1. J. C. Han, Y. Huang, H. Zhang, and G. Huang. Characterization of elevation and land cover dependent trends of NDVI variations in the Hexi region, Northwest China. Journal of Environmental Management (Elsevier), 2019(232)：1037-1048.
2. J. C. Han, Huang, G., Huang, Y., Zhang, H., Li, Z. and Chen, Q. Chance-constrained overland flow modeling for improving conceptual distributed hydrologic simulations based on scaling representation of sub-daily rainfall variability. Science of the Total Environment (Elsevier), 2015(524–525): 8-22.
3. J. C. Han, Huang, Y., Li, Z., Zhao C. and Huang, P. Groundwater level prediction using a SOM-aided stepwise cluster inference model. Journal of Environmental Management (Elsevier), 2016, 182: 308-321.
4. J. C. Han, G. Huang, H. Zhang, Y. Zhuge, L. He, Fuzzy Constrained Optimization of Eco-friendly Reservoir Operation Using Self-Adaptive Genetic Algorithm: A Case Study of a Cascade Reservoir System in the Yalong River, China, Ecohydrology (Wiley), 2012, 5(6): 768-778.
5. J. C. Han, G. H. Huang, H. Zhang and Z. Li, Optimal Land Use Management for Soil Erosion Control by Using an Interval-Parameter Fuzzy Two-Stage Stochastic Programming Approach, Environmental Management (Springer), 2013, 52(3): 621-638.
6. J. C. Han, G. H. Huang, H. Zhang, Z. Li, and Y. P. Li. Effects of watershed subdivision level on semi-distributed hydrological simulations: case study of the SLURP model applied to the Xiangxi River Watershed, China, Hydrological Science Journal (Taylor & Francis), 2013, 59(1): 108-125.
7. J. C. Han, G. H. Huang, H. Zhang, Z. Li, and Y. P. Li, Heterogeneous precipitation and streamflow trends in the Xiangxi River Watershed, 1961-2010, Journal of Hydrologic Engineering (ASCE), 2014, 19(6): 1247-1258.
8. J. C. Han, G. H. Huang, H. Zhang, Z. Li, and Y. P. Li., Bayesian uncertainty analysis in hydrological modeling associated with watershed subdivision level: a case study of SLURP model applied to the Xiangxi River Watershed, China, Stochastic Environmental Research and Risk Assessment (Springer), 2014，28(4): 973-989.
9. Zheng Y T, Han J C, Huang Y F, et al. Vegetation Response to Climate Conditions based on NDVI simulations using Stepwise Cluster Analysis for the Chinese Three-River Headwaters Region, Ecological Indicators (Elsevier), 2018,92:18-29.
10. Zhou Y, Han J, ZHOU Y. Synergizing carbon trading and water management for urban sustainability: A city-level multi-objective planning framework. Applied Energy (Elsevier), 2024, 359: 122637.
11. Li G, Wu X, Han J C, et al. Flood risk assessment by using an interpretative structural modeling based Bayesian network approach (ISM-BN): An urban-level analysis of Shenzhen, China. Journal of Environmental Management (Elsevier), 2023, 329: 117040.
12. Han J C, Zheng W T, Liu Z, et al. Downscaling of Precipitation for Climate Change Projections Using Multiple Machine Learning Techniques: Case Study of Shenzhen City, China. Journal of Water Resources Planning and Management (ASCE), 2022, 148(11).
13. Han J C, Shang F, LI P, et al. Coupling Bayesian-Monte Carlo simulations with substance flow analysis for efficient pollutant management: A case study of phosphorus flows in China. Resources, Conservation and Recycling (Elsevier), 2021, 169: 105550.
14. Wang L, Lei X, Huang Y, Zhou Y, Han J C, et al. A novel method of identifying estuary high-nutrient zones for water quality management. Science of The Total Environment (Elsevier), 2023: 169578.
15. Gao S, Huang Y, Zhang S, Han J C, et al. Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation. Journal of Hydrology (Elsevier), 2020, 589.
