9 citations as recorded by crossref.

1. A GIS based spatiotemporal modelling approach for cycling risk mapping using crowd-sourced sensor data B. Feizizadeh & D. Omarzadeh https://doi.org/10.1080/19475683.2025.2453550
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3. Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI C. Fu et al. https://doi.org/10.1080/13658816.2024.2369535
4. RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks H. Guo et al. https://doi.org/10.1080/24694452.2025.2558661
5. MobilityDL: a review of deep learning from trajectory data A. Graser et al. https://doi.org/10.1007/s10707-024-00518-8
6. The unknown-known trap: navigating invisible expertise boundaries in machine learning G. Toscani https://doi.org/10.1007/s00146-026-03120-8
7. Geographical and linguistic perspectives on developing geoparsers with generic resources T. Leppämäki et al. https://doi.org/10.1080/13658816.2024.2369539
8. GIScience III: Questions of time M. Wilson https://doi.org/10.1177/03091325221131629
9. Urban Visual Intelligence: Studying Cities with Artificial Intelligence and Street-Level Imagery F. Zhang et al. https://doi.org/10.1080/24694452.2024.2313515