References

• 2015Social Sensing: A New Approach to Understanding Our Socioeconomic Environments807 cited
• 2016Sensing spatial distribution of urban land use by integrating points-of-interest and Google Word2Vec model490 cited
• 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks482 cited
• 2012Urban land uses and traffic ‘source-sink areas’: Evidence from GPS-enabled taxi data in Shanghai429 cited
• 2014A new insight into land use classification based on aggregated mobile phone data406 cited
• 2016Mapping Urban Land Use by Using Landsat Images and Open Social Data389 cited
• 2017Classifying urban land use by integrating remote sensing and social media data368 cited
• 2017Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns308 cited
• 2012Land-Use Classification Using Taxi GPS Traces297 cited
• 2019Portraying the spatial dynamics of urban vibrancy using multisource urban big data273 cited
• 2018Spatial variations in urban public ridership derived from GPS trajectories and smart card data251 cited
• 2019Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns194 cited
• 2018Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data133 cited