10 citations as recorded by crossref.

1. Enhancing streamflow estimation by integrating a data-driven evapotranspiration submodel into process-based hydrological models X. Lian et al.
2. HESS Opinions: Towards a common vision for the future of hydrological observatories P. Nasta et al.
3. Revealing seasonal plasticity of whole-plant hydraulic properties using sap-flow and stem water-potential monitoring Z. Zhang et al.
4. Hybrid residual deep learning models with physical knowledge for improving plant transpiration estimation B. Liu et al.
5. Estimating the transpiration of kiwifruit using an optimized canopy resistance model based on the synthesis of sunlit and shaded leaves Z. Li et al.
6. Multi-factor Fire Susceptibility Index (FSI) in Hungary: a data-driven approach using remotely sensed data for peri-urban and forested landscapes A. Agustiyara et al.
7. Reconstruction of the dynamics of sap-flow timeseries of a beech forest using a machine learning approach J. Kabala et al.
8. Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions B. Liu et al.
9. Improving latent heat flux prediction via enhanced cross-variable interaction and temporal dependence learning Q. Li et al.
10. Environmental Factors Driving the Transpiration of a Betula platyphylla Sukaczev Forest in a Semi-arid Region in North China during Different Hydrological Years Y. Wu et al.