10 citations as recorded by crossref.

1. Learning from vector data: enhancing vector-based shape encoding and shape classification for map generalization purposes M. Knura 10.1080/15230406.2023.2273397
2. Determining the optimal generalization operators for building footprints using an improved graph neural network model X. Niu et al. 10.1080/10106049.2024.2306265
3. A Comparative Study of Various Deep Learning Approaches to Shape Encoding of Planar Geospatial Objects X. Yan & M. Yang 10.3390/ijgi11100527
4. DeepMapScaler: a workflow of deep neural networks for the generation of generalised maps A. Courtial et al. 10.1080/15230406.2023.2267419
5. Keeping walls straight: data model and training set size matter for deep learning in building generalization C. Fu et al. 10.1080/15230406.2023.2264757
6. Machine learning in cartography L. Harrie et al. 10.1080/15230406.2023.2295948
7. An Assessment of the Map-Style Influence on Generalization with CycleGAN: Taking Line Features as an Example H. Yu et al. 10.3390/ijgi13120418
8. An Improved Generative Adversarial Network for Generating Multi-Scale Electronic Map Tiles Considering Cartographic Requirements W. Zhu et al. 10.3390/ijgi13110398
9. Incorporating ideas of structure and meaning in interactive multi scale mapping environments G. Touya et al. 10.1080/23729333.2023.2215960
10. Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI C. Fu et al. 10.1080/13658816.2024.2369535