DIGIT Lab @ University of Alabama

  1. Nguyen, Q.C., Tasdizen, T., Alirezaei, M., Mane, H., Yue, X., Merchant, J.S., Yu, W., Drew, L., Li, D. and Nguyen, T.T. (2024). “Neighborhood built environment, obesity, and diabetes: A Utah siblings study”. SSM-Population Health, 26, 101670.
  2. Khan, S.N., Li, D., & Maimaitijiang, M. “Using Gross Primary Production Data and Deep Transfer Learning for Crop Yield Prediction in the US Corn Belt”. International Journal of Applied Earth Observation and Geoinformation.
  3. Nguyen, Q. C., Alirezaei, M., Yue, X., Mane, H., Li, D., Zhao, L., … & Tasdizen, T. (2024). Leveraging computer vision for predicting collision risks: a cross-sectional analysis of 2019–2021 fatal collisions in the USA. Injury prevention.
  4. Andre, E., Li, Y., Li, D., Donley, A., & Carter, S. (2024). “Food Insecurity among University Students and the Role of Food Assistance Programs Amid the Global Pandemic”. Social Sciences 13 (1), 38.
  5. Nguyen, T., Merchant, J., Yue, X., Mane, H., Wei, H., Gowda, K., Makres, K., Najib, C., Nghiem, H., Hswen, Y., Criss, S., Li, D., Glymour, M., Allen, A., & Nguyen, Q. (2024). “A Decade of Tweets: Visualizing Racial Sentiments towards Minoritized Groups in the United States between 2011-2021”. Epidemiology, 35(1): 51–59.

DIGIT Lab @ South Dakota State University

  1. Khan, S.N., Maimaitijiang, M., Millet, B., Paheding, S., Li, D., Caffé, M., & Kovács, P. (2023). “Simultaneously Estimating Crop Yield and Seed Composition Using Multitask Learning From UAV Multispectral Data”. 2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS doi: 10.1109/IGARSS52108.2023.10282273
  2. Li, D.* (2022). “A data-driven approach to improving evacuation time estimates during wildfires for communities with part-time residents in the wildland-urban interface”. International Journal of Disaster Risk Reduction, 82, 103363.  
  3. Li, Y., Li, D., & King, C. (2022). “Food Insufficiency among Job-Loss Households during the Pandemic: The Role of Food Assistance Programs”. Sustainability, 14(22), 15433.  
  4. Jiang, Y., Huang, Y., Liu, J., Li, D., Li, S., Nie, W., & Chung I. (2022). “Automatic Volume Calculation and Mapping of Construction and Demolition Debris Using Drones, Deep Learning, and GIS”. Drones, 6(10), 279.                  
  5. Yue, X., Antonietti, A., Alirezaei, M., Tasdizen, T., Li, D., Nguyen, L., Mane, H., Sun, A., Hu, M., Whitaker, R., & Nguyen, Q. (2022). “Using Convolutional Neural Networks to derive neighborhood built environments from Google Street View images and examine their associations with health outcomes”. International Journal of Environmental Research and Public Health, 19(19), 12095. 
  6. Ketchpaw, A.R., Li, D.*, Khan, S.N., Jiang, Y., Li, Y, & Zhang, L. (2022). “Using structure location data to map the wildland-urban interface in Montana, USA”. Fire, 5(5), 129. 
  7. Jiang, Y., Han, S., Li, D., Bai, Y., & Wang, M. (2022). “Automatic Sidewalk Trip Hazard Detection and Mapping Using Mobile Devices and Deep Learning”. Expert Systems with Applications, 227, 117980.
  8. Khan, S.N., Li, D.*, & Maimaitijiang, M. (2022). “A Geographically Weighted Random Forest Approach to Predict Corn Yield in the US Corn Belt”. Remote Sensing, 14 (12), 2843. 
  9. Nguyen, Q., Belnap, T., Dwivedi, P., Deligani, A., Kumar, A., Li, D., Whitaker, R., Keralis, J., Mane, H., Yue, X., Nguyen, T., Tasdizen, T., & Brunisholz, K. (2022). “Google Street View images as predictors of patient health outcomes, 2017-2019”. Big Data and Cognitive Computing, 6(1), 15. 
  10. Li, Y., Wang, S., Cao, G., Li, D., & Ng, B.P. (2021). “Disentangling Racial/Ethnic and Income Disparities of Food Retail Environments: Impacts on Adult Obesity Prevalence”. Applied Geography, 137, 102607. 
  11. Wang, T., Jin, H., Fan, Y., Obembe, O., and Li, D. (2021). “Farmers’ adoption and perceived benefits of diversified crop rotations in the margins of Corn Belt”. Journal of Environmental Management, 293, 112903.
  12. Cova, T.J., Li, D., Siebeneck, L.K., & Drews, F. (2021). “Towards simulating dire wildfire scenarios”. Natural Hazards Review, 22(3). 
  13. Li, D.*, Li, Y., Nguyen, Q.C., & Siebeneck, L.K. (2020). “A study on the GIS Professional (GISP) certification program in the U.S.”. ISPRS International Journal of Geo-Information, 9(9), 523. 
  14. Li, D.*, Cova, T.J., Dennison, P.E., Wan, N., Nguyen, Q.C., & Siebeneck, L.K. (2019). “Why do we need a national address point database to improve wildfire public safety in the U.S.?”. International Journal of Disaster Risk Reduction, 39, 101237. 
  15. Li, D.*, Cova, T.J., & Dennison, P.E. (2019). “Setting wildfire evacuation triggers by coupling fire and traffic simulation models: A spatiotemporal GIS approach”. Fire Technology, 55(2), 617–642.
  16. Xu, Z., Chau, S., Ruzzenenti, F., Connor, T., Li, Y., Tang, Y., Li, D., Gong, M., & Liu, J. (2019). Evolution of multiple global virtual material flows. Science of the Total Environment, 658, 659-668.
  17. Meng, H., Kath, S., Li, D., & Nguyen, Q. (2017). “National substance use patterns on Twitter”. PLOS ONE, 12(11), e0187691.
  18. Nguyen, Q. C., McCullough, M., Meng, H. W., Paul, D., Li, D., Kath, S., … & Li, F. (2017). Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015–2016. American Journal of Public Health, (0), e1-e7.
  19. Li, D.*, Cova, T.J., & Dennison, P.E. (2017). “Using reverse geocoding to identify prominent wildfire evacuation trigger points”. Applied Geography, 87, 14-27. 
  20. Xu, Z., Tang, Y., Connor, T., Li., D., Li., Y., & Liu, J. (2017). “Climate variability and trends at a national scale”. Scientific Reports, 7, Article number: 3258.  
  21. Nguyen, Q., Meng, H., Li, D., Kath, S., et al. (2017). “Social media indicators of the food environment and state health outcomes”. Public Health, 148, 120-128. 
  22. Cova, T.J., Dennison, P.E., Li, D., Siebeneck, L.K., Drews, F.A., & Lindell, M.K. (2017). “Warning triggers in environmental hazards: who should be warned to do what and when?” Risk Analysis, 37(4), 601-611.