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ZhangYan（张岩）
地图学与地理信息系统
ZhangYan（张岩）
地图学与地理信息系统
武汉大学 测绘学院 本科（2014-2018）
武汉大学 测绘学院 本科（2014-2018）
武汉大学 测绘学院 硕士 (Advisor: Prof. Yingbing Li) （2018-2020）
武汉大学 测绘学院 硕士 (Advisor: Prof. Yingbing Li) （2018-2020）
武汉大学 测绘遥感信息工程国家重点实验室 博士 (Advisor: Prof. Nengcheng Chen)（2020-2023）
武汉大学 测绘遥感信息工程国家重点实验室 博士 (Advisor: Prof. Nengcheng Chen)（2020-2023）
新加坡国立大学 建筑与环境学院 访问 (Adivisor: Prof. Filip Biljecki)（2022-2023）
新加坡国立大学 建筑与环境学院 访问 (Adivisor: Prof. Filip Biljecki)（2022-2023）
北京大学 遥感所 访问（2023）
北京大学 遥感所 访问（2023）
香港中文大学 太空与地球信息科学研究所 博士后(Advisor: Prof. Meipo Kwan)（2023-Now）
香港中文大学 太空与地球信息科学研究所 博士后(Advisor: Prof. Meipo Kwan)（2023-Now）
Cartography and Geographical Information System
Bachelor's degree, Wuhan University (2014-2018)
Master's degree, Wuhan University (Advisor: Prof. Yingbing Li) (2018-2020)
Doctor degree, Wuhan University (Advisor: Prof. Nengcheng Chen) (2020-2023)
Visit to the School of Design and Environment, National University of Singapore (Adivisor: Prof. Filip Biljecki) (2022-2023)
Visit to the Remote Sensing Institute of Peking University (2023)
Postdoctoral Fellow at the Institute of Space and Earth Information Science, The Chinese University of Hong Kong (Advisor: Prof. Meipo Kwan) (2023 Now)
欢迎关注我的微信公众号！Welcome to follow me on WeChat! (城市感知计算,sensingcity)
我叫张岩，主要研究兴趣包括社会感知及GeoAI。我在武汉大学完成了本科、硕士和博士学位的学习，导师为李英冰教授和陈能成教授。我的研究旅程包括在新加坡国立大学的城市分析实验室作为访问学者，与Filip Biljecki博士合作；以及在北京大学遥感所，与张帆博士及刘瑜教授合作。这些经历扩展了我在自然语言处理、地理标记文本、街景图像的计算机视觉和地理空间知识挖掘方面的研究兴趣。现在我在香港中文大学太空与地球信息科学研究所（导师：关美宝教授）进行博士后研究。 我在多个知名期刊上以第一或通讯作者发表了20余篇文章，这些期刊包括《Journal of Hydrology》《Building and Environment》《Sustainable Cities and Society》《International Journal of Applied Earth Observation and Geoinformation》《Computers, Environment and Urban Systems》《ISPRS Journal of Photogrammetry and Remote Sensing》《Journal of Environmental Management》《Urban Forestry & Urban Greening》《IEEE Sensors Journal》等。 在学术成就方面，我获得了武汉大学励志之星、学术创新奖和博士生国家奖学金等荣誉。我的研究强调从时空大数据的视角对城市进行感知和观测，并通过微信公众平台积极向公众进行科普。 我的研究兴趣包括：
我叫张岩，主要研究兴趣包括社会感知及GeoAI。我在武汉大学完成了本科、硕士和博士学位的学习，导师为李英冰教授和陈能成教授。我的研究旅程包括在新加坡国立大学的城市分析实验室作为访问学者，与Filip Biljecki博士合作；以及在北京大学遥感所，与张帆博士及刘瑜教授合作。这些经历扩展了我在自然语言处理、地理标记文本、街景图像的计算机视觉和地理空间知识挖掘方面的研究兴趣。现在我在香港中文大学太空与地球信息科学研究所（导师：关美宝教授）进行博士后研究。 我在多个知名期刊上以第一或通讯作者发表了20余篇文章，这些期刊包括《Journal of Hydrology》《Building and Environment》《Sustainable Cities and Society》《International Journal of Applied Earth Observation and Geoinformation》《Computers, Environment and Urban Systems》《ISPRS Journal of Photogrammetry and Remote Sensing》《Journal of Environmental Management》《Urban Forestry & Urban Greening》《IEEE Sensors Journal》等。 在学术成就方面，我获得了武汉大学励志之星、学术创新奖和博士生国家奖学金等荣誉。我的研究强调从时空大数据的视角对城市进行感知和观测，并通过微信公众平台积极向公众进行科普。 我的研究兴趣包括：
A（方法：GeoAI和社会感知）× B（城市科学、灾害应对和不平等）：
微观城市感知：专注于城市感知设备及众源数据来进行城市功能和交通建模。
灾害应急管理：整合自然语言处理技术与地理标记的社交媒体数据，实现实时、数据驱动的灾害应对决策。
社会孤立和不平等：基于时空大数据理解城市社会系统。
My name is Zhang Yan, and my main research focus is on social sensing and GeoAI. I completed my bachelor's, master's, and doctoral degrees at Wuhan University, under the guidance of Professor Li Yingbing and Professor Chen Nengcheng. My research journey includes working as a visiting scholar at the Urban Analytics Lab of the National University of Singapore, collaborating with Dr. Filip Biljecki, and at the Institute of Remote Sensing and GIS at Peking University, working with Dr. Zhang Fan and Professor Liu Yu. These experiences expanded my research interests in natural language processing, geo-tagged text, computer vision for street view images, and geospatial