Under Review:
22. Alexander-Eitzman, B., Quattro, C., Hege, A., and Wang, H. Modelling community problem solving: Applying conceptual and computational strategies to wicked problems. Journal of Social Work Practice
21. Quattro, C. and Wang, H. The Hidden Costs of Zoning; Exploring the Link Between Residential Districts and Air Quality. Journal of Planning Education and Research
20. Qu, S., Chen, J., and Wang, H*. Transformation of the relationship between low-carbon development and intensive urban land use. Sustainable Cities and Society
In Preparation:
19. Wang, H., Zhang, B., Qu, S., Wang, Z., and Huang, L. Detecting the spatial variation of vegetation change at regional scale based on historical and contemporary aerial photography
Refereed Publications:
18. Wang, H., Wang, Z., Qu, S., Que, X., & Yao, Z. (2025). Unraveling the link between riparian vegetation health and drought severity. Ecological Indicators, 178, 113979. https://doi.org/10.1016/j.ecolind.2025.113979
17. Wang, Z., Fan, C., Que, X., Liao, F. H., Ma, X., & Wang, H. (2024). Multi-scale analysis of urban forests and socioeconomic patterns in a desert city, Phoenix, Arizona. Scientific Reports, https://doi.org/10.1038/s41598-024-74208-8
16. Qu, S., Wang, H., Hu, Z., Wang, Z., and Hu, S. Mixed-use urban land parcels identification integrating geospatial data and machine learning. Geo-spatial Information Science https://doi.org/10.1080/10095020.2024.2374996
15. Wang, H., Chen, M., Wang, Z., Huang, L., Caudill, C. and Qu, S. How does extreme point sampling affect non-extreme simulation in geographical random forest? Earth Science Informatics. https://doi.org/10.1007/s12145-024-01268-9
14. Hong, Y., Que, X., Wang, Z., Ma, X., Wang, H., Salati, S., and Liu, J. Mangrove extraction from super-resolution images generated by deep learning models. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2024.111714
13. Que, X., Zhuang, X., Ma, X. Lai, Y., Xie, J., Fei, T., Wang, H., and Wu, Y. (2023) Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall-induced landslide areas. Earth Science Informatics. https://doi.org/10.1007/s12145-023-01165-7
12. Chen, X., Wang, H. (co-first author), Lyu, W., and Xu, R. (2022) The Mann-Kendall-Sneyers test to identify the change points of COVID-19 time series in the United States. BMC Medical Research Methodology. https://doi.org/10.1186/s12874-022-01714-6
11. Chen, X. and *Wang, H. (2022) On the rise of the new B. 1.1. 529 variant: Five dimensions of access to a COVID-19 vaccine. Vaccine. https://doi.org/10.1016/j.vaccine.2021.11.096
10. Wang, H., Xu, R., Qu, S., Schwartz, M. and Chen, X. (2021) Health inequities in COVID-19 vaccination among the elderly: Case of Connecticut Journal of Infection and Public Health. https://doi.org/10.1016/j.jiph.2021.07.013
9. Yu, Z., Zhu, X., Liu, X., Chen, X., Wei, T., Yuan, H., Xu, Y., Zhu, R., He, H., Wang, H., Wong M., Jia, P., Shi, W. and Chen, W. (2021) Reopening International Borders without Quarantine: Contact Tracing Integrated Policy against COVID-19. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph18147494
8. Wang, H., Seaborn, T., Wang, Z., Caudill, C. and Link, T. (2021) Modeling tree canopy height using machine learning over mixed vegetation landscapes. International Journal of Applied Earth Observations and Geoinformation. https://doi.org/10.1016/j.jag.2021.102353
7. Chen, X., Zhang, A., Wang, H., Gallaher, A. and Zhu, X. (2021) Compliance and Containment in Social Distancing: A Meso-scale Epidemic Model of COVID-19 International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2021.1873999
6. Qu, S., Hu, S., Li, W., Wang, H., Zhang, C. and Li, Q. (2020) Interaction between urban land expansion and land use policy: A analysis using the DPSIR framework. Land Use Policy. https://doi.org/10.1016/j.landusepol.2020.104856
5. Wang, H., Stephenson, S.R. and Qu, S. (2020) Quantifying the relationship between streamflow and climate change in a small basin under future scenarios. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2020.106251
4. Wang, H., Stephenson, S.R. and Qu, S. (2019) Modeling spatially non-stationary land use/cover change in the lower Connecticut River Basin by combining geographically weighted logistic regression and the CA-Markov model. International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2019.1591416
3. Qu, S., Hu, S., Li, W., Zhang, C., Li, Q. and Wang, H. (2019) Temporal variation in the effects of impact factors on residential land prices. Applied Geography. https://doi.org/10.1016/j.apgeog.2019.102124
2. Wang, H. and Stephenson, S.R. (2018) Quantifying the impacts of climate change and land use/cover change on runoff in the lower Connecticut River Basin. Hydrological Processes. 32:1301–1312. https://doi.org/10.1002/hyp.11509
1. Wang, H. (2012) Prediction analysis of the carrying capacity of Nanjing Olympic Stadium and supporting facilities based on GIS. Jiangsu Social Sciences. S1: 34 -37. (In Chinese)