【国内经历】 2025-07 至 今, 中国科学院空天信息创新研究院, 遥感与数字地球全国重点实验室, 研究员 2019-03 至 2020-02, 中山大学, 地理科学与规划学院, 副教授 【国外经历】 2022-05 至 2025-07, 林肯大学, 地理系, 高级讲师 2020-02 至 2022-05, 斯旺西大学, 地理系, 讲师 2016-03 至 2019-01, 格拉斯哥大学, 博士后 2015-12 至 2016-02, 海德堡大学, 博士后 |
【出版著作与教材】 【发表论文】已在国内外学术刊物发表学术论文60余篇,主要包括: [1] Sun, Y., Xie, J., Wang, Y., Chan, T.O., & Sun, Z.Y. (2024). Mapping local-scale working population and daytime population densities using points-of-interest and nighttime light satellite imageries. Geo-spatial Information Science, 27(6), 1852–1867. [2] Sun, Y., Wang, S., Zhang, X., Chan, T.O. & Wu, W. (2021). Estimating local-scale domestic electricity energy consumption using demographic, nighttime light imagery and Twitter data. Energy, 226, 120351. [3] Sun, Y. & Thakuriah, P. (2021). Public transport availability inequalities and transport poverty risk across England. Environment and Planning B: Urban Analytics and City Science, 48(9), 2775-2789. [4] Sun, Y., Wang, S., Xie, J., & Hu, X. (2020). Modelling local-scale violent crime rate: a comparison of eigenvector spatial filtering models and conventional spatial regression models. Professional Geographer, 73(2), 312-321. [5] Sun, Y., Wang, S., & Wang, Y. (2020). Estimating local-scale urban heat island intensity using nighttime light satellite imageries. Sustainable Cities and Society, 57, 102125. [6] Sun, Y., Hu, X., & Xie, J. (2020). Spatial inequalities of COVID-19 mortality rate in relation to socioeconomic and environmental factors across England. Science of the Total Environment, 758, 143595. [7] Sun, Y., Moshfeghi, Y. and Liu, Z. (2017). Exploiting crowdsourced geographic information and GIS for assessment of air pollution exposure during active travel. Journal of Transport & Health, 6, 93-104. [8] Sun, Y., Mburua, L. and Wang, S. (2016). Analysis of community properties and node properties to understand the structure of the bus transport network. Physica A: Statistical Mechanics and its Applications, 450, 523-530. [9] Sun, Y., Fan, H., Li, M. and Zipf, A. (2016). Identifying the city center using human travel flows generated from location-based social networking data. Environment and Planning B, 43(3), 480-498. [10] Sun, Y., Fan, H., Bakillah, M. and Zipf, A. (2015). Road-based Travel Recommendation Using Geo-tagged Images. Computers, Environment and Urban Systems, 53, 110–122. |