9 citations as recorded by crossref.

1. GeoFM: how will geo-foundation models reshape spatial data science and GeoAI? K. Janowicz et al. https://doi.org/10.1080/13658816.2025.2543038
2. Remote Sensing Retrieval-Augmented Generation: Bridging remote sensing imagery and comprehensive knowledge with a multimodal dataset and retrieval-augmented generation model C. Wen et al. https://doi.org/10.1109/MGRS.2025.3645852
3. GeoPriorclip: a foundational remote sensing vision-language model enhanced with cascaded geographic information priors A. Liang et al. https://doi.org/10.1080/10095020.2026.2619233
4. Vision-Language Modeling Meets Remote Sensing: Models, datasets, and perspectives X. Weng et al. https://doi.org/10.1109/MGRS.2025.3572702
5. Satellite Image Synthesis From Street View With Fine-Grained Spatial Textual Guidance: A novel framework J. Ye et al. https://doi.org/10.1109/MGRS.2025.3585358
6. A Training-Free Paradigm for Data-Scarce Maritime Scene Classification Using Vision-Language Models J. Wu et al. https://doi.org/10.3390/s26082549
7. Multispectral Image Caption Unification Using Diffusion and Cycle GAN Models K. Komurcu & L. Petkevicius https://doi.org/10.1109/ACCESS.2025.3632152
8. A large-scale image–text dataset benchmark for farmland segmentation C. Tao et al. https://doi.org/10.5194/essd-17-4835-2025
9. ChatEarthBench: Benchmarking multimodal large language models for Earth observation Z. Yuan et al. https://doi.org/10.1109/MGRS.2026.3650840