33.黄晶,蔡思琴,庞甜甜,王慧敏.基于主体建模的城市暴雨洪涝灾害预警策略仿真研究,地球信息科学学报(IN PRESS)
32.黄晶, 吴星妍, 王慧敏, 戴强. 基于知识图谱的暴雨灾害链挖掘与预测研究预测. 工程管理科技前沿(IN PRESS)
31. Wang, T., Wang, H., Wang, Z., Huang, J. (2023). Dynamic risk assessment of urban flood disasters based on functional area division—A case study in Shenzhen, China. Journal of Environmental Management, 345:118787. https://doi.org/10.1016/j.jenvman.2023.118787
30. Huang, J., Zhuo, L., She, J., Kang, J., Liu, Z., Wang, H. (2023). Urban Flood Inundation Probability Assessment Based on an Improved Bayesian Model, Natural Hazards Review, 24(4):04023046. https://doi.org/10.1061/NHREFO.NHENG-1726
29. Huang, J., Xu, Y., Wen, X., Zhu, X., & Herrera-Viedma, E. (2023). Deriving priorities from the fuzzy best-worst method matrix and its applications: A perspective of incomplete reciprocal preference relation. Information Sciences, 634, 761–778. https://doi.org/10.1016/j.ins.2023.03.125
28. Wang, D., Huang, J., & Xu, Y. (2023). Integrating intuitionistic preferences into the graph model for conflict resolution with applications to an ecological compensation conflict in Taihu Lake basin. Applied Soft Computing, 135, 110036. https://doi.org/10.1016/j.asoc.2023.110036
27. Huang, J., Yang, Y., Yang, Y., Fang, Z., & Wang, H. (2022). Risk assessment of urban rainstorm flood disaster based on land use/land cover simulation. Hydrological Processes, 36(12). Portico. https://doi.org/10.1002/hyp.14771
26. Sun, D., Wang, H., Huang, J.*, Zhang, J., & Liu, G. (2022). Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China. Journal of Flood Risk Management. Portico. https://doi.org/10.1111/jfr3.12873
25. Sun, D., Wang, H., Lall, U., Huang, J.*, & Liu, G. (2022). Subway travel risk evaluation during flood events based on smart card data. Geomatics, Natural Hazards and Risk, 13(1), 2796–2818. https://doi.org/10.1080/19475705.2022.2134056
24. Zhang, J., Wang, H., Huang, J.*, Sun, D., & Liu, G. (2022). Evaluation of Urban Flood Resilience Enhancement Strategies—A Case Study in Jingdezhen City under 20-Year Return Period Precipitation Scenario. ISPRS International Journal of Geo-Information, 11(5), 285. https://doi.org/10.3390/ijgi11050285
23. Zhang, R., Huang, J., Xu, Y., & Herrera-Viedma, E. (2022). Consensus models with aggregation operators for minimum quadratic cost in group decision making. Applied Intelligence, 53(2), 1370–1390. https://doi.org/10.1007/s10489-021-02948-5
22. Wang, D., Huang, J., Xu, Y., & Wu, N. (2022). Water–Energy–Food nexus evaluation using an inverse approach of the graph model for conflict resolution based on incomplete fuzzy preferences. Applied Soft Computing, 120, 108703. https://doi.org/10.1016/j.asoc.2022.108703
21. Lu, Y., Xu, Y., Huang, J., Wei, J., & Herrera-Viedma, E. (2022). Social network clustering and consensus-based distrust behaviors management for large-scale group decision-making with incomplete hesitant fuzzy preference relations. Applied Soft Computing, 117, 108373. https://doi.org/10.1016/j.asoc.2021.108373
20. Liu, Z., Wang, H., Huang, J.*, & Zhuo, L. (2021). Data Mining of Remotely-Sensed Rainfall for a Large-Scale Rain Gauge Network Design. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 12300–12311. https://doi.org/10.1109/jstars.2021.3131157
19. Huang, S., Wang, H., Xu, Y., She, J., & Huang, J.* (2021). Key Disaster-Causing Factors Chains on Urban Flood Risk Based on Bayesian Network. Land, 10(2), 210. https://doi.org/10.3390/land10020210
