1，Books
2012, Zhao Yaolong, Chapter 4 and 15, Progress in Geospatial Analysis, Murayama, Yuji (Ed.), Springer Press. 291p.
2011, Zhao Yaolong, Chapters 2，4, 5, and 10. Spatial Analysis and Modeling in Geographical Transformation Process, Murayama, Yuji; Thapa, Rajesh Bahadur (Eds.), Springer Press
2，Reviewed papers（*Corresponding author）
2024, Chao Zihao, Zhao Yaolong*, Fang Subin, Chen Danying. Spatial diffusion processes of Gelugpa monasteries of Tibetan Buddhism in Tibetan areas of China utilizing the multi-level diffusion model. Geo-spatial Information Science. 27(1): 64-81, https://doi.org/10.1080/10095020.2022.2108345 (SCI)
2024, Ke Entong, Zhao Juchao, Zhao Yaolong*, Wu Jiazhe, Xu Tao. Coupled and collaborative optimization model of impervious surfaces and drainage systems from the flooding mitigation perspective for urban renewal, Science of the Total Environment, Volume 917, 20 March 2024, 170202 (SCI)
2024, Zhao Juchao, Zhang Chunbo, Wangjin, Abbs Zaheer, Zhao Yaolong*. Machine learning and SHAP-based susceptibility assessment of storm flood in rapidly urbanizing areas: a case study of Shenzhen, China, Geomatics, Natural Hazards and Risk, 15(1): 2311889 (SCI)
2024, Chen Danying, Zhao Yaolong*, Chao Zihao, Li Yuchen, Fang Subin. Constructing a digital system of historical geographic information from the perspective of digital humanities: a case study of the historical geographic information database of Tibetan Buddhist monasteries, Digital Scholarship in the Humanities, 2024, fqad103, https://doi.org/10.1093/llc/fqad103 (SSCI, AHCI)
2024, Zhao Juchao, Ke Entong, Wang Bin, Zhao Yaolong*. An optimization model for the impervious surface spatial layout considering differences in hydrological unit conditions for urban waterlogging prevention in urban renewal. Ecological Indicators. 2024(158): 111546 (SCI)
2023, Zhao Juchao, Wang Jin, Abbas Zaheer, Yang Yao and Zhao Yaolong*. Ensemble learning analysis of influencing factors on the distribution of urban flood risk points: a case study of Guangzhou, China. Frontiers in Earth Science. 2023(11) ：1042088. doi: 10.3389/feart.2023.1042088 （SCI）
2023, Zhang Chunbo, Xu Tao, Wang Teng and Zhao Yaolong*. Spatial-temporal evolution of influencing mechanism of urban flooding in the Guangdong Hong Kong Macao greater bay area, China. Frontiers in Earth Science. 2023(10) ：1113997. doi: 10.3389/feart.2022.1113997 (SCI)
2022, Li Le, Zheng Siyan, Zhao Kefei, Shen Kejian, Yan Xiaolu, Zhao Yaolong. The quantitative impact of the arable land protection policy on the landscape of farmland abandonment in Guangdong Province. Remote Sensing, 2022, 14, 4991. https://doi.org/10.3390/rs14194991 (SCI)
2022, Fang Subin, Zhao Yaolong*, Chao Zihao, Kang Xinyi. Spatial distribution characteristics and influencing factors of Tibetan Buddhist Monasteries in Amdo Tibetan inhabited regions, China. Journal of Geovisualization and Spatial Analysis, 6, 29 (2022). https://doi.org/10.1007/s41651-022-00124-y (ESCI)
2022, Li Yuchen, Abbas Zaheer, Chen Danying, Zhu Ziyang, Guo Haijing and Zhao Yalong*. The eco-environmental changes in typical coastal zones of southern China from 1987 to 2020: a case study of Guangdong coastal counties. Frontiers in Environmental Science. (10): 874364. doi: 10.3389/fenvs.2022.874364 (SCI)
