273 citations as recorded by crossref.

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11. Optical characterization of marine phytoplankton assemblages within surface waters of the western Arctic Ocean R. Reynolds & D. Stramski 10.1002/lno.11199
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16. Long-Term Variability of Phytoplankton Size Classes in the Littoral Seas of Korea Using Deep Neural Networks and Satellite Data H. Jang et al. 10.3390/jmse13061064
17. Hyperspectral optical discrimination of phytoplankton community structure in Funka Bay and its implications for ocean color remote sensing of diatoms T. Isada et al. 10.1016/j.rse.2014.12.006
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26. Rapid and highly sensitive analysis of chlorophylls and carotenoids from marine phytoplankton using ultra-high performance liquid chromatography (UHPLC) with the first derivative spectrum chromatogram (FDSC) technique K. Suzuki et al. 10.1016/j.marchem.2015.07.010
27. Comparison of Satellite-Derived Phytoplankton Size Classes Using In-Situ Measurements in the South China Sea S. Hu et al. 10.3390/rs10040526
28. Environmental Forcing of Nitrogen Fixation in the Eastern Tropical and Sub-Tropical North Atlantic Ocean M. Rijkenberg et al. 10.1371/journal.pone.0028989
29. Simulating PACE Global Ocean Radiances W. Gregg & C. Rousseaux 10.3389/fmars.2017.00060
30. Biogeographic classification of the Caspian Sea F. Fendereski et al. 10.5194/bg-11-6451-2014
31. Bioregionalization of the subarctic Pacific based on phytoplankton phenology and composition M. Konik et al. 10.1016/j.pocean.2024.103315
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33. Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets H. Pradhan et al. 10.1029/2019JC015586
34. Phytoplankton distribution in unusually low sea ice cover over the Pacific Arctic P. Coupel et al. 10.5194/bg-9-4835-2012
35. Impact of spatiotemporal variability in phytoplankton size structure on benthic macrofaunal distribution in the Pacific Arctic H. Waga et al. 10.1016/j.dsr2.2018.10.008
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38. Floodwater impact on Galveston Bay phytoplankton taxonomy, pigment composition and photo-physiological state following Hurricane Harvey from field and ocean color (Sentinel-3A OLCI) observations B. Liu et al. 10.5194/bg-16-1975-2019
39. Inversion of spectral absorption coefficients to infer phytoplankton size classes, chlorophyll concentration, and detrital matter X. Zhang et al. 10.1364/AO.54.005805
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42. Synoptic relationships to estimate phytoplankton communities specific to sizes and species from satellite observations in coastal waters D. Sun et al. 10.1364/OE.27.0A1156
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47. Can simple models predict large-scale surface ocean isoprene concentrations? D. Booge et al. 10.5194/acp-16-11807-2016
48. Interannual changes in summer phytoplankton community composition in relation to water mass variability in the East China Sea Q. Xu et al. 10.1007/s10872-018-0484-y
49. Phytoplankton pigment in situ measurements uncertainty evaluation: an HPLC interlaboratory comparison with a European-scale dataset E. Canuti 10.3389/fmars.2023.1197311
50. Influence of the Changjiang River on the light absorption properties of phytoplankton from the East China Sea S. Wang et al. 10.5194/bg-11-1759-2014
51. Bio-Optical Characterization and Ocean Colour Inversion in the Eastern Lagoon of New Caledonia, South Tropical Pacific L. Favareto et al. 10.3390/rs10071043
52. Phytoplankton responses to the 2014–2016 warming anomaly in the northeast subarctic Pacific Ocean M. Peña et al. 10.1002/lno.11056
53. Remote‐Sensing Estimation of Phytoplankton Size Classes FromGOCISatellite Measurements in Bohai Sea and Yellow Sea D. Sun et al. 10.1002/2017JC013099