18. Zhu, S., Huang, J., & Xu, Y. (2021). A consensus model for group decision making with self‐confident linguistic preference relations. International Journal of Intelligent Systems, 36(11), 6360–6386. Portico. https://doi.org/10.1002/int.22553
17. Huang, J., Kang, J., Wang, H., Wang, Z., & Qiu, T. (2020). A Novel Approach to Measuring Urban Waterlogging Depth from Images Based on Mask Region-Based Convolutional Neural Network. Sustainability, 12(5), 2149. https://doi.org/10.3390/su12052149
16. Huang, J., Cao, W., Wang, H., & Wang, Z. (2020). Affect Path to Flood Protective Coping Behaviors Using SEM Based on a Survey in Shenzhen, China. International Journal of Environmental Research and Public Health, 17(3), 940. https://doi.org/10.3390/ijerph17030940
15. Cao, W., Yang, Y., Huang, J.*, Sun, D., & Liu, G. (2020). Influential Factors Affecting Protective Coping Behaviors of Flood Disaster: A Case Study in Shenzhen, China. International Journal of Environmental Research and Public Health, 17(16), 5945. https://doi.org/10.3390/ijerph17165945
14. Wang, Z., Huang, J., Wang, H., Kang, J., & Cao, W. (2020). Analysis of Flood Evacuation Process in Vulnerable Community with Mutual Aid Mechanism: An Agent-Based Simulation Framework. International Journal of Environmental Research and Public Health, 17(2), 560. https://doi.org/10.3390/ijerph17020560
13. Huang, J., Fu, P., Tong, J., She, J., & Zhang, J. (2019). Evaluating the vulnerability of agricultural drought in Hetao Irrigation Area of Inner Mongolia Based on super efficiency DEA. IOP Conference Series: Earth and Environmental Science, 330(3), 032020. https://doi.org/10.1088/1755-1315/330/3/032020
12. Wang, Z., Wang, H., Huang, J., Kang, J., & Han, D. (2018). Analysis of the Public Flood Risk Perception in a Flood-Prone City: The Case of Jingdezhen City in China. Water, 10(11), 1577. https://doi.org/10.3390/w10111577
11. Sun, D. C., Huang, J.*, Wang, H. M., Wang, Z. Q., & Wang, W. Q. (2017). Risk assessment of urban flood disaster in Jingdezhen City based on analytic hierarchy process and geographic information system. IOP Conference Series: Earth and Environmental Science, 82, 012075. https://doi.org/10.1088/1755-1315/82/1/012075
10. Dai Q., Han D., Zhuo L., Huang J., Islam T., Srivastava P. K. (2015). Impact of complexity of radar-rainfall uncertainty model on flow simulation, Atmospheric Research，161-162：93-101, doi: 10.1016/j.atmosres.2015.04.002
9. Huang, J., & Han, D. (2014). Meta-analysis of influential factors on crop yield estimation by remote sensing. International Journal of Remote Sensing, 35(6):2267-2295. doi:10.1080/01431161.2014.890761
8. Huang, J., Wang, H., Dai, Q., Han, D. (2014). Analysis of NDVI data for crop identification and yield estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,7(11) :4374-4384, doi:10.1109/JSTARS.2014.2334332 (SCI, IF 3.392) Web of science:30
7. 王慧敏,黄晶*,刘高峰,佟金萍,曾庆彬.大数据驱动的城市洪涝灾害风险感知与预警决策研究范式[J].工程管理科技前沿,2022,41(01):35-41.
6. 黄晶*, 付鹏, 许叶军. 基于随机Petri网的多部门协同农业抗旱应急处置流程建模——以内蒙古巴彦淖尔市为例. 系统管理学报, 2021,30(06):1162-1172
5. 黄晶*, 佘靖雯. 三角洲城市群洪涝灾害脆弱性评估及影响因素分析[J]. 我校学报(哲学社会科学版),2020,22(06): 39-45+110-1117.
4. 黄晶*, 佘靖雯, 袁晓梅, 王慧敏. 基于系统动力学的城市洪涝韧性仿真研究—以南京市为例[J].长江流域资源与环境, 2020,29(11): 2519-2529
3. 宁思雨,黄晶,汪志强,王慧敏*, 基于投入产出法的洪涝灾害间接经济损失评估——以湖北省为例[J].地理科学进展,2020,39(03):420-432.
2. 孙殿臣,王慧敏,黄晶*,等.鄱阳湖流域城市洪涝灾害风险及土地类型调整策略研究-以景德镇市为例[J].长江流域资源与环境, 2018, 27(12):2856-2866
1. 佟金萍,黄晶,陈军飞. 洪灾应急管理中的府际合作模式研究[J]. 我校学报(哲学社会科学版),2015,04:69-74+92