2022, Zaheer Abbas, Zhu Ziyang, Zhao Yaolong*. Spatiotemporal analysis of landscape pattern and structure in the Greater Bay Area, China. Earth Science Informatics. 2022(3). https://doi.org/10.1007/s12145-022-00782-y (SCI)
2022, Li Bin, Liu Yefei, Xing Hanfa, Meng Yuan, Yang Guang, Liu Xiaoding, Zhao, Yaolong*. Integrating urban morphology and land surface temperature characteristics for urban functional area classification. Geo-Spatial Information Science. 2022(1), DOI: 10.1080/10095020.2021.2021786 (SCI)
2022, Wang Jin, Zhao, Yaolong*, Fu Yingchun, Xia Lili, Chen Jinson. Improving LSMA for impervious surface estimation in an urban area. European Journal of Remote Sensing, 55(1): 37-51（SCI）
2021, Chao, Zihao, Zhao, Yaolong*, Liu, Guilin. Multi-scale spatial patterns of Gelugpa monasteries of Tibetan Buddhism in Tibetan Inhabited Regions, China. GeoJournal (2021). https://doi.org/10.1007/s10708-021-10501-7 (ESCI, EI)
2021, Di Kai, Hu Zhongmin, Wang Mei, Cao Ruochen, Liang Minqi, Wu Genan, Chen Ruru, Hao Guancun, Zhao Yaolong. Recent greening of grasslands in northern China driven by increasing precipitation. Journal of Plant Ecology.14(5):843-853（SCI）
2021, Zaheer Abbas, Yang Guang, Zhong Yuanjun, Zhao Yaolong. Spatiotemporal Change Analysis and Future Scenario of LULC Using the CA-ANN Approach: A Case Study of the Greater Bay Area, China. Land, 10(6), 584; https://doi.org/10.3390/land10060584 (SSCI)
2021, Yu Huafei, Zhao Yaolong*, Xu Tao, Li Jiufeng, Tang Xianzhe, Wang Fangfang, Fu Yingchun. A high-efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal. Transactions in GIS, 25 (4): 1716-1740 https://doi.org/10.1111/tgis.12757 (SSCI)
2021, Liu Fan, Liu Xiaoding, Xu Tao, Yang Gang, Zhao Yaolong*. Driving Factors and Risk Assessment of Rainstorm Waterlogging in Urban Agglomeration Areas: A Case Study of the Guangdong-Hong Kong-Macao Greater Bay Area, China. Water. 2021; 13(6):770. https://doi.org/10.3390/w13060770 (SCI)
2020, Yang Guang, Fang Shenghui, Gong Wenbing, Zhao Yaolong, Ge Mengyu. Evaluating the reliability of time series land cover maps by exploiting the hidden Markov model. Stochastic Environmental Research and Risk Assessment, https://doi.org/10.1007/s00477-020-01915-9（SCI）
2020, Liu Fan, Zhao Yaolong*, Rizwan Muhammad, Xiaoding Liu, Mingqiang Chen. Impervious surface expansion: A key indicator for environment and urban agglomeration—a case study of guangdong-hong kong-macao greater bay area by using landsat data. Journal of Sensors. Vol. 2020, Article ID 3896589, 21pages (SCI)
2020, Li Jiufeng, Wang Fangfang, Fu Yingchun, Guo Biyun, Zhao Yaolong, Yu Huafei. A Novel SUHI Referenced Estimation Method for Multicenters Urban Agglomeration using DMSPOLS Nighttime Light Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, pp. 1416-1425 (SCI)
2020, Yang Guang, Zhao Yaolong*, Xing Hanfa, Fu Yingchun, Liu Guilin, Kang Xinyi, Mai Xin. Understanding the changes in spatial fairness of urban greenery using time-series remote sensing images: A case study of Guangdong-Hong Kong-Macao Greater Bay. Science of the Total Environment, Volume 715, 1 May 2020, 136763: https://doi.org/10.1016/j.scitotenv.2020.136763 (SCI)