54. A global satellite observation of phytoplankton taxonomic groups over the past two decades Z. Li et al. 10.1111/gcb.16766
55. Temporal changes in total and size-fractioned chlorophyll-a in surface waters of three provinces in the Atlantic Ocean (September to November) between 2003 and 2010 E. Agirbas et al. 10.1016/j.jmarsys.2015.05.008
56. Machine Learning to Characterize Biogenic Isoprene Emissions and Atmospheric Formaldehyde with Their Environmental Drivers in the Marine Boundary Layer T. Wang et al. 10.3390/atmos15060679
57. Phenology of Size-Partitioned Phytoplankton Carbon-Biomass from Ocean Color Remote Sensing and CMIP5 Models A. Cabré et al. 10.3389/fmars.2016.00039
58. Light absorption spectra of naturally mixed phytoplankton assemblages for retrieval of phytoplankton group composition in coastal oceans X. Sun et al. 10.1002/lno.12047
59. Small Phytoplankton Shapes Colored Dissolved Organic Matter Dynamics in the North Atlantic Subtropical Gyre E. Organelli & H. Claustre 10.1029/2019GL084699
60. Ultraphytoplankton community structure in subsurface waters along a North-South Mediterranean transect I. Boudriga et al. 10.1016/j.marpolbul.2022.113977
61. Satellite monitoring of surface phytoplankton functional types in the Atlantic Ocean over 20 years (2002–2021) H. Xi et al. 10.5194/sp-1-osr7-5-2023
62. Distribution of phytoplankton functional types in high-nitrate, low-chlorophyll waters in a new diagnostic ecological indicator model A. Palacz et al. 10.5194/bg-10-7553-2013
63. Impact of 2015–2016 El Niño on phytoplankton size class distribution during the summer and winter monsoon in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2023.2295839
64. Carbon export fluxes and export efficiency in the central Arctic during the record sea‐ice minimum in 2012: a joint 234Th/238U and 210Po/210Pb study M. Roca‐Martí et al. 10.1002/2016JC011816
65. Obtaining Phytoplankton Diversity from Ocean Color: A Scientific Roadmap for Future Development A. Bracher et al. 10.3389/fmars.2017.00055
66. Japanese studies of ocean data assimilation: milestones over the past 20 years and future perspectives Y. Fujii et al. 10.5928/kaiyou.26.2_15
67. Global marine plankton functional type biomass distributions: coccolithophores C. O'Brien et al. 10.5194/essd-5-259-2013
68. Remote sensing of phytoplankton community composition along the northeast coast of the United States X. Pan et al. 10.1016/j.rse.2011.09.011
69. Observing and modelling phytoplankton community structure in the North Sea D. Ford et al. 10.5194/bg-14-1419-2017
70. Carbon: Chlorophyll Ratios and Net Primary Productivity of Subarctic Pacific Surface Waters Derived From Autonomous Shipboard Sensors W. Burt et al. 10.1002/2017GB005783
71. Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images Z. Yan et al. 10.1038/s41598-025-87338-4
72. Temperature-Correlated Changes in Phytoplankton Community Structure Are Restricted to Polar Waters B. Ward & H. Dam 10.1371/journal.pone.0135581
73. Remote estimation of phytoplankton size fractions using the spectral shape of light absorption S. Wang et al. 10.1364/OE.23.010301
74. Picophytoplankton phenology in the global ocean assessed by quantitative niche models N. Visintini & P. Flombaum 10.1007/s00227-022-04080-5
75. Contributions of phytoplankton and bacteria to the optical backscattering coefficient over the Mid-Atlantic Ridge V. Martinez-Vicente et al. 10.3354/meps09388
76. Assessing phytoplankton community composition in the Atlantic Ocean from in situ and satellite observations V. Brotas et al. 10.3389/fmars.2023.1229692
77. Remote sensing of size structure of phytoplankton communities using optical properties of the Chukchi and Bering Sea shelf region A. Fujiwara et al. 10.5194/bg-8-3567-2011
