自然地理、气候变化、水文水资源、传染病预警及风险评估研究、环境变化对人类疾病影响等

代表论著：

截至目前，发表学术期刊论文48篇，SCI 期刊收录论文36篇，JCR一区24篇，第一作者和通讯作者SCI论文25篇，Google Scholar引用超过1200次，H-index=18，高被引文章1篇。传染病类top期刊3篇，Nonlinear Analysis: Real World Application 2篇一作，包括ESI高被引一篇，Chaos, Solitons and Fractals； 气候变化类top期刊4篇，包括Journal of Climate, Journal of Geophysical Research: Atmospheres和Journal of Hydrology.

自然地理代表论文：

1. Hu, Z., Chen, X*., Zhou, Q., et al., 2022, Dynamical variations of the terrestrial water cycle components and the influences of the climate factors over the Aral Sea Basin through multiple datasets, Journal of Hydrology, 604, 127270.

2. Zhou, Q., Chen, D., Hu, Z*. and Chen, X*, 2021, Decompositions of Taylor diagram and DISO performance criteria, International Journal of Climatology, 41 (12), 5726-5732.

3. Hu, Z., Zhang, Z. and Sang, Y., et al., 2021, Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models, Journal of Hydrology, 596, 126013.

4. Hu, Z., Chen, X. and Zhou, Q., et al., 2019, DISO: A rethink of Taylor diagram, International Journal of Climatology, 39, 2825-2832.

5. Hu, Z., Hu, Q. and Zhang, C., et al., 2016, Evaluation of reanalysis, spatially interpolated and satellite remotely sensed precipitation data sets in central Asia. Journal of Geophysical Research: Atmospheres, 121, 5648-5663.

6. Hu, Z., Zhang, C. and Hu, Q., et al., 2014, Temperature Changes in Central Asia from 1979 to 2011 Based on Multiple Datasets. Journal of Climate, 27, 1143-1167.

人类健康传染病代表论文：

1. Wang, X., Yin, G. and Hu, Z*., et al., 2021, Dynamical variations of the Global COVID-19 Pandemic based on a SEICR disease model: a new approach of Yi Hua Jie Mu, GeoHealth, 5, 2021GH000455.

2. Hu, Z., Cui, Q. and Han, J., et al., 2020, Evaluation and prediction of the COVID-19 variations at different input population and quarantine strategies, a case study in Guangdong province, China, International Journal of infectious disease, 95, 231-240.

3. Hu, Z., Teng, Z. and Zhang, T., et al., 2017，Globally asymptotically stable analysis in a discrete time eco-epidemiological system, Chaos, Solitons & Fractals, 99, 20-31.

4. Hu, Z., Teng, Z. and Jiang, H., 2012, Stability analysis in a class of discrete SIRS epidemic models. Nonlinear Analysis: Real World Application, 13, 2017-2033, 高被引.

5. Hu, Z., Teng, Z. and Zhang, L., 2011, Stability and bifurcation analysis of a discrete predator-prey model with nonmonotonic functional response. Nonlinear Analysis: Real World Applications, 12, 2356-2377.