近年发表或出版的主要作品:
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1.刘伊萌,杨赛霓*,王运涛,刘晓燕,张馨文,朱羽遥. 基于CADDIES-2D的北京城区暴雨洪涝模拟及验证分析[J]. 水电能源科学,2021
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2.Jia Liang, Yang S.*, Wang W. Zhang X. Impact analysis of highways in China under future extreme precipitation. Natural Hazards.(2021)
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3.Babuna P, Han C, Li M, Gyilbag A, Dehui B, Awudi DA, Supe Tulcan RX, Yang S*, Yang X*. The effect of human settlement temperature and humidity on the growth rules of infected and recovered cases of COVID-19. Environ Res. 2021 Jun;197:111106.
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4.Yao, Kezhen, Saini Yang*, Jiting Tang. Rapid Assessment of Seismic Intensity Based on Sina Weibo—A Case Study of the Changning Earthquake in Sichuan Province, China.International Journal of Disaster Risk Reduction (2021).
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5.Han, Chuanliang, Saini Yang*, et al. Mechanisms of recurrent outbreak of COVID-19: a modelbased study. Nonlinear Dynamics (2021). https://doi.org/10.1007/s11071-021-06371-w
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6.Liu, X., Yang, S., Ye, T.*, An, R., & Chen, C. (2021). A new approach to estimating flood-affected populations by combining mobility patterns with multi-source data: A case study of Wuhan, China. International Journal of Disaster Risk Reduction, 55, 102106. https://doi.org/https://doi.org/10.1016/j.ijdrr.2021.102106
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7.Tang, Jiting, Saini Yang*, Weiping Wang.Social Media-based Disaster Research: Development, Trends, and Obstacles,International Journal of Disaster Risk Reduction (2021).Volume 55, 102095.
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8.Hu, F., Yang, S.* & Thompson, R.G. Resilience-Driven Road Network Retrofit Optimization Subject to Tropical Cyclones Induced Roadside Tree Blowdown. Int J Disaster Risk Sci 12, 72–89 (2021). https://doi.org/10.1007/s13753-020-00301-x
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9.Han, C., Liu, Y., Tang, J. Yang S.* Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide. Int J Disaster Risk Sci 11, 497–507 (2020). https://doi.org/10.1007/s13753-020-00294-7
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10.Jiting, Tang, Yang, Saini* & Wang, Weiping. Review of the Application of Social Media Data in Disaster Research[C]. In proceedings of Modern Management based on Big Data, Beijing, 2020:74-82.
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11.Liu Y , Yang S* , Han C , et al. Variability in Regional Ecological Vulnerability: A Case Study of Sichuan Province, China[J]. International Journal of Disaster Risk ence, 2020:1-13.
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12.Zhu, Y.-Y.; Yang, S*. Evaluation of CMIP6 for Historical Temperature and Precipitation over the Tibetan Plateau and Its Comparison with CMIP5. Advances in Climate Change Research 2020, S1674927820300617. https://doi.org/10.1016/j.accre.2020.08.001.
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13.Zhu, Y.; Yang, S*. Interdecadal and Interannual Evolution Characteristics of the Global Surface Precipitation Anomaly Shown by CMIP5 and CMIP6 Models. Int J Climatol 2020, joc.6756. https://doi.org/10.1002/joc.6756.Han C , Liu Y , Tang J , et al. Lessons from the Mainland of China's Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide[J]. International Journal of Disaster Risk ence, 2020(6).
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14.刘伊萌, 杨赛霓*, 倪维, et al. 生态斑块重要性综合评价方法研究——以四川省为例[J]. 生态学报, 2020,40(11).
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15.张新龙,杨赛霓*,贾梁。中国极端高温未来情景下的公路暴露度分析. 灾害学, 2020 35(2) 224-229.
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16.Wang, W., Yang S.*, Gao J., Hu, F., Zhao, W., Stanley, H. E.(2020) An integrated approach for impact assessment of large-scale future floods on the road transport system. Risk Analysis. https://onlinelibrary.wiley.com/doi/pdf/10.1111/risa.13507 (TOP)
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17.Yaqiao Wu, Xiaoye Wang, Jingyan Wu, Rui Wang, Saini Yang*.(2020)Performance of heat-health warning systems in Shanghai evaluated by using local heat-related illness data. Science of the Total Environment, https://www.sciencedirect.com/science/article/pii/S0048969720303934?via=ihub (TOP)
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18.Wang, W., Yang, S.*, Stanley, H. E. , Gao J. (2019). Local floods induce global abrupt failures of road networks. Nature Communications, doi: s41467-019-10063-w
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19.Xuechi Zhang, Ali Haghani*, Saini Yang. (2019) Is dynamic traffic sensor network profitable for network-level real-time information prediction? Transportation Research Part C, ,102, 32-59.