2019，Li Le, Ao Zurui, Zhao Yaolong, Liu Xulong. Impacts of Rapid Socioeconomic Development on Cropping Intensity Dynamics in China during 2001–2016. ISPRS International Journal of Geo-Information. 8(11), 519 (SCI)
2019, Yu Huafei, Zhao Yaolong*, Fu Yingchun. Optimization of impervious surface space layout for prevention of urban rainstorm waterlogging: a case study of Guangzhou, China. International Journal of Environmental Research and Public Health. 16(19), 3613. (SSCI, SCI)
2019，Rizwan Muhammad, Zhao Yaolong*, Liu Fan. Spatiotemporal analysis to observe gender based check-in behavior by using social media big data: A case study of Guangzhou, China. Sustainability, 2019, 11: 2822. (SSCI, SCI)
2019, Yang Guang, Zhao Yaolong*, Li Baoxin, Ma Yuntao, Li Ruren, Jing Jiangbo, Dian Yuanyong. Tree species classification by employing multiple features acquired from integrated sensors. Journal of Sensors, Vol. 2019, Article ID 3247946, 12 pages. (SCI)
2018，Yu Huafei, Zhao Yaolong*, Fu Yingchun, Li Le. Spatiotemporal variance assessment of urban
rainstorm waterlogging affected by impervious surface expansion: a case study of Guangzhou, China. Sustainability, 2018, 10(10): 3761. (SSCI, SCI)
2018, Li Le, Zhao Yaolong, Fu Yingchun, Xin Qinchuan. Satellite-Based Models Need Improvements on Simulating Annual Gross Primary Productivity: A Comparison of Six Models for Regional Modeling of Deciduous Broadleaf Forests. Remote Sensing, 2018, 10(7), 1008. (SCI)
2018, Tan Xianzhe, Shu Yuqin, Lian Yanqing, Zhao Yaolong, Fu Yingchun. A spatial assessment of urban waterlogging risk based on a Weighted Naïve Bayes classifier. Science of the Total Environment, 630(2018), 264-274. (SCI)
2017, Li Le, Zhao Yaolong*, Fu Yingchun, Pan Yaozhong, Yu Le, Xin Qinchuan. High Resolution Mapping of Cropping Cycles byFusion of Landsat and MODIS Data. Remote Sensing, 2017, 9, 1232. (SCI)
2015, Jizhe Xia, Kevin M. Curtin, Weihong Li, and Yaolong Zhao. A New Model for a Carpool Matching Service. PLOS ONE, 10(6)：e0129257 （SCI）
2014, Fu Yingchun, Tang Congguo, Li Jun, Zhao Yaolong*, Zhong Wei, Zeng Xiantie. Sources and transport of organic carbon from the Dongjiang River to the Humen outlet of the Pearl, Journal of Geographical Sciences, 24(1), 143-158.（SCI）
2013, Fu Yingchun, Lu Xueyu, Zhao Yaolong*, Zeng Xiantie, Xia Lili. Assessment impacts of climate and LULC changes on urban carbon sequestration: a case study in Guangzhou, China. Remote Sensing, 5(8), 4125-4144（SCI）
2013, Fu Yingchun, Guo Taisheng, Zhao Yaolong. Effects of LUCC on Soil Organic Carbon Variations in the Dongjiang of the Pearl River Delta, China.2013. International Journal of Digital Content Technology and its Applications, 7(2), 731-739
2013, Fu Yingchun, Zhao Yaolong, Zhang Yongrui, Guo Taisheng, He Ziwei, Chen Jingyi. GIS and ANN-based spatial prediction of DOC in river networks: a case study in Dongjiang, Southern China. Environmental Earth Sciences, 68(5): 1495-1505 (SCI)
2012, Zhao Yaolong, Zhang Ke, Fu Yingchun, and Zhang Hong. Examining land-use/land-cover change in the Lake Dianchi watershed of the Yunnan-Guizhou plateau of southwest China with remote sensing and GIS techniques: 1974–2008. International Journal of Environmental Research and Public Health. 9(11), 3843-3865. (SCI)
