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基本信息Personal Information
教授（特聘） 博士生导师 硕士生导师
曾获荣誉 : ACM SIGSPATIAL中国新星奖
日本学术振兴会JSPS卓越研究员
科睿唯安全球高被引学者
国家地理信息科技进步奖一等奖
全球前沿科技青年科学家
全国高等学校大学生测绘技能大赛特等奖、一等奖指导教师
全国“城垣杯”规划决策支持模型设计大赛特等奖（全国第一名）指导教师
ICC2019 (Tokyo) GIS Session会场主席
司马云“我心中的GIS名师”
性别 : 男
毕业院校 : 中山大学
学历 : 研究生(博士)毕业
学位 : 理学博士学位
在职信息 : 在职
所在单位 : 地理与信息工程学院
入职时间 : 2018年03月05日
学科 : 地理空间信息工程
办公地点 : 中国地质大学（武汉）未来城校区地理与信息工程学院521
联系方式 : yaoy@cug.edu.cn
Email :
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- [1]2.Wang, R., Lu, Y., Zhang, J., Liu, P., Yao, Y.*, Liu, Y. 2019. The relationship between visual enclosure for neighbourhood street walkability and elders’ mental health in China: Using street view images. Journal of Transport & Health. DOI: 10.1016/j.jth.2019.02.009. (SCI检索)
- [2]1.Yao, Y., Liu, P., Hong, Y., Liang, Z., Wang, R., Guan, Q.*, & Chen, J. 2019. Fine-scale Intra- and intercity commercial store site recommendations using knowledge transfer. Transactions in GIS. DOI: 10.1111/TGIS.12553. (SSCI检索)
- [3]Hong, Y. & Yao, Y.* 2019. Hierarchical community detection and functional area identification with OSM roads and complex graph theory. International Journal of Geographical Information Science. DOI: 10.1080/13658816.2019.1584806. (SCI/SSCI)
- [4]Marco, H., Yao, Y., Liu, Y., Zhang, J., Liu, P. & Wang, R.*. 2019. Using deep learning to examine street view green and blue spaces and their associations with geriatric depression in Beijing, China. Enviroment International. DOI: 10.1016/j.envint.2019.02.013. (SCI, co-First Author)
- [5]Wang, R., Liu, Y., Xue, D.*, Yao, Y., Liu, P., & Helbich, M. (2019). Cross-sectional associations between long-term exposure to particulate matter and depression in China: The mediating effects of sunlight, physical activity, and neighborly reciprocity. Journal of Affective Disorders. DOI: 10.1016/j.jad.2019.02.007. (SCI)
- [6]Yue, H., Guan, Q.*, Pan, Y., Chen, L., Lv, J., & Yao, Y. 2019. Detecting clusters over intercity transportation networks using K-shortest paths and hierarchical clustering: a case study of mainland China. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2019.1566551. (SCI/SSCI)
- [7]Yao, Y.*, Chen, D.*, Chen, L., Wang, H., Guan, Q. 2018. A time series of urban extent in China using DSMP/OLS nighttime light data. PLoS One. DOI: 10.1371/journal.pone.0198189. (SCI)
- [8]He, J., Li, X.*, Yao, Y.*, Hong, Y., Zhang, J. 2018. Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques. International Journal of Geographical Information Science. 10.1080/13658816.2018.1480783. (SCI)
- [9]Liang, X, Liu, X.*, Li, X.*, Chen, Y.*, Tian, H., Yao, Y. 2018. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method. Landscape and Urban Planning. 177, 47-63. DOI: j.landurbplan.2018.04.016. (SCI)
- [10]Yao, Y*, Hong, Y.*, Li, X.* & Wu D. 2018. Estimating effects of the "Communities Opening" policy on alleviating traffic congestion in China's big cities. Computers, Environment and Urban System. DOI: 10.1016/j.compenvurbsys.2018.03.005. (SSCI).2018
- [11]Yao, Y.*, Zhang, J.*, Hong, Y., Liang, H., & He, J., 2018. Mapping fine-scale urban housing prices by fusing remote-sensing images and social media data. Transactions in GIS, DOI: 10.1111/tgis.12330. (SCI检索).2018
- [12]Yao, Y., Liu, X.*, Li, X.*, Liu, P, Hong, Y., Zhang, Y., & Mai, K., 2017. Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata. International Journal of Geographical Information Science, 31(12): 2452-2479. (SCI检索).2018
- [13]Yao, Y., Li, X.*, Liu, X.*, Liu, P., Liang, Z., Zhang, J., & Mai, K., 2017. Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model. International Journal of Geographical Information Science, 31(4), 825-848. (SCI检索).2018
- [14]Yao, Y., Liu, X.*, Li, X., Zhang, J., Liang, Z., Mai, K., & Zhang, Y., 2017. Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data. International Journal of Geographical Information Science, 31(6), 1220-1244. (SCI检索).2018
- [15]Liu, X., He, J., Yao, Y.*, Zhang, J., Liang, H., Wang, H., & Hong, Y., 2017. Classifying urban land use by integrating remote sensing and social media data. International Journal of Geographical Information Science, 1-22. (SCI检索).2018
- [16]Chen, Y., Liu, X.*, Li, X., Liu, X., Yao, Y., Hu, G., Xu, X. & Pei, F., 2017. Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method. Landscape and Urban Planning, 160, 48-60. (SCI检索).2018
- [17]He, Y., Ai, B.*, Yao, Y., & Zhong, F., 2015. Deriving urban dynamic evolution rules from self-adaptive cellular automata with multi-temporal remote sensing images. International Journal of Applied Earth Observation and Geoinformation, 38, 164-174. (SCI检索).2018
- [18]姚尧, 张亚涛*, 关庆锋, 麦可, & 张金宝., 2018. 使用时序出租车轨迹识别多层次城市功能结构. 武汉大学学报·信息科学版, 待刊. (EI检索).2018
- [19]陈乐, 李郇*, 姚尧, &陈栋胜., 2018. 人口集聚对中国城市经济增长的影响分析. 地理学报, 待刊. (SSCI检索).2018
- [20]刘鹏华, 姚尧*, 梁昊, 梁兆堂, 张亚涛, & 王昊松., 2017. 耦合卡尔曼滤波和多层次聚类的中国PM2.5时空分布分析. 地球信息科学学报, 19(4), 475-485. (中文核心期刊).2018