References

• 2004Tobler's First Law and Spatial Analysis904 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
• 2023TRNN: An efficient time-series recurrent neural network for stock price prediction191 cited
• 2020Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data178 cited
• 2022Estimating urban functional distributions with semantics preserved POI embedding121 cited
• 2020The Traj2Vec model to quantify residents’ spatial trajectories and estimate the proportions of urban land-use types70 cited
• 2023A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation56 cited
• 2023Recognizing mixed urban functions from human activities using representation learning methods42 cited
• 2023Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China37 cited
• 2015Mobile phone usage in complex urban systems: a space–time, aggregated human activity study36 cited
• 2023A Novel Graph-Based Framework for Classifying Urban Functional Zones with Multisource Data and Human Mobility Patterns32 cited
• 2023Reconstructing human activities via coupling mobile phone data with location-based social networks