2012, Zhang Ke, Zhao Yaolong* and Zhang Hong. Monitoring land use/land cover changes of Kunming city based on remote sensing technology and spatial metrics. IEEE GeoInformatics 2012, 1-5.（EI）
2011, Zhao Yaolong, Cui Bingliang and Murayama Yuji. Characteristics of neighborhood interaction in urban land-use changes: a comparative study between three metropolitan areas of Japan. Journal of Geographical Sciences, 21(1), 65-78.（SCI）
2010, Zhao Yaolong. “One Map”-based land information system. IEEE 2010 International Conference on E-Business and E-Government, 687-690. （EI）
2010, Zhao Yaolong, Dong Fei and Zhang Hong. Should neighborhood effect be stable in urban geosimulation model? A case study of Tokyo. Lecture Notes in Computer Science, 6016, 134-143. （EI）
2009, Li Yan, Zhao Yaolong* and Gui Renyi. Spatio-temporal analysis of farmland change in Yunnan province: 1996-2008. In: Wu G., Deng J., Lei Y. and Wan L. eds., Life, Environment and Energy. Geological Publishing House, 56-61.
2009, Zhang Xiaoling, Zhao Yaolong and Zhu Lanyan. Intensive use of Kunming urban land at macro scale, Yunnan province. In: Wu G., Deng J., Lei Y. and Wan L. eds., Life, Environment and Energy. Geological Publishing House, 532-538.
2009, Zhao Yaolong and Murayama Yuji. Characteristics of neighborhood interaction in urban growth: same for different areas? Urban Development, Planning and Governance in Globalization, IGU Urban Commission
2008, Zhao Yaolong，Junsan Zhao and Murayama Yuji. Modeling and predicting urban growth pattern of the Tokyo metropolitan area based on cellular automata. Proc. SPIE, Vol. 7143, 71431Q. （EI）
2007, Zhao Yaolong and Murayama Yuji. Urban growth in the Tokyo metropolitan area: Insight from urban form and landscape. In: Yan X. and Xue, D. eds., Urban Development, Planning and Governance in Globalization. IGU Urban Commission. Sun Yat-Sen University Press, 371-389.
2007, Zhao Yaolong and Murayama Yuji. A new method to model neighborhood interaction in Cellular Automata-based urban geosimulation. Lecture Notes in Computer Science, 4488, 550-557. （EI）
2006, Zhao Yaolong and Murayama Yuji. Urban dynamics analysis using spatial metrics: A case study of Yokohama city.Tsukuba Geoenvironmental Sciences, 2, 9-18.
2006, Zhao Yaolong and Murayama Yuji. Effect of spatial scale on urban land-use pattern analysis in different classification systems: An empirical study in the CBD of Tokyo. Theory and Applications of GIS, 14(1), 29-42.
2005, Zhao Yaolong, Murayama Yuji. Effect characteristics of spatial resolution on the analysis of urban land use pattern: a case study of CBD in Tokyo using spatial autocorrelation index. In: Murayama, Y. and Du, G.., eds., Cities in Global Perspective: Diversity and Transition. IGU Urban Commission, Tokyo, 585-594.
2005, Zhao Junsan, Zhao Yaolong, Zhao Qiaogui. The data center implementation of land and resources information management in provincial level. In: Murayama, Y. and Du, G.., eds., Cities in Global Perspective: Diversity and Transition. IGU Urban Commission, Tokyo, 559-567.
2005, Zhao Yaolong, Murayama Yuji, Zhang Yumin. Field-based fuzzy spatial reasoning model for Geographical Information Systems: Case of constraint satisfaction problem. Theory and Applications of GIS, 13(1), 21-31.