12 citations as recorded by crossref.

1. Remotely assessing and monitoring coastal and inland water quality in China: Progress, challenges and outlook Y. Xiong et al. 10.1080/10643389.2019.1656511
2. Linking phytoplankton absorption to community composition in Chinese marginal seas D. Sun et al. 10.1016/j.pocean.2021.102517
3. Variability of particulate backscattering ratio and its relations to particle intrinsic features in the Bohai Sea, Yellow Sea, and East China Sea D. Sun et al. 10.1364/OE.27.003074
4. A simple and effective method for monitoring floating green macroalgae blooms: a case study in the Yellow Sea H. Zhang et al. 10.1364/OE.27.004528
5. Retrieving Phytoplankton Size Class from the Absorption Coefficient and Chlorophyll A Concentration Based on Support Vector Machine L. Deng et al. 10.3390/rs11091054
6. Estimation of phytoplankton taxonomic groups in the Arctic Ocean using phytoplankton absorption properties: implication for ocean-color remote sensing H. Zhang et al. 10.1364/OE.26.032280
7. Turbidity Estimation from GOCI Satellite Data in the Turbid Estuaries of China’s Coast J. Feng et al. 10.3390/rs12223770
8. A hybrid algorithm for estimating total nitrogen from a large eutrophic plateau lake using Orbita hyperspectral (OHS) satellite imagery J. Li et al. 10.1016/j.jag.2024.103971
9. Spatial and temporal variations of satellite-derived phytoplankton size classes using a three-component model bridged with temperature in Marginal Seas of the Western Pacific Ocean H. Liu et al. 10.1016/j.pocean.2021.102511
10. Dynamics of euphotic zone depth in the Bohai Sea and Yellow Sea S. Wang et al. 10.1016/j.scitotenv.2020.142270
11. Estimation of Phytoplankton Size Classes in the Littoral Sea of Korea Using a New Algorithm Based on Deep Learning J. Kang et al. 10.3390/jmse10101450
12. Two-decadal estimation of sixteen phytoplankton pigments from satellite observations in coastal waters D. Sun et al. 10.1016/j.jag.2022.102715