78. The Indian Ocean Dipole Modulates the Phytoplankton Size Structure in the Southern Tropical Indian Ocean X. Liao et al. 10.3390/rs16111970
79. Machine learning in understanding environmental variability of vibriosis in coastal waters B. Magers et al. 10.1128/aem.00716-25
80. Eukaryotic Phytoplankton Contributing to a Seasonal Bloom and Carbon Export Revealed by Tracking Sequence Variants in the Western North Pacific T. Shiozaki et al. 10.3389/fmicb.2019.02722
81. Biomass Pyramids of Marine Mesozooplankton Communities as Inferred From Their Integrated Trophic Positions N. Ishikawa et al. 10.1007/s10021-022-00753-w
82. Linking phytoplankton absorption to community composition in Chinese marginal seas D. Sun et al. 10.1016/j.pocean.2021.102517
83. Statistical approach for the retrieval of phytoplankton community structures from in situ fluorescence measurements S. Wang et al. 10.1364/OE.24.023635
84. Phytoplankton biomass and community composition in the frontal zones of Southern Ocean R. Mishra et al. 10.1016/j.dsr2.2020.104799
85. Retrieval of Phytoplankton Pigment Composition from Their In Vivo Absorption Spectra Y. Zhang et al. 10.3390/rs13245112
86. The influence of the Indian Ocean Dipole on interannual variations in phytoplankton size structure as revealed by Earth Observation R. Brewin et al. 10.1016/j.dsr2.2012.04.009
87. AIGD-PFT: the first AI-driven global daily gap-free 4 km phytoplankton functional type data product from 1998 to 2023 Y. Zhang et al. 10.5194/essd-16-4793-2024
88. Challenges in integrative approaches to modelling the marine ecosystems of the North Atlantic: Physics to fish and coasts to ocean J. Holt et al. 10.1016/j.pocean.2014.04.024
89. Temporal Variability in Net Primary Production in an Upwelling Area off Central Chile (36°S) G. Testa et al. 10.3389/fmars.2018.00179
90. Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning A. Puissant et al. 10.3390/rs13081445
91. Intraseasonal predictability of natural phytoplankton population dynamics V. Agarwal et al. 10.1002/ece3.8234
92. Comparative Analysis of Total and Size-Fractionated Chlorophyll a in the Yellow Sea and Western Pacific Y. Wei et al. 10.3389/fmicb.2022.903159
93. Functional Stability of a Coastal Mediterranean Plankton Community During an Experimental Marine Heatwave T. Soulié et al. 10.3389/fmars.2022.831496
94. Reproduction of Spatio-Temporal Patterns of Major Mediterranean Phytoplankton Groups from Remote Sensing OC-CCI Data G. Navarro et al. 10.3389/fmars.2017.00246
95. A northeast United States Atlantis marine ecosystem model with ocean reanalysis and ocean color forcing J. Caracappa et al. 10.1016/j.ecolmodel.2022.110038
96. Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self‐Organizing Maps R. El Hourany et al. 10.1029/2019JC015131
97. Uncertainty in Ocean-Color Estimates of Chlorophyll for Phytoplankton Groups R. Brewin et al. 10.3389/fmars.2017.00104
98. Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields H. Pradhan et al. 10.1029/2018JC014329
99. Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon A. Chase et al. 10.1029/2022GL098076
100. Simulating the ocean’s chlorophyll dynamic range from coastal upwelling to oligotrophy N. Van Oostende et al. 10.1016/j.pocean.2018.10.009
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102. Complementary Approaches to Assess Phytoplankton Groups and Size Classes on a Long Transect in the Atlantic Ocean V. Brotas et al. 10.3389/fmars.2021.682621
103. Summer phytoplankton photosynthetic characteristics in the Changjiang River Estuary and the adjacent East China Sea J. Li et al. 10.3389/fmars.2023.1111557
104. A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean C. Mouw et al. 10.3389/fmars.2017.00041
105. A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) V. Schourup-Kristensen et al. 10.5194/gmd-7-2769-2014
