13 citations as recorded by crossref.

1. Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses V. Sivaprasad et al. 10.1109/JSTARS.2025.3557956
2. A global daily seamless 9 km vegetation optical depth (VOD) product from 2010 to 2021 D. Hu et al. 10.5194/essd-17-2849-2025
3. From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution Y. Xiao et al. 10.1016/j.inffus.2023.03.021
4. Seamless global daily soil moisture mapping using deep learning based spatiotemporal fusion M. Jiang et al. 10.1016/j.jag.2025.104517
5. Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management L. Chen et al. 10.1016/j.agwat.2025.109353
6. Green water availability and water-limited crop yields under a changing climate in Ethiopia M. Wakjira et al. 10.5194/hess-29-863-2025
7. A TCN-Transformer Parallel model for reconstruction of a global, daily, spatially seamless FY-3B soil moisture dataset Q. Wang et al. 10.1016/j.rse.2025.114841
8. Global-scale gap filling of satellite soil moisture products: Methods and validation C. Zhang et al. 10.1016/j.jhydrol.2025.132762
9. Rolling forecast of snowmelt floods in data-scarce mountainous regions using weather forecast products to drive distributed energy balance hydrological model G. Zhou et al. 10.1016/j.jhydrol.2024.131384
10. Assessment of Maximum Snow-Water Equivalent in the Uba River Basin (Altai) Using the Temperature-Based Melt-Index Method N. Bykov et al. 10.3390/cli13060117
11. Soil moisture estimation based on FY-3E backscattering data for enhanced daily coverage to SMAP observations in the dawn-dusk orbit P. Song et al. 10.1016/j.rse.2024.114209
12. An Integrated Learning Framework for Seamless High-Resolution Soil Moisture Estimation Y. Jing et al. 10.1109/TGRS.2024.3461717
13. Inflated Negative Impacts of Temperature On Global Agricultural Yields Due To Ozone Omission X. Liu et al. 10.1029/2024EF005072