10 citations as recorded by crossref.

1. Daphnia swimming behaviour as a biomarker in toxicity assessment: A review A. Bownik https://doi.org/10.1016/j.scitotenv.2017.05.199
2. Machine learning-based water quality prediction using octennial in-situ Daphnia magna biological early warning system data H. Jeong et al. https://doi.org/10.1016/j.jhazmat.2023.133196
3. New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses J. Kim et al. https://doi.org/10.1038/s41598-023-27554-y
4. Rediscovering cities through strategically decentralised urban green infrastructure: a case study of stormwater resilience A. Tiwary & O. Heidrich https://doi.org/10.1007/s44327-025-00121-y
5. Impact of climate change on hydrological extremes in the Yangtze River Basin, China H. Gu et al. https://doi.org/10.1007/s00477-014-0957-5
6. A deep learning-assisted Biological Early Warning System using composite behavioral indicators in Daphnia magna with field-collected river water H. Bae et al. https://doi.org/10.1016/j.watres.2026.126973
7. A dynamic information extraction method for areal mean rainfall error and its application in basins of different scales for flood forecasting W. Si et al. https://doi.org/10.1007/s00477-020-01957-z
8. Study on non-invasive and time-course metabolomics-based biological early warning systems (BEWS) using Daphnia magna and field river water H. Bae et al. https://doi.org/10.1016/j.watres.2025.124518
9. Mode of action characterization for adverse effect of propranolol in Daphnia magna based on behavior and physiology monitoring and metabolite profiling T. Jeong et al. https://doi.org/10.1016/j.envpol.2017.10.043
10. A one-way coupled atmospheric-hydrological modeling system with combination of high-resolution and ensemble precipitation forecasting Z. Wu et al. https://doi.org/10.1007/s11707-015-0535-2