106. Retrieving vertical phytoplankton functional types in the South China Sea and adjacent Taiwan Strait based on phytoplankton absorption spectra and machine learning Q. Zhu et al. 10.1002/lom3.10679
107. Enhanced assessment of the eReefs biogeochemical model for the Great Barrier Reef using the Concept/State/Process/System model evaluation framework B. Robson et al. 10.1016/j.envsoft.2020.104707
108. Influence of timing of sea ice retreat on phytoplankton size during marginal ice zone bloom period on the Chukchi and Bering shelves A. Fujiwara et al. 10.5194/bg-13-115-2016
109. Hypoglycemic Effect of Sago Starch and Red Bean Flour-based Analogue Rice on Diabetic Rats with STZ-NA Induction S. Wahjuningsih et al. 10.18502/kls.v9i1.19353
110. Variability of biophysical parameters during La Niña condition in the Eastern Region of the Indian Ocean A. Khan et al. 10.1016/j.seares.2024.102533
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113. Shifting of phytoplankton community in the frontal regions of Indian Ocean sector of the Southern Ocean using in situ and satellite data R. Mishra et al. 10.1117/1.JRS.11.016019
114. Incorporating environmental data in abundance-based algorithms for deriving phytoplankton size classes in the Atlantic Ocean T. Moore & C. Brown 10.1016/j.rse.2020.111689
115. 3LATNet: Attention based deep learning model for global Chlorophyll-a retrieval from GCOM-C satellite M. Salah et al. 10.1016/j.isprsjprs.2024.12.019
116. Size scaling patterns of species richness and carbon biomass for marine phytoplankton functional groups L. Ignatiades 10.1111/maec.12454
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118. Synergistic Exploitation of Hyper- and Multi-Spectral Precursor Sentinel Measurements to Determine Phytoplankton Functional Types (SynSenPFT) S. Losa et al. 10.3389/fmars.2017.00203
119. Characterization of the synoptic‐scale diversity, biogeography, and size distribution of diatoms in the North Pacific K. Sugie & K. Suzuki 10.1002/lno.10473
120. Diatom Phenology in the Southern Ocean: Mean Patterns, Trends and the Role of Climate Oscillations M. Soppa et al. 10.3390/rs8050420
121. First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices M. Dugenne et al. 10.5194/essd-16-2971-2024
122. Linking oceanographic conditions to foraging behaviour of southern elephant seals by characterising mid-trophic levels with an animal-borne echosounder M. Molinet et al. 10.1016/j.jmarsys.2025.104064
123. Spatio-temporal variability of micro-, nano- and pico-phytoplankton in the Mediterranean Sea from satellite ocean colour data of SeaWiFS M. Sammartino et al. 10.5194/os-11-759-2015
124. Impact of cyclone Ockhi on phytoplankton size classes structure in the Arabian Sea R. Shunmugapandi et al. 10.1080/01431161.2023.2229499
125. Retrieving absorption coefficients of multiple phytoplankton pigments from hyperspectral remote sensing reflectance measured over cyanobacteria bloom waters G. Wang et al. 10.1002/lom3.10102
126. Key Environmental Drivers of Summer Phytoplankton Size Class Variability and Decadal Trends in the Northern East China Sea J. Park et al. 10.3390/rs17111954
127. Evaluation of diagnostic pigments to estimate phytoplankton size classes A. Chase et al. 10.1002/lom3.10385
128. Microbial plankton responses to multiple environmental drivers in marine ecosystems with different phosphorus limitation degrees M. Cabrerizo et al. 10.1016/j.scitotenv.2021.151491
129. Underway sampling of marine inherent optical properties on the Tara Oceans expedition as a novel resource for ocean color satellite data product validation P. Werdell et al. 10.1016/j.mio.2013.09.001
130. Contrasting biogeography and diversity patterns between diatoms and haptophytes in the central Pacific Ocean H. Endo et al. 10.1038/s41598-018-29039-9
131. Concentrations of Multiple Phytoplankton Pigments in the Global Oceans Obtained from Satellite Ocean Color Measurements with MERIS G. Wang et al. 10.3390/app8122678