knowledge mining. Currently, I am conducting postdoctoral research at the Institute of Space and Earth Information Science, Chinese University of Hong Kong (Supervisor: Professor Kwan Mei-Po). I have published over 20 articles as first or corresponding author in renowned journals, including Journal of Hydrology, Building and Environment, Sustainable Cities and Society, International Journal of Applied Earth Observation and Geoinformation, Computers, Environment and Urban Systems, ISPRS Journal of Photogrammetry and Remote Sensing, Journal of Environmental Management, Urban Forestry & Urban Greening, IEEE Sensors Journal, and others. In terms of academic achievements, I have received honors such as the Wuhan University Inspirational Star, Academic Innovation Award, and National Scholarship for Doctoral Students. My research emphasizes urban perception and observation from the perspective of spatiotemporal big data, and I actively engage in science popularization through WeChat public platforms.
My research interests include: A (Method: GeoAI and social sensing) × B (urban science, disaster response, and inequality):
Micro-scale Urban Perception: Focusing on urban sensing devices and crowdsourced data for urban function and traffic modeling.
Disaster Emergency Management: Integrating NLP techniques with geo-tagged social media data for real-time, data-driven, and decision-making disaster response.
Social Isolation and Inequality: Understanding urban social systems based on spatial-temporal big data.
城市律动（dancing city）
城市律动（dancing city）
孪生校园（digital campus）
孪生校园（digital campus）
微信公众号
微信公众号
个人微信
个人微信
2024
1. Ma, H., Zhang, Y., Liu, P., Zhang, F., & Zhu, P. (2024). How does spatial structure affect psychological restoration? A method based on graph neural networks and street view imagery. Landscape and Urban Planning, 251, 105171.
2. Zhang, Y., Kwan, M.P., & Ma, H. (2024). Sensing noise exposure and its inequality based on noise complaint data through vision-language hybrid method. Applied Geography, 171, 103369.
3. He, S., Du, W., Zhang, Y., Chen, L., Chen, Z., & Chen, N. (2024). Next location prediction using heterogeneous graph-based fusion network with physical and social awareness. International Journal of Geographical Information Science, 1-26.
4. Liu, P., Zhang, Y., & Biljecki, F. (2024). Explainable spatially explicit geospatial artificial intelligence in urban analytics. Environment and Planning B: Urban Analytics and City Science, 51(5), 1104-1123.
5. Wang, W., Li, Y., Zhang, Y., & Wu, Z. (2024). Pedestrian evacuation planning under dam-break flood disaster considering road risk and road pedestrian demand. International Journal of Disaster Risk Reduction, 104, 104355.
6. Chen Z., Zou T., Xu Z., & Zhang, Y*. (2024). SAGE-GSAN: A Graph-Based Method for Estimating Urban Taxi CO Emissions Using Street View Images. Journal of Cleaner Production.
7. Zhang, Y., Li Y., & Zhang, F*. (2024). Multi-level urban street representation with street-view imagery and hybrid semantic graph. ISPRS Journal of Photogrammetry and Remote Sensing. (minor) (ESI 3%)
2023
1. Cui, Q., Zhang, Y., Yang, G., Huang, Y., & Chen, Y. (2023). Analysing gender differences in the perceived safety from street view imagery. International Journal of Applied Earth Observation and Geoinformation, 124.
2. Ma, H., Xu, Q., & Zhang, Y*. (2023). High or low? Exploring the restorative effects of visual levels on campus spaces using machine learning and street view imagery. Urban Forestry & Urban Greening, 88, 128087.
