14 citations as recorded by crossref.

1. Vector time series modelling of turbidity in Dublin Bay A. Shoari Nejad et al. 10.1080/02664763.2024.2315470
2. Carbon Biogeochemistry of the Estuaries Adjoining the Indian Sundarbans Mangrove Ecosystem: A Review I. Das et al. 10.3390/life13040863
3. Using monitoring and mechanistic modeling to improve understanding of eutrophication in a shallow New England estuary F. Cashel et al. 10.1016/j.jenvman.2024.120478
4. Large-Scale Spatial and Temporal Patterns and Importance of Sediment–Water Oxygen and Nutrient Fluxes in the Chesapeake Bay Region W. Boynton et al. 10.1007/s12237-022-01127-0
5. Connections to Tidal Marsh and Restored Salt Ponds Drive Seasonal and Spatial Variability in Ecosystem Metabolic Rates in Lower South San Francisco Bay D. Roberts et al. 10.1007/s12237-022-01088-4
6. Modeling Impacts of Nutrient Loading, Warming, and Boundary Exchanges on Hypoxia and Metabolism in a Shallow Estuarine Ecosystem J. Testa et al. 10.1111/1752-1688.12912
7. Biogeochemical states, rates, and exchanges exhibit linear responses to large nutrient load reductions in a shallow, eutrophic urban estuary J. Testa et al. 10.1002/lno.12037
8. Stressing over the Complexities of Multiple Stressors in Marine and Estuarine Systems P. Glibert et al. 10.34133/2022/9787258
9. Dark waters: Evaluating seagrass community response to optical water quality and freshwater discharges in a highly managed subtropical estuary P. Julian II et al. 10.1016/j.rsma.2023.103302
10. Assessment of multiple ecosystem metabolism methods in an estuary L. Loken et al. 10.1002/lom3.10458
11. Marsh boundary degradation into open-water in living shorelines under high-energy conditions L. Sun et al. 10.1016/j.ecoleng.2024.107232
12. Water quality multivariate forecasting using deep learning in a West Australian estuary A. Saeed et al. 10.1016/j.envsoft.2023.105884
13. Effects of Biophysical Processes on Diel-Cycling Hypoxia in a Subtropical Estuary M. Duvall et al. 10.1007/s12237-021-01040-y
14. Predicting water turbidity in a macro-tidal coastal bay using machine learning approaches Y. Wang et al. 10.1016/j.ecss.2021.107276