11 citations as recorded by crossref.

1. CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland B. Kraft et al. 10.5194/hess-29-1061-2025
2. Regional Reconstruction of Po River Basin (Italy) Streamflow G. Formetta et al. 10.3390/hydrology9100163
3. Groundwater level reconstruction using long-term climate reanalysis data and deep neural networks S. Chidepudi et al. 10.1016/j.ejrh.2023.101632
4. Streamflow Reconstructions Using Tree-Ring-Based Paleo Proxies for the Sava River Basin (Slovenia) G. Tootle et al. 10.3390/hydrology10070138
5. Comparing quantile regression forest and mixture density long short-term memory models for probabilistic post-processing of satellite precipitation-driven streamflow simulations Y. Zhang et al. 10.5194/hess-27-4529-2023
6. Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years U. Singh et al. 10.1016/j.inffus.2023.101807
7. Extraordinary 21st Century Drought in the Po River Basin (Italy) A. Ramírez Molina et al. 10.3390/hydrology11120219
8. Multiple temporal scale variation characteristics and driving factors of arid inland runoff: A case study of Urumqi River, China K. Liu et al. 10.1016/j.ejrh.2025.102298
9. Long-term analysis of changes in seasonal and maximum discharges of Slovak rivers in the period 1931–2020 V. Mitková et al. 10.2478/johh-2024-0030
10. Stochastic Analysis of the Marginal and Dependence Structure of Streamflows: From Fine-Scale Records to Multi-Centennial Paleoclimatic Reconstructions A. Pizarro et al. 10.3390/hydrology9070126
11. Streamflow Reconstructions Using Tree-Ring Based Paleo Proxies for the Upper Adige River Basin (Italy) G. Formetta et al. 10.3390/hydrology9010008