14 citations as recorded by crossref.

1. RS5M and GeoRSCLIP: A Large-Scale Vision- Language Dataset and a Large Vision-Language Model for Remote Sensing Z. Zhang et al. 10.1109/TGRS.2024.3449154
2. Current topics and challenges in geoAI K. Richter & S. Scheider 10.1007/s13218-022-00796-0
3. A review of location encoding for GeoAI: methods and applications G. Mai et al. 10.1080/13658816.2021.2004602
4. Analyzing Geographic Questions Using Embedding-based Topic Modeling J. Yang et al. 10.3390/ijgi12020052
5. Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages Y. Hu et al. 10.1080/13658816.2023.2266495
6. AugGKG: a grid-augmented geographic knowledge graph representation and spatio-temporal query model B. Han et al. 10.1080/17538947.2023.2290569
7. Spatial Semantics for the Evaluation of Administrative Geospatial Ontologies A. Abdelmoty et al. 10.3390/ijgi13080291
8. Review, framework, and future perspectives of Geographic Knowledge Graph (GeoKG) quality assessment S. Wang et al. 10.1080/10095020.2024.2403785
9. A grammar for interpreting geo-analytical questions as concept transformations H. Xu et al. 10.1080/13658816.2022.2077947
10. On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) G. Mai et al. 10.1145/3653070
11. Towards general-purpose representation learning of polygonal geometries G. Mai et al. 10.1007/s10707-022-00481-2
12. A Deep Learning Model of Spatial Distance and Named Entity Recognition (SD-NER) for Flood Mark Text Classification R. Szczepanek 10.3390/w15061197
13. Latent Representation Learning for Geospatial Entities W. Lee & H. Lauw 10.1145/3663474
14. GeoAI S. Scheider & K. Richter 10.1007/s13218-022-00797-z