001975, 2020 | 51 | 2020 |
| A statistical investigation of the dependence of tropical cyclone intensity change on the surrounding environment N Lin, R Jing, Y Wang, E Yonekura, J Fan, L Xue Monthly Weather Review 145 (7), 2813-2831, 2017 | 32 | 2017 |
| Tropical cyclone intensity evolution modeled as a dependent hidden Markov process R Jing, N Lin Journal of Climate 32 (22), 7837-7855, 2019 | 29 | 2019 |
| Typhoon wind hazard estimation by full-track simulation with various wind intensity models M Huang, Q Wang, Q Li, R Jing, N Lin, L Wang Journal of Wind Engineering and Industrial Aerodynamics 218, 104792, 2021 | 20 | 2021 |
| A comparison of tropical cyclone projections in a high-resolution global climate model and from downscaling by statistical and statistical-deterministic methods R Jing, N Lin, K Emanuel, G Vecchi, TR Knutson Journal of Climate 34 (23), 9349-9364, 2021 | 18 | 2021 |
| Increasing typhoon impact and economic losses due to anthropogenic warming in Southeast China M Huang, Q Wang, M Liu, N Lin, Y Wang, R Jing, J Sun, H Murakami, ... Scientific reports 12 (1), 14048, 2022 | 16 | 2022 |
| Tropical cyclone full track simulation in the western North Pacific based on random forests M Huang, Q Wang, R Jing, W Lou, Y Hong, L Wang Journal of Wind Engineering and Industrial Aerodynamics 228, 105119, 2022 | 11 | 2022 |
| Global population profile of tropical cyclone exposure from 2002 to 2019 R Jing, S Heft-Neal, DR Chavas, M Griswold, Z Wang, A Clark-Ginsberg, ... Nature 626 (7999), 549-554, 2024 | 7 | 2024 |
| Infant and Neonatal Mortality During the Covid-19 Pandemic: An Interrupted Time Series Analysis From Five Low-and Middle-Income Countries Z Wagner, S Heft-Neal, Z Wang, R Jing, E Bendavid medRxiv, 2023 | 2 | 2023 |
| System and method for environment-dependent probabilistic tropical cyclone modeling N Lin, J Renzhi US Patent App. 17/629,581, 2022 | 1 | 2022 |
| A comparison of tropical cyclone projection in a high-resolution global climate model and downscaled by statistical and statistical-deterministic methods N Lin, R Jing, K Emanuel, GA Vecchi, TR Knutson AGU Fall Meeting Abstracts 2020, A138-03, 2020 | 1 | 2020 |
| Deepri: End-to-end prediction of tropical cyclone rapid intensification from climate data R Jing, N Lin, Y Zhang NeurIPS: Tackling Climate Change with Machine Learning, 2019 | 1 | 2019 |
| Statistical Investigation of the Dependence of Tropical Cyclone Intensity on the Surrounding Environment R Jing, N Lin AGU Fall Meeting Abstracts 2016, A43I-0369, 2016 | 1 | 2016 |
| Loss of Schooling from Tropical Cyclones: Evidence from 13 Low-and Middle-income Countries R Jing, S Heft-Neal, Z Wang, J Chen, M Qiu, I Opper, Z Wagner, ... EarthArXiv, 2024 | | 2024 |
| Impact of Tropical Cyclones on Infant Mortality in Low-and Middle-Income Countries Z Wang, S Heft-Neal, R Jing, A Clark-Ginsberg, E Bendavid, Z Wagner, ... ASHEcon 2024 Conference, 2024 | | 2024 |
| Uncertainties Inherent from Large-Scale Climate Projections in the Statistical Downscaling Projection of North Atlantic Tropical Cyclone Activity D Xi, N Lin, R Jing, P Harr, M Oppenheimer Journal of Climate, 2024 | | 2024 |
| Large indirect economic impacts of tropical cyclones shaped by disaster response C Callahan, J Baldwin, R Jing, M Burke, NS Diffenbaugh EarthArXiv, 2024 | | 2024 |
| Mortality Burden From Wildfire Smoke Under Climate Change M Qiu, J Li, CF Gould, R Jing, M Kelp, M Childs, M Kiang, S Heft-Neal, ... National Bureau of Economic Research, 2024 | | 2024 |
| Wildfire smoke exposure and mortality burden in the US under future climate change M Qiu, J Li, C Gould, R Jing, M Kelp, M Childs, J Wen, Y Xie, M Lin, ... EarthArXiv, 2024 | | 2024 |
| TC-GEN: Data-driven Tropical Cyclone Downscaling using Machine Learning-Based High-resolution Weather Model R Jing, J Gao, Y Cai, D Xi, Y Zhang, Y Fu, KA Emanuel, NS Diffenbaugh, ... Authorea Preprints, 2024 | | 2024 |
