67 citations as recorded by crossref.

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5. Improved Perceptron of Subsurface Chlorophyll Maxima by a Deep Neural Network: A Case Study with BGC-Argo Float Data in the Northwestern Pacific Ocean J. Chen et al. https://doi.org/10.3390/rs14030632
6. The role of phytoplankton in the deep chlorophyll maximum CO2 dynamics along a zonal section (34.5°S) in South Atlantic Ocean J. Bueno et al. https://doi.org/10.1016/j.marenvres.2025.107314
7. Extended Formulations and Analytic Solutions for Watercolumn Production Integrals Ž. Kovač et al. https://doi.org/10.3389/fmars.2017.00163
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9. Data-Informed Inversion Model (DIIM): a framework to retrieve marine optical constituents using a three-stream irradiance model C. Soto López et al. https://doi.org/10.5194/gmd-18-7575-2025
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12. Dynamics of the deep chlorophyll maximum in the Black Sea as depicted by BGC-Argo floats F. Ricour et al. https://doi.org/10.5194/bg-18-755-2021
13. Rossby waves impact on persistent oxic and suboxic chlorophyll maxima in the Eastern Tropical North Pacific A. Márquez-Artavia et al. https://doi.org/10.4081/aiol.2024.11301
14. Marine heatwaves are shaping the vertical structure of phytoplankton in the global ocean X. Ma & G. