9 citations as recorded by crossref.

1. A computer vision approach for detecting discrepancies in map textual labels A. Salama et al. https://doi.org/10.1007/s10619-025-07453-z
2. Digitizing Karachi's Decades-Old Cadastral Maps: Leveraging Unsupervised Machine Learning and GEOBIA for Digitization M. Ahmed et al. https://doi.org/10.48084/etasr.7280
3. Computational mapping of historic built environments in American cities from Sanborn maps: A case from the Chicago Urban Heritage Project P. Otto & Y. Lin https://doi.org/10.1177/23998083261466497
4. Semantic segmentation of historical maps using Self-Constructing Graph Convolutional Networks L. Arzoumanidis et al. https://doi.org/10.1080/15230406.2025.2468304
5. THE ROLE OF GEOSPATIAL ARTIFICIAL INTELLIGENCE (GEOAI) IN SMART BUILT ENVIRONMENT MAPPING: AUTOMATIC OBJECT DETECTION OF RASTER TOPOGRAPHIC MAPS IN MALAYSIA S. Jaafar et al. https://doi.org/10.21837/pm.v22i34.1589
6. Combining Remote-Sensing-Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents J. Uhl et al. https://doi.org/10.3390/rs13183672
7. Building Block Extraction from Historical Maps Using Deep Object Attention Networks Y. Zhao et al. https://doi.org/10.3390/ijgi11110572
8. A Holistic Workflow for Semi-automated Object Extraction from Large-Scale Historical Maps I. Schlegel https://doi.org/10.1007/s42489-023-00131-z
9. An Automated Georeferencing Workflow for Processing Historical Sanborn Fire Insurance Maps Using Object Detection and Optical Character Recognition M. Shensky et al. https://doi.org/10.1080/15420353.2025.2462737