第一/通讯作者论文
1. [SSCI/JCR Q1/一作] Li Mengya, Wang F., Kwan M.P.,et al., 2022. Equalizing the spatial accessibility of emergency medical services in Shanghai: a trade-off perspective [J].Computers, Environment and Urban Systems, https://doi.org/10.1016/j.compenvurbsys.2021.101745. (IF=5.324)
2. [SSCI/JCR Q1/一作] Li Mengya, Kwan M.P., Chen J., et al., 2021. Measuring emergency medical service (EMS) accessibility with the effect of city dynamics in a 100-year pluvial flood scenario [J].Cities, https://doi.org/10.1016/j.cities.2021.103314. (IF=5.835)
3. [SSCI/JCR Q1/一作] Li Mengya, Kwan M.P., Wang F. et al., 2018. Using points-of-interest data to estimate commuting patterns in central Shanghai, China [J].Journal of Transport Geography, https://doi.org/10.1016/j.jtrangeo.2018.09.004. (IF=4.986)
4. [SSCI/JCR Q1/一作] Li Mengya, Kwan M.P., Yin J., et al., 2018. The potential effect of a 100-year pluvial flood event on metro accessibility and ridership: A case study of central Shanghai, China [J].Applied Geography, https://doi.org/10.1016/j.apgeog.2018.09.001. (IF=4.241)
5. [SSCI/JCR Q3/一作] Li Mengya, Huang Q., Wang L., et al., 2018. Modeling the traffic disruption caused by pluvial flash flood on intra-urban road network [J].Transactions in GIS, 22(1), 311-322. (IF=2.119)
6. [SCI/JCR Q1/一作] Li Mengya, Wu W., Wang J.*, et al., 2017. Simulating and mapping the risk of surge floods in multiple typhoon scenarios: a case study of Yuhuan County, Zhejiang Province, China [J].Stochastic environmental research and risk assessment, 31(3), 645-659. (IF=2.721)
7. [SCI/JCR Q2/一作] Li Mengya, Wang J.*, Sun X., 2016. Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges [J].Natural Hazards, 80(3), 2037-2054. (IF=2.799)
8. [SCI/JCR Q1/通讯] Wang J., Yi S., Li Mengya*, et al., 2018. Effects of sea level rise, land subsidence, bathymetric change, and typhoon tracks on storm flooding in the coastal areas of Shanghai [J].Science of the Total Environment, 621, 228-234. (IF=6.419)
9. [CSCD/一作]李梦雅,王军*,沈航.洪灾应急疏散路径规划算法优化[J].地球信息科学学报, 2016,18(3):362-368.
10.[CSCCI|CSCD /通讯]李睿,王军,李梦雅*.暴雨内涝情景下城市消防服务可达性的精细化评估[J].地理科学进展, 2022, 41(01): 143-156.
其他论文（作者排序≤3）
11. Hu W., Tan J., Li Mengya, et al., 2020. Impact of traffic on the spatiotemporal variations of spatial accessibility of emergency medical services in inner-city Shanghai [J].Environment and Planning B: Urban Analytics and City Science, 47(5), 841-854.
12. Tan J., Liu H., Li Mengya, et al., 2018. A prediction scheme of tropical cyclone frequency based on lasso and random forest [J].Theoretical and Applied Climatology, 133 (3-4), 973-983.
13. Huang Q., Wang J.*, Li Mengya, et al., 2017. Modeling the influence of urbanization on urban pluvial flooding: a scenario-based case study in Shanghai, China [J].Natural Hazards, 87(2), 1035-1055.
14.王军*,李梦雅,吴绍洪.多灾种综合风险评估理论与方法[J].世界地理研究, 2022.接收.
15.王军*,李梦雅,吴绍洪.多灾种综合风险评估与防范的理论认知：风险防范“五维”范式[J].地球科学进展, 2021, 36(6):11.
16.胡文燕,李梦雅,王军*,等.暴雨内涝影响下的城市道路交通拥挤特征识别[J].地理科学进展, 2018, 37(6): 772-780.
17.沈航,李梦雅,王军*.风暴洪水灾害应急疏散方法研究——以浙江省玉环县为例[J].地理与地理信息科学, 2016, 32(001):122-126.
18.郑璐,李梦雅,王军*,等.上海石化近岸海床冲淤特征与海堤稳定性分析[J].长江流域资源与环境, 2015, 24(08): 1293-1298.
19.宋城城,李梦雅,王军*,等.基于复合情景的上海台风风暴潮灾害危险性模拟及其空间应对[J].地理科学进展, 2014, 33(12):1692-1703.
20.许瀚卿,谭金凯,李梦雅,等.基于Copula函数的沿海城市雨潮复合灾害风险研究[J].自然灾害学报, 2022, 31(01): 040-48
21.易思,谭金凯,李梦雅,等.长江口海平面上升预测及其对滨海湿地影响[J].气候变化研究进展, 2017, 13(06): 598-605.
22.黄清雨,董军刚,李梦雅,等.暴雨内涝危险性情景模拟方法研究——以上海中心城区为例[J].地球信息科学学报, 2016, 18(04):506-513.
