国际影响力
Program committee, Workshop in DASFAA (The International Conference on Database Systems for Advanced Applications), 2014
Program committee, International Conference on Geoinformatics, 2012
Session organizer and chair，Youth Innovation Forum on Digital Earth, 2023
Session organizer and chair，The Annual Meeting of American Association of Geographers, 2016, 2018
Guest editor, Special Issue “Advances to GIS for Sensing of Earth and Human Interaction”, Remote Sensing, 2021
Guest editor, Special Issue “Human-Oriented Observation for Supporting Effective Decision-Making in Governance and Public Service”, Remote Sensing, 2021
所获荣誉
2023年，广东省科学技术进步奖，二等奖，4/10，项目名称“健康大数据智能分析关键技术与应用”
2022年，北京市科技进步奖，二等奖，7/10，项目名称“新冠肺炎疫情时空大数据精准防控方法、技术与应用”
2021年，深圳市科技进步奖（公益类），一等奖，第一完成人，1/14，项目名称“基于人员流动大数据的疫情精准防控关键技术与应用”
2021年，测绘科学技术奖，特等奖，7/30，项目名称“重大呼吸道传染病疫情防控大数据方法、技术与应用”
2020年，广东“最美科技工作者”，获奖原因“大数据助力广东省科技抗疫”
2019年，教育部科技进步奖，二等奖，3/15，项目名称“大数据支持下的城市人群出行活动探测与时空服务关键技术”
2021年，Best Paper Award. Intra-urban Region-based Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Enhanced by Spatial Context. 2021. The 10th International Workshop on Urban Computing in conjunction with the 29th ACM SIGSPATIAL.
2017年，Best Paper Award. Precise space-time interventions on intra-urban dengue outbreaks using large-scale mobile phone tracking data. The 1st International Conference on Urban Informatics.
科研成果
科技项目
(1)课题负责人，国家重点研发计划，“重大传染病社会数据化治理的智能方法研究与应用示范”，2023-2026, 180/970万
(2)子课题负责人，国家重点研发计划-课题，“基于数字孪生的重要公共场所生物恐怖防控体系集成与应用”，2021-2024，250/2653万
(3)项目负责人, 国家自然科学基金, 面上项目,“疫情时空传播网络系统的反馈优化控制研究”，2023-2026，54万
(4)项目负责人，国家自然科学基金，面上项目，“多源轨迹数据支持下基于个体的城市尺度传染病扩散模拟研究”， 2018-2021，63万
(5)项目负责人，广东省粤深区域联合基金-重点项目，“基于大数据的公共卫生事件社会资源服务与预警决策技术研究，2022-2025”，100万
(6)项目负责人，广东省国际科技合作项目，“基于个体建模和手机定位数据的登革热传播模型和防控策略研究”，2015-2017，50万
(7)项目负责人，比尔及梅林达·盖茨基金，“呼吸道合胞病毒疫苗接种策略多智能体模拟”，2023-2025，63万
(8)项目负责人，比尔及梅林达·盖茨基金，“基于个体随机模型的新冠肺炎爆发疫情防控措施效果评价”，2020-2021，28万
代表性文章
(1)Zhu, K., Yin, L*, Liu, K., Liu, J., Shi, Y., Li, X., ... & Du, H. (2024). Generating synthetic population for simulating the spatiotemporal dynamics of epidemics. PLOS Computational Biology, 20(2), e1011810. (JCR一区)
(2)Zhang, H., L. Yin*, L. Mao, S. Mei, T. Chen, K. Liu, and S. Feng, Combinational Recommendation of Vaccinations, Mask-Wearing, and Home-Quarantine to Control Influenza in Megacities: An Agent-Based Modeling Study With Large-Scale Trajectory Data. Frontiers in Public Health, 2022. 10. (JCR二区)
(3)尹凌*, 刘康, 张浩, 奚桂锴, 李璇, 李子垠, and 薛建章, 耦合人群移动的 COVID-19 传染病模型研究进展. 地球信息科学学报, 2021.
