43 citations as recorded by crossref.

1. Eight Hundred Years of Drought and Flood Disasters and Precipitation Sequence Reconstruction in Wuzhou City, Southwest China Y. Zhao et al. https://doi.org/10.3390/w11020219
2. Statistical spatiotemporal analysis of hydro-morphological processes in China during 1950–2015 N. Wang et al. https://doi.org/10.1007/s00477-021-02007-y
3. Changes of Population, Built-up Land, and Cropland Exposure to Natural Hazards in China from 1995 to 2015 Y. Chen et al. https://doi.org/10.1007/s13753-019-00242-0
4. Sustaining the Pearl River: A Critical Review of Changes in Fluvial Geomorphological Processes and the Driving Forces in the Pearl River Basin H. Ou et al. https://doi.org/10.3390/w16071001
5. Impacts of climate change and land cover factor on runoff in the Coastal Chinese Mainland region S. Song et al. https://doi.org/10.1016/j.geosus.2024.04.003
6. Intensification of hourly and Small watershed flooding with rising temperatures H. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.132444
7. Divergent effectiveness of irrigation in enhancing food security in droughts under future climates with various emission scenarios Q. Zhang et al. https://doi.org/10.1038/s41612-023-00362-x
8. Delineating flood-prone areas using advanced integration of reduced-error pruning tree with different ensemble classifier algorithms E. Nohani et al. https://doi.org/10.1007/s11600-023-01238-7
9. Simulation Performance Evaluation and Uncertainty Analysis on a Coupled Inundation Model Combining SWMM and WCA2D Z. Zeng et al. https://doi.org/10.1007/s13753-022-00416-3
10. Copula-based comprehensive drought identification and evaluation over the Xijiang River Basin in South China Q. Tian et al. https://doi.org/10.1016/j.ecolind.2023.110503
11. Spatiotemporal Variability of Runoff Coefficients and Rainfall–Runoff Responses in a Mountainous Basin Using Integrated Hydrological Analogy and SCS–CN Models Z. Jing et al. https://doi.org/10.1007/s11269-026-04555-w
12. Spatiotemporal changes in heavy precipitation events in the Beijing-Tianjin-Hebei region revealed by hourly meteorological station observations Y. Deng et al. https://doi.org/10.1007/s00704-020-03198-0
13. Flood Susceptibility Modeling Using an Advanced Deep Learning-Based Iterative Classifier Optimizer M. Mia et al. https://doi.org/10.3390/land12040810
14. Variation of material fluxes in a large heterogenic subtropical river: A combination of climate change and human damming influences L. Zhang et al. https://doi.org/10.1016/j.ejrh.2023.101560
15. Spatiotemporal trends of dryness/wetness duration and severity: The respective contribution of precipitation and temperature J. Wu & X. Chen https://doi.org/10.1016/j.atmosres.2018.10.005
16. Changes in river systems and relevant hydrological responses in the Yangtze River Delta, China Z. Lin et al. https://doi.org/10.1007/s44218-023-00032-8
17. Genetic structure and phylogeographic relationships of the Bellamya complex: A nascent aquacultural snail in the Pearl River basin, China Q. Gu et al. https://doi.org/10.1111/are.14494
18. The impacts of the wetness–dryness encountering of the upstream inflow and downstream salt intrusion on water supply in coastal urban agglomeration Y. He et al. https://doi.org/10.2166/wp.2023.096
19. On the Exploitation of Remote Sensing Technologies for the Monitoring of Coastal and River Delta Regions Q. Zhao et al. https://doi.org/10.3390/rs14102384
20. Estimating floodwater depth using SAR-derived flood inundation maps and geomorphic model in kosi river basin (India) B. Parida et al. https://doi.org/10.1080/10106049.2021.1899298
21. A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods K. Khosravi et al. https://doi.org/10.1016/j.jhydrol.2019.03.073
22. A method for detecting the non-stationarity during high flows under global change Z. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.158341
23. A conceptual framework for impact assessment of anthropogenic activities on drought propagation M. Laraib et al. https://doi.org/10.1016/j.jher.2025.100680
24. Python Indian Weather Radar Toolkit (pyiwr): An open-source Python library for processing, analyzing and visualizing weather radar data N. Singh et al. https://doi.org/10.1016/j.jocs.2024.102363
25. Amplifying Flood Risk Across the Lower Yellow River Basin, China, Under Shared Socioeconomic Pathways J. Song et al. https://doi.org/10.3389/feart.2022.900866
26. Prediction of flood risk levels of urban flooded points though using machine learning with unbalanced data H. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.130742
27. On the Applicability of the Expected Waiting Time Method in Nonstationary Flood Design L. Yan et al. https://doi.org/10.1007/s11269-020-02581-w
28. Stalagmite flooding frequency record since the middle Little Ice Age from Central China L. Yuhui & L. Zhiling https://doi.org/10.1007/s10584-021-02977-6
29. Runoff variability in a typical inland river basin at the fringe of the Asian westerly region in the last two centuries B. Sun et al. https://doi.org/10.1080/02626667.2021.1982136
30. Flood Monitoring in Rural Areas of the Pearl River Basin (China) Using Sentinel-1 SAR J. Qiu et al. https://doi.org/10.3390/rs13071384
31. Analysis of runoff dynamics and flood formation: An investigation through an explainable deep learning framework T. Wang et al. https://doi.org/10.1016/j.gloplacha.2026.105435
32. Rising rainfall intensity induces spatially divergent hydrological changes within a large river basin Y. Wu et al. https://doi.org/10.1038/s41467-023-44562-8
33. Impacts of Summer Monsoons on flood characteristics in the Lancang-Mekong River Basin J. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.127256
34. Applying Machine Learning Methods to Improve Rainfall–Runoff Modeling in Subtropical River Basins H. Yu & Q. Yang https://doi.org/10.3390/w16152199
35. High-resolution mapping of China’s flooded croplands J. Qiu et al. https://doi.org/10.1016/j.scib.2025.01.053
36. Seasonal diversity of global flood changes and their drivers X. Gu et al. https://doi.org/10.1016/j.jhydrol.2025.133976
37. Impacts of Climate Change on Urban Extreme Rainfall and Drainage Infrastructure Performance: A Case Study in Wuhan City, China L. Xiong et al. https://doi.org/10.1002/ird.2316
38. Extreme flood intensification in the Pearl River Basin in the future under 1.5° C, 2.0° C, and higher global warming levels W. Qi et al. https://doi.org/10.3389/frwa.2025.1624694
39. Nonstationary Flood Hazard Analysis in Response to Climate Change and Population Growth L. Yan et al. https://doi.org/10.3390/w11091811
40. On the flood peak distributions over China L. Yang et al. https://doi.org/10.5194/hess-23-5133-2019
41. A new method to analyze the driving mechanism of flood disaster resilience and its management decision-making D. Liu et al. https://doi.org/10.1016/j.jhydrol.2022.128134
42. Trend changes of flow regime metrics in the water conservation zone of the Yellow River caused by observation uncertainty Y. Zhang et al. https://doi.org/10.1007/s11442-025-2354-z
43. Sustainable flood risk assessment using deep learning-based algorithms with a blockchain technology M. Mia et al. https://doi.org/10.1080/10106049.2022.2112982