3. Zhai, W., Zhang, K., Gou, F., Cheng, H., Li, Z., & Zhang, Y. (2023). Examining supply-demand imbalances and social inequalities of regulating ecosystem services in high-density cities: A case study of Wuhan, China. Ecological Indicators, 154, 110654.
4. Zhang, Y., Zhang, F., Fang, L., & Chen, N. (2023). Inferring socioeconomic environment from built environment characteristics based street view images: An approach of Seq2Seq method. International Journal of Applied Earth Observation and Geoinformation, 123.
5. Zheng, X., Li, M., Wan, Z., & Zhang, Y. (2023). Knowledge mining and graph visualization of ancient Chinese scientific and technological documents bibliographic summaries based on digital humanities. Library Hi Tech.
6. Wang, P., Zhang, Y., Hu, T., & Zhang, T. (2023). Urban traffic flow prediction: A dynamic temporal graph network considering missing values. International Journal of Geographical Information Science, 37(4), 885-912.
7. Zhang, Y., Liu, P., & Biljecki, F. (2023). Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image. ISPRS Journal of Photogrammetry and Remote Sensing, 198, 153-168. (ESI 3%)
8. Wang, S., Zhang, X., Chen, N., Tian, L., Zhang, Y., & Nam, W.H. (2023). A systematic review and quantitative meta-analysis of the relationships between driving forces and cyanobacterial blooms at global scale. Environmental Research, 216, 114670.
9. Zhang, Y., Chen, N., Wang, S., Wen, M., & Chen, Z. (2023). Will carbon trading reduce spatial inequality? A spatial analysis of 200 cities in China. Journal of Environmental Management, 325, 116402.
2022
1. Li, Y., Zhang, Y*., & Chen, M. (2022). Highway Vehicle Route Reconstruction Using Sparse and Noisy Communication Base Station Fingerprints. IEEE Sensors Journal, 22(22), 22040-22052.
2. Liu, J., Chen, N., Chen, Z., Xu, L., Du, W., Zhang, Y., & Wang, C. (2022). Towards sustainable smart cities: Maturity assessment and development pattern recognition in China. Journal of Cleaner Production, 370, 133248.
3. Zhang, Y., Zheng, X., Helbich, M., Chen, N., & Chen, Z. (2022). City2vec: Urban knowledge discovery based on population mobile network. Sustainable Cities and Society, 85, 104000.
4. Zhang, Y., Zhang, F., & Chen, N. (2022). Migratable urban street scene sensing method based on vision language pre-trained model. International Journal of Applied Earth Observation and Geoinformation, 113.
5. Wang, C., Ma, L., Zhang, Y., Chen, N., & Wang, W. (2022). Spatiotemporal dynamics of wetlands and their driving factors based on PLS-SEM: A case study in Wuhan. Science of the Total Environment, 806, 151310.
2021
1. Zhang, Y., Chen, Z., Zheng, X., Chen, N., & Wang, Y. (2021). Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data. Journal of Hydrology, 603, 127053.
2. Zhang, Y., Chen, N., Du, W., Li, Y., & Zheng, X. (2021). Multi-source sensor based urban habitat and resident health sensing: A case study of Wuhan, China. Building and Environment, 198, 107883.
3. Chen, N., Zhang, Y.*, Du, W.*, Li, Y., Chen, M., & Zheng, X. (2021). KE-CNN: A new social sensing method for extracting geographical attributes from text semantic features and its application in Wuhan, China. Computers, Environment and Urban Systems, 88, 101629.
4. Zhang, Y., Zheng, X., Chen, M., Li, Y., Yan, Y., & Wang, P. (2021). Urban fine-grained spatial structure detection based on a new traffic flow interaction analysis framework. ISPRS International Journal of Geo-Information, 10(4), 227.
5. 唐海吉, 李英冰, & 张岩 (2021). 基于空间网格和 AHP 熵值法的武汉内涝风险评估. 城市勘测, 18-23.
2020
1. Zhang, Y., Chen, N., Du, W., Yao, S., & Zheng, X. (2020). A new geo-propagation model of event evolution chain based on public opinion and epidemic coupling. International Journal of Environmental Research and Public Health, 17(24), 9235.
2. 张岩, 李英冰, & 郑翔 (2020). 基于微博数据的台风 "山竹" 舆情演化时空分析. 山东大学学报 (工学版), 50(5), 118-126.
3. 张岩, 李英冰, & 郑翔 (2020). 人口迁徙格局在重大突发公共卫生事件的时空关联性研究. 测绘地理信息.
4. Zhang, Y., Li, Y., Yang, B., Zheng, X., & Chen, M. (2020). Risk assessment of COVID-19 based on multisource data from a geographical viewpoint. IEEE Access, 8, 125702-125713.
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