11 citations as recorded by crossref.

1. Physical mechanism-based simulation methods for soil and ground heat flux from observations at multi-sites Z. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.132168
2. Enhanced understanding of warming and humidifying on ground heat flux in the Tibetan Plateau Hinterland J. He et al. https://doi.org/10.1016/j.atmosres.2024.107799
3. High-resolution daily air temperature estimation over China: An explainable stratified stacking ensemble approach M. Cheng et al. https://doi.org/10.1016/j.srs.2026.100420
4. Modeling evapotranspiration from rice paddies with variable water depths J. Wang et al. https://doi.org/10.1016/j.agwat.2026.110241
5. Impact of land use and land cover changes on sensible heat variability in a fragment of the Atlantic Forest biome G. Gomes et al. https://doi.org/10.1080/01431161.2025.2580584
6. Assessing evapotranspiration and single crop coefficients of common crops by eddy covariance measurement at multi-sites Z. Liu et al. https://doi.org/10.1016/j.eja.2025.127762
7. An effective approach to estimate ground soil heat flux using half-order derivative method in permafrost regions of the Qinghai-Tibet Plateau C. Shang et al. https://doi.org/10.1016/j.ejrh.2025.102994
8. Partitioning and controlling factors of evapotranspiration: 2. Dynamics and controls of ratio of transpiration to evapotranspiration at multiple timescales in agroforestry system B. Li et al. https://doi.org/10.1016/j.agee.2024.109192
9. Comprehensive Evaluation of High-Resolution Satellite Precipitation Products over the Qinghai–Tibetan Plateau Using the New Ground Observation Network Z. Liu https://doi.org/10.3390/rs15133381
10. The role of ground heat flux in estimating evapotranspiration by the Penman-Monteith method on mountain meadow M. Dohnal et al. https://doi.org/10.17221/24/2025-SWR
11. Ensemble machine learning for interpretable soil heat flux estimation J. Cross & D. Drewry https://doi.org/10.1016/j.ecoinf.2024.102697