11 citations as recorded by crossref.

1. Statistical atlas of European agriculture: gridded data from the agricultural census 2020 and the spatial distribution of CAP contextual indicators N. Lampach et al. https://doi.org/10.5194/essd-17-3893-2025
2. Earth observation derived yield forecasting and estimation in low- and lower-middle-income countries dominated by smallholder agriculture: A review F. Li et al. https://doi.org/10.1016/j.jag.2026.105216
3. TMF: Temporal multi-modal fusion framework for estimating wheat yield from multi-source satellite and environmental data across the European Union Z. Lin et al. https://doi.org/10.1016/j.isprsjprs.2026.05.041
4. Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020 X. Qin et al. https://doi.org/10.1038/s41597-024-04248-2
5. Unraveling the impact of environmental factors on wheat yield across the European Union via explainable machine learning W. Zhou et al. https://doi.org/10.1016/j.compag.2025.111268
6. Quantifying the impact of an abrupt reduction in mineral nitrogen fertilization on crop yield in the European Union F. Pacifico et al. https://doi.org/10.1016/j.scitotenv.2024.176692
7. The equalizing role of social capital: evidence from european regions F. Colcerasa et al. https://doi.org/10.1007/s11403-025-00470-2
8. CY-Bench: a comprehensive benchmark dataset for sub-national crop yield forecasting M. Kallenberg et al. https://doi.org/10.5194/essd-18-3997-2026
9. Comprehensive Collection of EU-27 crops statistics: a harmonized regional dataset of area and production A. Tani et al. https://doi.org/10.1038/s41597-025-05436-4
10. Diag-STFN: A diagnostic spatiotemporal multimodal fusion network for global pre-harvest crop yield forecasting H. Zhuang et al. https://doi.org/10.1016/j.ecoinf.2026.103860
11. Amplified agricultural impacts from more frequent and intense sequential heat events R. Hamed et al. https://doi.org/10.1088/1748-9326/ae06b8