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20.吴竞妍,杨赛霓*,倪维.中国综合减灾示范社区的发展演变与创建成效评价.灾害学,2019,34( 3) : 184 - 188.
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21.Lucas, Klaus, Renn, Otwin, Jaeger, Carlo*, Yang, Saini. (2018) Systemic Risks: A Homomorphic Approach on the Basis of Complexity Science. Int J Disaster Risk Sci 9: 292.
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22.Wang, W., Yang, S.*, Hu, F., Stanley, H. E., He, S., Shi, M. (2018). An approach for cascading effects within critical infrastructure systems. Physica A: Statistical Mechanics and its Applications, 510, 164-177.
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23.Wang, W., Yang, S.*, Hu, F., Han, Z., & Jaeger, C. (2018). An agent-based modeling for housing prices with bounded rationality. In Journal of Physics: Conference Series (Vol. 1113, No. 1, p. 012014). IOP Publishing. (EI)
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24.Shi, Peijun, Saini Yang* et al. Fourteen Actions and Six Proposals for Science and Technology - Based Disaster Risk Reduction in Asia. Int J Disaster Risk Sci (2018) 9:275–279.
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25.Yang, Saini, Fuyu Hu* et al. Criticality ranking for components of a transportation network at risk from tropical cyclones. International Journal of Disaster Risk Reduction. Feb 2018. DOI:10.1016/j.ijdrr.2018.02.017
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26.刘晓刚,张文慧,杨赛霓*.珠海市家庭自然灾害适应性行为及其影响因素.灾害学(2018) Vol.30.29-36.
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27.Hu, Fuyu, Saini Yang* et al. Integrated optimization for shelter service area demarcation and evacuation route planning by a ripple-spreading algorithm. International Journal of Disaster Risk Reduction.· June 2017. DOI: 10.1016/j.ijdrr.2017.06.006
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28.Shi, Peijun, Saini Yang, et al. Green Development and Integrated Risk Governance. International Journal of Disaster Risk Science. June 2017, Volume 8, Issue 2, pp 231–233.
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29.Fang, Jiayi, Liu, Wei, Yang, Saini, Brown, Sally, Nicholls, Robert, Hinkel, Jochen, Shi, Xianwu and Shi, Peijun* (2017) Spatial-temporal changes of coastal and marine disasters risks and impacts in Mainland China Ocean and Coastal Management, 139, pp. 125-140. (doi:10.1016/j.ocecoaman.2017.02.003 )
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30.Yang, Saini*, Ying, Guofan et al. Modeling of adverse impact of rainstorm on a regional transport network. International Journal of Disaster Risk Science (2016),7:77-87.
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31.Wang, Weiping, Yang, Saini* et al. An Integrated Optimization Model for Shelter Allocation and Evacuation Routing with Consideration for Reliability. Transportation Research Record (2016), Vol. 2599, pp. 33-42.
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32.孟永昌,杨赛霓*,史培军,王铸. 巨灾对全球贸易的影响评估.灾害学, 2016, 31(4).
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33.Hu, Fuyu, Chi Ho Yeung, Saini Yang* et al. Recovery of infrastructure networks after localized attacks. Scientific Report (2016), Article number: 24522, DOI: 10.1038/srep24522.
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34.Yang, Saini, Hu, Fuyu*, Jaeger, Carlo. Impact Factors and Risk Analysis of Tropical Cyclones on a Highway Network. Risk Analysis (2016), Volume 36, Issue 2, Pages 262–277.(TOP)
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35.Yang Saini*, Juan Du, Shuai He, Xiaohua Sun. The emerging vulnerable population of the urbanisation resulting from post-disaster recovery of the Wenchuan earthquake. Natural Hazards (2015), 75, 2103-2118.