(4)Yin, L.*, H. Zhang, Y. Li, K. Liu, T. Chen, W. Luo, S. Lai, Y. Li, X. Tang, L. Ning, S. Feng, Y. Wei, Z. Zhao, Y. Wen, L. Mao*, and S. Mei*, A data driven agent-based model that recommends non-pharmaceutical interventions to suppress Coronavirus disease 2019 resurgence in megacities. Journal of The Royal Society Interface, 2021. 18:20210112. (JCR一区)
(5)Xi, G., L. Yin*, and K. Liu, Intra-urban Region-based Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Enhanced by Spatial Context. 2021.The 10th International Workshop on Urban Computing in conjunction with the 29th ACM SIGSPATIAL, Beijing, 2021-11-1. (Best Paper Award)
(6)Liu, K., L. Yin*, M. Zhang, M. Kang, A.-P. Deng, Q.-L. Li, and T. Song, Facilitating fine-grained intra-urban dengue forecasting by integrating urban environments measured from street-view images. Infectious Diseases of Poverty, 2021. 10(1):40. (JCR一区)
(7)Wang, R., C. Ji, Z. Jiang, Y. Wu*, L. Yin*, and Y. Li*, A short-term prediction model at the early stage of the COVID-19 pandemic based on multisource urban data. IEEE Transactions on Computational Social Systems, 2021. 8(4):938-945. (JCR一区)
(8)Yin, L.*, N. Lin, and Z. Zhao, Mining Daily Activity Chains from Large-Scale Mobile Phone Location Data. Cities, 2021. 109:103013.( JCR一区)
(9)Liu, K., M. Zhang, G. Xi, A. Deng, T. Song, Q. Li, M. Kang*, and L. Yin*, Enhancing fine-grained intra-urban dengue forecasting by integrating spatial interactions of human movements between urban regions. PLoS Neglected Tropical Diseases, 2020. 14(12):e0008924. (JCR一区)
(10)Yin, L.*, N. Lin, X. Song, S. Mei, S.-L. Shaw, Z. Fang, Q. Li, Y. Li, and L. Mao, Space-time personalized short message service (SMS) for infectious disease control – Policies for precise public health. Applied Geography, 2020. 114:102103. (JCR一区)
(11)Liu, K., L. Yin*, Z. Ma, F. Zhang, and J. Zhao, Investigating physical encounters of individuals in urban metro systems with large-scale smart card data. Physica A: Statistical Mechanics and its Applications, 2020. 545:123398.(CR一区)
(12)Yin, L., J. Chen*, H. Zhang, Z. Yang, Q. Wan, L. Ning, J. Hu, and Q. Yu, Improving emergency evacuation planning with mobile phone location data. Environment and Planning B: Urban Analytics and City Science, 2020. 47(6):964-980. ( JCR一区)
(13)Kang Liu, Ling Yin*, Feng Lu, Naixia Mou, 2020. Visualizing and exploring POI configurations of urban regions on POI-type semantic space. Cities, 99: 102610. (JCR一区)
(14)Kang Liu, Peiyuan Qiu, Song Gao, Feng Lu, Jincheng Jiang*, Ling Yin*, 2019. Investigating urban metro stations as cognitive places in cities using points of interest. Cities, 97. (JCR一区)
(15)Ling Yin, Jie Chen, Hao Zhang, Zhile Yang, Qiao Wan, Li Ning, Jinxing Hu, Qi Yu. 2019. Improing emergency evacuation planning with mobile phone location data. Environment and Planning B: Urban Analytics and City Science. (JCR二区)
(16)Kang Liu, Ling Yin*, Zhanwu Ma, Fan Zhang, Juanjuan Zhao. 2019. Investigating physical encounters of individuals in urban metro systems with large-scale smart card data. Physica A : Statistical Mechanics and its Applications. (JCR二区)
(17)Ling Yin*, Nan Lin, Xiaoqing Song, Shujiang Mei, Shih-Lung Shaw, Zhixiang Fang, Qinglan Li, Ye Li, Liang Mao. 2019. Space-Time Personalized Short Message Service (SMS) for Infectious Disease Control – Policies for Precise Public Health. Applied Geography. (JCR一区)
(18)Zhiyuan Zhao, Shih-Lung Shaw, Ling Yin*, Zhixiang Fang, Xiping Yang, Fan Zhang, Sheng Wu. 2019. The effect of temporal sampling intervals on typical human mobility indicators obtained from mobile phone location data. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2019.1584805 (JCR一区)
(19)Ling Yin, Qian Wang, Shih-Lung Shaw, Zhixiang Fang, Jinxing Hu, Ye Tao, Wei Wang. 2015. Re-identification risk versus data utility for aggregated mobility research using mobile phone location data. PLoS ONE 10(10): e0140589. doi:10.1371/journal.pone.0140589 (JCR一区)
(20)Ling Yin, Shih-Lung Shaw. 2015. Exploring space-time paths in physical and social closeness spaces: a space-time GIS approach. International Journal of Geographical Information Science. 29(5): 742-761. (JCR一区)
(21)Ling Yin, Shih-Lung Shaw, Dali Wang, Eric A. Carr, Michael W. Berry, Louis J. Gross, and E. Jane Comiskey. 2012. A framework of integrating GIS and parallel computing for spatial control problems --- A case study of wildfire control. International Journal of Geographical Information Science, 26(4), 621–641. (JCR一区)
(22)Ling Yin, Shih-Lung Shaw, and Hongbo Yu. 2011. Potential effects of ICT on face-to-face meeting opportunities: A GIS-based time-geographic exploratory approach. Journal of Transport Geography, 19(2), 422–433. ( JCR一区)
成果转化
获授权发明专利20余项。通过专利转化与产学研合作，横向项目经费累计近300万。成果持续服务医疗卫生机构、交通部门以及大数据公司转化。服务政府部门机构包括国家疾控局、中国疾控中心、广东省疾控中心、深圳市疾控中心、深圳市南山区慢病院、深圳市交通运输委等。
