12 citations as recorded by crossref.

1. Significant Improvement in Short-Term Green-Tide Transport Predictions Using the XGBoost Model M. Ji & C. Zhao
2. A fully automatic and label-free Sentinel-1 SAR framework for green-tide mapping P. Tang et al.
3. Simulation Study of the Effect of Multi-Angle ATI-SAR on Sea Surface Current Retrieval Accuracy J. Chen et al.
4. AI-revealed long-term spatio-temporal characteristics of yellow sea green tides X. Pan et al.
5. A knowledge-guided deep learning framework for Ulva prolifera green tide detection and quantification on MODIS imagery Z. Yin et al.
6. Approaches, challenges and prospects for modeling macroalgal dynamics in the green tide: The case of Ulva prolifera H. Chang et al.
7. Deep Learning-Based Identification of Marine Mucilage in the Sea of Marmara from MODIS Images Q. Xu et al.
8. Multi–scale drift characteristics of Ulva prolifera in the Yellow Sea derived from deep learning–based MODIS and Sentinel-1 observations X. Geng et al.
9. Interpreting spatiotemporal dynamics of Ulva prolifera blooms in the southern yellow sea using an attention-enhanced transformer framework Y. Wang et al.
10. PAD: Phase–Amplitude Decoupling Fusion for Multimodal Land Cover Classification H. Zheng et al.
11. Exploring the potential of cold patches as an indicator for algal bloom occurrence and migration H. Han et al.
12. A decision-making framework by large language model for green tide salvage ship scheduling C. Feng et al.