16 citations as recorded by crossref.

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2. Trans-Compiler-Based Conversion from Cross-Platform Applications to Native Applications A. Mahmoud et al. https://doi.org/10.33166/AETiC.2024.04.001
3. MobilityDL: a review of deep learning from trajectory data A. Graser et al. https://doi.org/10.1007/s10707-024-00518-8
4. Global open data in local urban development: an actionable framework for adopting Global Human Settlement Layer (GHSL) in the Global South S. Sikder et al. https://doi.org/10.1080/29931282.2025.2518428
5. Benchmarking AI Inference Efficiency in Public and Private Clouds: An MLPerf-Based Comparative Study C. Beitsayadeh & P. Darbyshire https://doi.org/10.1109/TCC.2026.3674888
6. Spatiotemporal Model Cards Enabling Future-Proof GeoAI Systems A. Graser et al. https://doi.org/10.1145/3809183
7. Sustainability in large language model supply chains-insights and recommendations using analysis of utility for affecting factors V. Mishra et al. https://doi.org/10.1038/s41598-025-17937-8
8. A streamlined approach to uncertainty and sensitivity analysis for models with spatial outputs with an example from geodiversity assessment A. Ligmann-Zielinska et al. https://doi.org/10.1080/13658816.2024.2348065
9. On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) G. Mai et al. https://doi.org/10.1145/3653070
10. An infographic framework of GeoAI ethics based on news data C. Chen et al. https://doi.org/10.1080/15230406.2025.2593949
11. Reasoning cartographic knowledge in deep learning-based map generalization with explainable AI C. Fu et al. https://doi.org/10.1080/13658816.2024.2369535
12. Evaluating GeoAI tools for urban resilience and sustainability: a survey-based analysis of disaster preparedness, climate adaptation, and adoption barriers using the technology acceptance model (TAM) A. Alkherret et al. https://doi.org/10.3389/fbuil.2026.1768360
13. Risks and Realities of Speculative Ethics: Lessons from Nanotechnology for the Artificial Intelligence Discourse Y. Suchikova https://doi.org/10.1007/s11569-025-00477-w
14. Human-centered GeoAI foundation models: where GeoAI meets human dynamics X. Ye et al. https://doi.org/10.1007/s44212-025-00067-x
15. Carbon Emission Quantification of Machine Learning: A Review S. Hasan et al. https://doi.org/10.1109/TSUSC.2025.3578834
16. Geography for AI sustainability and sustainability for GeoAI M. Shi et al. https://doi.org/10.1080/15230406.2025.2479796