17 citations as recorded by crossref.

1. Consideration of radiation absorption by stems in forests for microclimate modeling M. Béland et al. https://doi.org/10.5194/gmd-19-9019-2026
2. Effects of Incorporating Measured Leaf Optical Properties in Land Surface Models W. Dong et al. https://doi.org/10.3389/feart.2021.663917
3. Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model R. Braghiere et al. https://doi.org/10.1016/j.rse.2021.112497
4. Integrating eco-evolutionary optimality principle and land processes for evapotranspiration estimation M. Zou et al. https://doi.org/10.1016/j.jhydrol.2022.128855
5. Using different radiative transfer schemes for solar-induced chlorophyll fluorescence (SIF) in evergreen coniferous forests with a terrestrial biosphere model T. Thum et al. https://doi.org/10.5194/bg-23-3541-2026
6. The Importance of Hyperspectral Soil Albedo Information for Improving Earth System Model Projections R. Braghiere et al. https://doi.org/10.1029/2023AV000910
7. On the leaf inclination angle distribution as a plant trait for the most abundant broadleaf tree species in Europe J. Pisek et al. https://doi.org/10.1016/j.agrformet.2022.109030
8. Forest Canopy Water Content Monitoring Using Radiative Transfer Models and Machine Learning L. Liu et al. https://doi.org/10.3390/f14071418
9. Advances in Modelling Radiative Transfer, Heat Storage and Turbulent Transport to Evaluate CO2, Heat and Water Fluxes Over Broad‐Leaved Forests: The CanVeg2 Model M. Béland et al. https://doi.org/10.1111/gcb.70867
10. Evaporative Resistance is of Equal Importance as Surface Albedo in High‐Latitude Surface Temperatures Due to Cloud Feedbacks J. Kim et al. https://doi.org/10.1029/2019GL085663
11. Exploring the potential of transfer learning for leaf inclination angle distribution assessment from leveled digital photography A. Zaman et al. https://doi.org/10.1016/j.ecoinf.2026.104024
12. Quantifying leaf optical properties with spectral invariants theory S. Wu et al. https://doi.org/10.1016/j.rse.2020.112131
13. Effect of the Partitioning of Diffuse and Direct APAR on GPP Estimation S. Chen et al. https://doi.org/10.3390/rs14010057
14. Mapping global leaf inclination angle (LIA) based on field measurement data S. Li & H. Fang https://doi.org/10.5194/essd-17-1347-2025
15. GSV-L: A general spectral vector model for hyperspectral leaf spectra simulation T. Ma & H. Fang https://doi.org/10.1016/j.jag.2023.103216
16. Beyond surface fluxes: Observational and computational needs of multilayer canopy models – A walnut orchard test case G. Bonan et al. https://doi.org/10.1016/j.agrformet.2025.110960
17. Representation of Leaf‐to‐Canopy Radiative Transfer Processes Improves Simulation of Far‐Red Solar‐Induced Chlorophyll Fluorescence in the Community Land Model Version 5 R. Li et al. https://doi.org/10.1029/2021MS002747