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36.Yang Saini*, Shuai He, Juan Du, Xiaohua Sun. Screening of social vulnerability to natural hazards in China. Natural Hazards (2015), 76, 1-18.
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37.Li Shuangshuang, Saini Yang*, Xianfeng Liu, Yanxu Liu and Mimi Shi. NDVI-Based Analysis on the Influence of Climate Change and Human Activities on Vegetation Restoration on the Loess Plateau in the Shaanxi-Gansu-Ningxia Region in Central China. Remote Sensing, 2015, 7(9), 11163-11182.
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38.Yongchang Meng, Saini Yang, Peijun Shi*, Carlo Jaeger. The asymmetric impact of natural disasters on China's bilateral trade. Nat. Hazards Earth Syst. Sci., 15, 2273-2281, 2015.
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39.Xianwu Shi, Shan Liu, Saini Yang, Qinzheng Liu*, Jun Tan, Zhixing Guo (2015). Spatial–temporal distribution of storm surge damage in the coastal areas of China. Natural Hazards, online June, 2015.
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40.Liu Min, Ming Wang*, Saini Yang, Peijun Shi. Incorporating Triggering and Environmental Factors in the Analysis of Earthquake-Induced Landslide Hazards. International Journal of Disaster Risk Science, 2015, Vol.5 (2), pp 125-135.
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41.李双双, 杨赛霓*, 刘宪锋,等.2008年中国南方低温雨雪冰冻灾害网络建模及演化机制研究[J].地理研究,2015,34(10):1887-1896.
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42.李双双, 杨赛霓*, 刘宪锋.1960-2013年秦岭—淮河南北极端降水时空变化特征及其影响因素[J].地理科学进展,2015,34(3):354-363.
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43.李双双, 杨赛霓*, 刘宪锋.1960-2013年北京旱涝变化特征及其影响因素分析[J].自然资源学报,2015,30(6):952-962.
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44.李双双, 杨赛霓*, 张东海,等.近54年京津冀地区热浪时空变化特征及影响因素[J].应用气象学报,2015,26(5):545-554.
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45.李双双, 杨赛霓*, 刘宪锋.西南地区水稻亏缺率时空变化特征及其影响因素[J].生态学报,2015,doi: 10.5846/stxb201503290603.
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46.贺 帅, 杨赛霓*, 汪伟平, 石蜜蜜. 中国自然灾害社会脆弱性时空格局演化研究[J]. 北京师范大学学报(自然科学版), 2015, 51(3) : 299-305.
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47.石蜜蜜,杨赛霓*,贺帅,杜娟,孙小华. 灾后重建中的资金来源及有效性对比研究--以美国绿堡镇与中国汶川灾区南坝镇为例. 北京师范大学学报, 2015, 51(2), 160-163.
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48.李双双, 杨赛霓*,刘宪锋.北非Sahel地区夏季降水异常对华北平原旱涝指示意义[J].自然灾害学报,2015.Vol. 5, pp.47-56.
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49.李双双, 杨赛霓*,刘焱序,等.1960-2013年京津冀地区干旱-暴雨-热浪灾害时空聚类特征[J].地理科学,2015.
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50.李双双, 杨赛霓*. 1960-2014年北京极端气温事件变化特征[J]地理科学,2015.
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51.Hu Fuyu, Saini Yang*, Wei Xu. A non-dominated sorting genetic algorithm for the location and districting planning of earthquake shelters. International Journal of Geographical Information Science, 2014, 28(7): 1482-1501.
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52.孟永昌,杨赛霓*, 史培军. 基于改进遗传算法的路网应急疏散多目标优化.武汉大学学报(信息科学版), 2014, Vol 39(20):201-205.
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53.Saini Yang* and Wu, Dan (2013). Transportation energy consumption and energy security in China. Editors: A. Gheorghe, M. Masera, K. Polinpapilinho, 2013. Infranomics. Springer-Verlag.
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54.Yang, Saini*, Jiayuan Ye, Xuechi Zhang and Hao Liu. Study of the impact of rainfall on freeway traffic flow in Southeast China. International Journal of Critical Infrastructures, 2012, Vol.8, pp. 230-241.
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55.Wang, Ming, Chuan Liao, Saini Yang and Peijun Shi. Are people willing to buy disaster insurance in China. Risk Analysis, 2012, Vol.32(10), pp. 1717-1740.(SCI-top)
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