132. Hyperspectral Differentiation of Phytoplankton Taxonomic Groups: A Comparison between Using Remote Sensing Reflectance and Absorption Spectra H. Xi et al. 10.3390/rs71114781
133. 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
134. Modeling surface ocean phytoplankton pigments from hyperspectral remote sensing reflectance on global scales S. Kramer et al. 10.1016/j.rse.2021.112879
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137. Modelling buoyancy-driven vertical movement of Trichodesmium application in the Great Barrier Reef C. Ani et al. 10.1016/j.ecolmodel.2023.110567
138. Evaluating ecosystem model complexity for the northwest North Atlantic through surrogate-based optimization A. Kuhn & K. Fennel 10.1016/j.ocemod.2019.101437
139. Relative contributions of photophysiology and chlorophyll-a abundance to phytoplankton group-specific primary production in the Kuroshio region as inferred by satellite ocean color remote sensing T. Hirata & K. Suzuki 10.1007/s10872-022-00638-5
140. Diatom species fluxes in the seasonally ice-covered Antarctic Zone: New data from offshore Prydz Bay and comparison with other regions from the eastern Antarctic and western Pacific sectors of the Southern Ocean A. Rigual-Hernández et al. 10.1016/j.dsr2.2018.06.005
141. Carbon-based phytoplankton size classes retrieved via ocean color estimates of the particle size distribution T. Kostadinov et al. 10.5194/os-12-561-2016
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146. Accuracy of Empirical Satellite Algorithms for Mapping Phytoplankton Diagnostic Pigments in the Open Ocean: A Supervised Learning Perspective A. Stock & A. Subramaniam 10.3389/fmars.2020.00599
147. Sensitivity of Inherent Optical Properties From Ocean Reflectance Inversion Models to Satellite Instrument Wavelength Suites P. Werdell & L. McKinna 10.3389/feart.2019.00054
148. Remote sensing of spatial and temporal patterns of phytoplankton assemblages in the Bohai Sea, Yellow Sea, and east China sea D. Sun et al. 10.1016/j.watres.2019.03.081
149. Remotely Sensing Phytoplankton Size Structure in the Mediterranean Sea: Insights from In Situ Data and Temperature-Corrected Abundance-Based Models J. Gittings et al. 10.3390/rs17142362
150. Regional Empirical Algorithms for an Improved Identification of Phytoplankton Functional Types and Size Classes in the Mediterranean Sea Using Satellite Data A. Di Cicco et al. 10.3389/fmars.2017.00126
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152. Retrieval of Micro-Phytoplankton Density using Sentinel-3 and MODIS Satellite Sensors on the Eastern Algerian Coast K. Abdallah et al. 10.1007/s41208-023-00624-8
153. Variation in phytoplankton composition between two North Pacific frontal zones along 158°W during winter–spring 2008–2011 E. Howell et al. 10.1016/j.pocean.2015.06.003
154. Comparative analysis of HPLC methods for measuring phytoplankton pigments in the Western Mediterranean Sea: A contribution to the satellite Cal/Val activities E. Canuti et al. 10.1016/j.marchem.2025.104516
155. Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data M. Soppa et al. 10.3390/rs61010089
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159. Multiple environmental controls on phytoplankton growth strategies determine adaptive responses of the N : P ratio S. Daines et al. 10.1111/ele.12239
160. Impact of Indian Ocean Dipole Events on Phytoplankton Size Classes Distribution in the Arabian Sea R. Shunmugapandi et al. 10.3390/oceans3040032
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167. Factors Regulating the Relationship Between Total and Size-Fractionated Chlorophyll-a in Coastal Waters of the Red Sea R. Brewin et al. 10.3389/fmicb.2019.01964
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