13 citations as recorded by crossref.

1. Annual 10 m Mapping of Winter Fallow Fields in the Wanjiang Plain Using Sentinel-1/2 and a Random Forest–FR-Net Framework: Dynamics and Environmental Associations S. Chen et al. https://doi.org/10.3390/ijgi15030123
2. Global crop suitability datasets for 17 crops under present (2024) and future climate scenarios (2041–2100) T. Wang & J. Dong https://doi.org/10.1038/s41597-026-06688-4
3. Progress and Perspectives of Crop Type Mapping With Remote Sensing: A review J. Huang et al. https://doi.org/10.1109/MGRS.2025.3648119
4. An efficient and transferable remote sensing spectral index for regional corn mapping M. Han & J. Chai https://doi.org/10.1016/j.srs.2025.100308
5. Evaluating the Performance of Satellite-Derived Vegetation Indices in Gross Primary Productivity (GPP) Estimation at 30 m and 500 m Spatial Resolution D. Cao et al. https://doi.org/10.3390/rs17193291
6. Remote sensing for crop mapping: A perspective on current and future crop-specific land cover data products C. Zhang et al. https://doi.org/10.1016/j.rse.2025.114995
7. CN_Wheat10: a 10 m resolution dataset of spring and winter wheat distribution in China (2018–2024) derived from time-series remote sensing M. Liu et al. https://doi.org/10.5194/essd-18-465-2026
8. Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation J. Li et al. https://doi.org/10.3389/fpls.2025.1640806
9. A 30 m Multi-Year Dataset of Major Crop Distributions in Xinjiang, China (2013–2024) Based on Harmonized Landsat–Sentinel-2 Data Q. Liang et al. https://doi.org/10.1038/s41597-026-07082-w
10. A 30-m annual distribution dataset of major crops in China from 2001-2024 Y. Fu et al. https://doi.org/10.1038/s41597-026-07370-5
11. The TaSDIR1‐4A‐TaASR4‐3D module regulates ABA‐related drought responses in wheat seedlings Y. Lei et al. https://doi.org/10.1111/nph.71322
12. Response of Grain Yield to Extreme Precipitation in Major Grain-Producing Areas of China Against the Background of Climate Change—A Case Study of Henan Province K. Sheng et al. https://doi.org/10.3390/w17152342
13. Improved maize mapping using multi-source data fusion coupled with height-spectral Gaussian mixture modeling G. Xiao et al. https://doi.org/10.1080/15481603.2026.2671603