| Building a national neighborhood dataset from geotagged Twitter data for indicators of happiness, diet, and physical activity QC Nguyen, D Li, HW Meng, S Kath, E Nsoesie, F Li, M Wen JMIR public health and surveillance 2 (2), e5869, 2016 | 110 | 2016 |
| Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity QC Nguyen, S Kath, HW Meng, D Li, KR Smith, JA VanDerslice, M Wen, ... Applied Geography 73, 77-88, 2016 | 102 | 2016 |
| Setting Wildfire Evacuation Triggers by Coupling Fire and Traffic Simulation Models: A Spatiotemporal GIS Approach D Li, TJ Cova, PE Dennison Fire Technology 55 (2), 617–642, 2019 | 86 | 2019 |
| Warning triggers in environmental hazards: Who should be warned to do what and when? TJ Cova, PE Dennison, D Li, FA Drews, LK Siebeneck, MK Lindell Risk analysis 37 (4), 601-611, 2017 | 68 | 2017 |
| Climate variability and trends at a national scale Z Xu, Y Tang, T Connor, D Li, Y Li, J Liu Scientific Reports 7 (1), 3258, 2017 | 67 | 2017 |
| A household-level approach to staging wildfire evacuation warnings using trigger modeling D Li, TJ Cova, PE Dennison Computers, Environment and Urban Systems 54, 56-67, 2015 | 66 | 2015 |
| Social media indicators of the food environment and state health outcomes QC Nguyen, H Meng, D Li, S Kath, M McCullough, D Paul, ... Public health 148, 120-128, 2017 | 59 | 2017 |
| Farmers’ adoption and perceived benefits of diversified crop rotations in the margins of US Corn Belt T Wang, H Jin, Y Fan, O Obembe, D Li Journal of Environmental Management 293, 112903, 2021 | 57 | 2021 |
| A geographically weighted random forest approach to predict corn yield in the US corn belt SN Khan, D Li, M Maimaitijiang Remote Sensing 14 (12), 2843, 2022 | 47 | 2022 |
| Geotagged US tweets as predictors of county-level health outcomes, 2015–2016 QC Nguyen, M McCullough, H Meng, D Paul, D Li, S Kath, G Loomis, ... American journal of public health 107 (11), 1776-1782, 2017 | 45 | 2017 |
| National substance use patterns on Twitter HW Meng, S Kath, D Li, QC Nguyen PLoS One 12 (11), e0187691, 2017 | 37 | 2017 |
| Evolution of multiple global virtual material flows Z Xu, SN Chau, F Ruzzenenti, T Connor, Y Li, Y Tang, D Li, M Gong, J Liu Science of the Total Environment 658, 659-668, 2019 | 31 | 2019 |
| Automatic volume calculation and mapping of construction and demolition debris using drones, deep learning, and GIS Y Jiang, Y Huang, J Liu, D Li, S Li, W Nie, IH Chung Drones 6 (10), 279, 2022 | 28 | 2022 |
| Using reverse geocoding to identify prominent wildfire evacuation trigger points D Li, TJ Cova, PE Dennison Applied geography 87, 14-27, 2017 | 25 | 2017 |
| Google street view images as predictors of patient health outcomes, 2017–2019 QC Nguyen, T Belnap, P Dwivedi, AHN Deligani, A Kumar, D Li, ... Big data and cognitive computing 6 (1), 15, 2022 | 21 | 2022 |
| Using convolutional neural networks to derive neighborhood built environments from Google Street View images and examine their associations with health outcomes X Yue, A Antonietti, M Alirezaei, T Tasdizen, D Li, L Nguyen, H Mane, ... International Journal of Environmental Research and Public Health 19 (19), 12095, 2022 | 18 | 2022 |
| Toward simulating dire wildfire scenarios TJ Cova, D Li, LK Siebeneck, FA Drews Natural Hazards Review 22 (3), 06021003, 2021 | 15 | 2021 |
| Geocoding and Reverse Geocoding D Li Comprehensive Geographic Information Systems 1, 95-109, 2018 | 15 | 2018 |
| Automatic concrete sidewalk deficiency detection and mapping with deep learning Y Jiang, S Han, D Li, Y Bai, M Wang Expert Systems with Applications 207, 117980, 2022 | 14 | 2022 |
| Why do we need a national address point database to improve wildfire public safety in the US? D Li, TJ Cova, PE Dennison, N Wan, QC Nguyen, LK Siebeneck International journal of disaster risk reduction 39, 101237, 2019 | 14 | 2019 |
Quynh NguyenIntramural Investigator, National Institute of Nursing ResearchAdresse e-mail validée de nih.gov
