43 citations as recorded by crossref.

1. Simplifying Regional Tuning of MODIS Algorithms for Monitoring Chlorophyll-a in Coastal Waters W. Jiang et al. https://doi.org/10.3389/fmars.2017.00151
2. Evaluation of the operational Chlorophyll-a product from global ocean colour sensors in the coastal waters, south-eastern Arabian Sea D. Harshada et al. https://doi.org/10.1016/j.ejrs.2021.09.005
3. Development of chlorophyll-a concentration estimation algorithm for turbid productive inland waters in India S. Kolluru et al. https://doi.org/10.1080/10106049.2023.2171143
4. Photosynthetic parameters in the northern South China Sea in relation to phytoplankton community structure Y. Xie et al. https://doi.org/10.1002/2014JC010415
5. Evaluation of Satellite Retrievals of Chlorophyll-a in the Arabian Gulf N. Al-Naimi et al. https://doi.org/10.3390/rs9030301
6. Remote sensing monitoring for impact of island on chlorophyll a in the water near the Diaoyu Island (Diaoyu Dao) and its affiliated islands, China L. Cai et al. https://doi.org/10.1007/s13131-024-2371-2
7. A novel method for distinguishing different algal blooms in the East China Sea via geostationary ocean color satellite observations M. Zhao et al. https://doi.org/10.3389/fmars.2025.1549711
8. Application of a generalized additive model (GAM) for estimating chlorophyll-aconcentration from MODIS data in the Bohai and Yellow Seas, China Y. Wang et al. https://doi.org/10.1080/01431161.2016.1268733
9. Evaluation of merged multi-sensor ocean-color chlorophyll products in the Northern Persian Gulf M. Moradi https://doi.org/10.1016/j.csr.2021.104415
10. Abundance and community composition of bacterioplankton in the Northern South China Sea during winter: geographic position and water layer influences R. Shi et al. https://doi.org/10.2478/s11756-018-0023-8
11. Phytoplankton size classes changed oppositely over shelf and basin areas of the South China Sea during 2003–2018 T. Li et al. https://doi.org/10.1016/j.pocean.2020.102496
12. Revisiting the Intraseasonal Variability of Chlorophyll-a in the Adjacent Luzon Strait With a New Gap-Filled Remote Sensing Data Set T. Wang et al. https://doi.org/10.1109/TGRS.2021.3067646
13. On the Spatial and Temporal Variations of Primary Production in the South China Sea L. Song et al. https://doi.org/10.1109/TGRS.2023.3241209
14. Validation of standard ocean-color chlorophyll-a products in turbid coastal waters: A case study on statistical evaluation and quality control tests in the Persian Gulf M. Moradi & M. Zoljoodi https://doi.org/10.1016/j.jmarsys.2023.103875
15. Biogeochemistry and ecosystems of continental margins in the western North Pacific Ocean and their interactions and responses to external forcing – an overview and synthesis K. Liu et al. https://doi.org/10.5194/bg-11-7061-2014
16. Evaluating MODIS sea surface temperature data and chlorophyll-a data from both MODIS and SeaWiFS in the Peruvian Coastal Upwelling System D. Espinoza-Morriberón et al. https://doi.org/10.1117/1.JRS.19.014505
17. Physical drivers of chlorophyll variability in the open South China Sea W. Zhang et al. https://doi.org/10.1002/2016JC011983
18. Distribution of picoplankton in the northeastern South China Sea with special reference to the effects of the Kuroshio intrusion and the associated mesoscale eddies J. Li et al. https://doi.org/10.1016/j.scitotenv.2017.02.208
19. Evaluation of MODIS—Aqua Chlorophyll-a Algorithms in the Basilicata Ionian Coastal Waters T. Lacava et al. https://doi.org/10.3390/rs10070987
20. Evaluation of Satellite-Derived Size-Fractionated Phytoplankton Primary Production in the South China Sea L. Deng et al. https://doi.org/10.1109/TGRS.2023.3281589
21. A Retrospective Analysis of Remote-Sensing Reflectance Products in Coastal and Inland Waters N. Pahlevan et al. https://doi.org/10.1109/LGRS.2024.3351328
22. Chlorophyll-a Concentration Retrieval in the Optically Complex Waters of the St. Lawrence Estuary and Gulf Using Principal Component Analysis J. Laliberté et al. https://doi.org/10.3390/rs10020265
