8 citations as recorded by crossref.

1. Reconstruction and characterization of droughts and floods in the Hanjiang River Basin, China, 1426–2017 X. Zhang et al. https://doi.org/10.1007/s10584-023-03538-9
2. Projection of future precipitation change using CMIP6 multimodel ensemble based on fusion of multiple machine learning algorithms: A case in Hanjiang River Basin, China D. Wang et al. https://doi.org/10.1002/met.2144
3. Analysis of extreme droughts and floods during 1001–2000 CE in Guangxi, South China, based on historical documents R. Shi et al. https://doi.org/10.1016/j.quaint.2025.109948
4. Cognizable rare historical droughts: Knowledge framework and future insights S. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134579
5. A novel spatial downscaling algorithm based on deep learning considering geographical spatial heterogeneity and nonlinear changes: a case study of the Yangtze River Basin C. Luo et al. https://doi.org/10.1016/j.engappai.2025.113328
6. Correspondence of Drought Occurrences at Multi‐Temporal Scales Between North China and Upper Hanjiang River X. Zhang et al. https://doi.org/10.1029/2023JD039247
7. Concurrent occurrence of droughts and floods between the upper Hanjiang river and Northern North China at multi-temporal scales: an association with Arctic Oscillation X. Zhang et al. https://doi.org/10.1007/s00382-025-08006-x
8. The Changes in Annual Precipitation in the Forest–Steppe Ecotone of North China Since 1540 X. Wang et al. https://doi.org/10.3390/f16050847