15 citations as recorded by crossref.

1. Synergizing Convergent Cross-Mapping and machine learning for reliable daily forecasting of riverine chlorophyll-a concentration J. Tian et al. https://doi.org/10.1016/j.jhydrol.2024.132072
2. Exploitative competition of invaders differentially influences the diversity of neutral, lumpy and intransitive phytoplankton assemblages in spatially heterogeneous environments J. Bhattacharyya et al. https://doi.org/10.1016/j.ecolmodel.2017.12.020
3. Multi-factor identification and modelling analyses for managing large river algal blooms R. Xia et al. https://doi.org/10.1016/j.envpol.2019.113056
4. Episodic upwelling and dust deposition as bloom triggers in low-nutrient, low-chlorophyll regions P. Calil et al. https://doi.org/10.1029/2010JC006704
5. Effects of large-scale advection and small-scale turbulent diffusion on vertical phytoplankton dynamics V. Tergolina et al. https://doi.org/10.1103/PhysRevE.104.065106
6. Resonant plankton patchiness induced by large-scale turbulent flow W. McKiver & Z. Neufeld https://doi.org/10.1103/PhysRevE.83.016303
7. Structure-dependent phytoplankton photosynthesis and production rates: implications for the formation, maintenance, and decline of plankton patches S. Menden-Deuer https://doi.org/10.3354/meps09968
8. A Semi-Lagrangian Scheme on Embedded Manifolds Using Generalized Local Polynomial Reproductions T. Hangelbroek et al. https://doi.org/10.1137/25M1788476
9. The Relevance of Biological and Hydrodynamic Timescale in the Growth of Plankton Y. Yaya https://doi.org/10.4236/ojmsi.2023.114008
10. Stirring effects in models of oceanic plankton populations Z. Neufeld https://doi.org/10.1063/1.4751329
11. Effects of hydrological change on the risk of riverine algal blooms: case study in the mid-downstream of the Han River in China L. Shen et al. https://doi.org/10.1007/s11356-020-11756-2
12. Dispersion/dilution enhances phytoplankton blooms in low-nutrient waters Y. Lehahn et al. https://doi.org/10.1038/ncomms14868
13. Future mesoscale horizontal stirring in polar oceans intensified by sea ice decline G. Yi et al. https://doi.org/10.1038/s41558-025-02471-2
14. Parameterizing Eddy Transport of Biogeochemical Tracers C. Prend et al. https://doi.org/10.1029/2021GL094405
15. Water column processes differentially influence richness and diversity of neutral, lumpy and intransitive phytoplankton assemblages F. Withrow et al. https://doi.org/10.1016/j.ecolmodel.2018.01.002