23. Performance of the Ocean Color Algorithms: QAA, GSM, and GIOP in Inland and Coastal Waters A. Najah & M. Al-Shehhi https://doi.org/10.1007/s41976-022-00068-3
24. Building a bridge between MODIS and VIIRS in measuring chlorophyll-a through linear regression: a case study in the Arabian Gulf J. Albanai https://doi.org/10.1007/s12517-023-11618-4
25. Seasonal and spatial variability in bio-optical properties of the Persian Gulf: Implications for ocean color remote sensing M. Moradi & B. Arabi https://doi.org/10.1016/j.csr.2023.105094
26. Validation of MODIS-Aqua bio-optical algorithms for phytoplankton absorption coefficient measurement in optically complex waters of El Rincón (Argentina) A. Delgado et al. https://doi.org/10.1016/j.csr.2018.12.012
27. Long-term simulation of 137Cs behavior in the ocean around Fukushima considering multiphase interaction processes T. Ikenoue et al. https://doi.org/10.1016/j.marpolbul.2026.120110
28. Remote Sensing of Chlorophyll‐A in Case II Waters: A Novel Approach With Improved Accuracy Over Widely Implemented Turbid Water Indices H. Menon & A. Adhikari https://doi.org/10.1029/2018JC014052
29. Long-term retrieval (1998-2023) of colored dissolved organic matter absorption coefficient and dissolved organic carbon in the Mackenzie River-Beaufort Sea region using the Copernicus GlobColour product M. Sánchez-Urrea et al. https://doi.org/10.3389/frsen.2026.1768049
30. Mapping and Forecasting Onsets of Harmful Algal Blooms Using MODIS Data over Coastal Waters Surrounding Charlotte County, Florida S. Karki et al. https://doi.org/10.3390/rs10101656
31. A Harmful Algal Bloom Detection Model Combining Moderate Resolution Imaging Spectroradiometer Multi-Factor and Meteorological Heterogeneous Data X. Bu et al. https://doi.org/10.3390/su152115386
32. Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV S. Shang et al. https://doi.org/10.1016/j.rse.2017.05.036
33. Modeling long‐term change of planktonic ecosystems in the northern South China Sea and the upstream Kuroshio Current Q. Li et al. https://doi.org/10.1002/2014JC010609
34. Seasonal nitrate algorithms for nitrate retrieval using OCEANSAT-2 and MODIS-AQUA satellite data P. Durairaj et al. https://doi.org/10.1007/s10661-015-4340-x
35. Decadal Variability of Satellite-Derived Air–Sea CO2 Flux in Southwestern Part of the Bay of Bengal R. Shanthi et al. https://doi.org/10.1007/s12601-022-00063-1
36. Physical drivers of bio-optical properties in the Guangdong-Hong Kong-Macao Greater Bay Area during the winter dry season W. Xu et al. https://doi.org/10.3389/fmars.2024.1523111
37. Quantile Analysis of Long-Term Trends of Near-Surface Chlorophyll-a in the Pearl River Plume N. Gao et al. https://doi.org/10.3390/w12061662
38. Evaluation of atmospheric correction and high-resolution processing on SeaDAS-derived chlorophyll-a: an example from mid-latitude mesotrophic waters J. Bramich et al. https://doi.org/10.1080/01431161.2017.1420930
39. Evaluation of standard and regional satellite chlorophyll-a algorithms for moderate-resolution imaging spectroradiometer (MODIS) in the Bohai and Yellow Seas, China: a comparison of chlorophyll-a magnitude and seasonality Y. Wang et al. https://doi.org/10.1080/01431161.2019.1577579
40. Assessment of Eutrophication and DOC Sources Tracing in the Sea Area around Dajin Island Using CASI and MODIS Images Coupled with CDOM Optical Properties S. Ma et al. https://doi.org/10.3390/s21144765
41. A Remote Sensing and Machine Learning-Based Approach to Forecast the Onset of Harmful Algal Bloom M. Izadi et al. https://doi.org/10.3390/rs13193863
42. Remote sensing of spatio-temporal relationships between the partitioned absorption coefficients of phytoplankton cells and mineral particles and euphotic zone depths in a partially mixed shelf sea C. Mitchell & A. Cunningham https://doi.org/10.1016/j.rse.2015.01.015
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