10 citations as recorded by crossref.

1. Development of The Navigator: A Lagrangian sensing system to characterize surface freshwater ecosystems A. Khandelwal et al. 10.1016/j.watres.2023.120577
2. Determination of Optimal Predictors and Sampling Frequency to Develop Nutrient Soft Sensors Using Random Forest M. Arhab & J. Huang 10.3390/s23136057
3. Revealing nitrate uptake and dispersion dynamics using high-frequency sensors and two-dimensional modeling in a large river system A. Zarnaghsh et al. 10.1016/j.advwatres.2024.104693
4. Summer drought enhances diurnal amplitude of CO2 in two German rivers of different size P. Leng et al. 10.1016/j.watres.2024.122870
5. Stream restoration can reduce nitrate levels in agricultural landscapes X. Zhou et al. 10.1016/j.scitotenv.2023.164911
6. System for automated Quality Control (SaQC) to enable traceable and reproducible data streams in environmental science L. Schmidt et al. 10.1016/j.envsoft.2023.105809
7. Winter post-droughts amplify extreme nitrate concentrations in German rivers F. Saavedra et al. 10.1088/1748-9326/ad19ed
8. Field-scale simulation of runoff and water quality in a paddy field: A study of novel RWQSPad model D. Lin et al. 10.1016/j.ecolmodel.2025.111042
9. Predicting high-frequency nutrient dynamics in the Danube River with surrogate models using sensors and Random Forest Y. Tran et al. 10.3389/frwa.2022.894548
10. Patterns of nitrate retention in agriculturally influenced streams and rivers A. Hill 10.1007/s10533-023-01027-w