References

• 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
• 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
• 2017Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns298 cited
• 2018Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs258 cited
• 2021Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London132 cited
• 2022Estimating urban functional distributions with semantics preserved POI embedding121 cited
• 2022A framework for urban land use classification by integrating the spatial context of points of interest and graph convolutional neural network method97 cited
• 2019Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population80 cited
• 2019Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations78 cited
• 2018Learning Urban Community Structures68 cited
• 2019Adversarial Substructured Representation Learning for Mobile User Profiling63 cited
• 2022Multi-Graph Fusion Networks for Urban Region Embedding57 cited
• 2016A Spatial-Temporal Topic Model for the Semantic Annotation of POIs in LBSNs41 cited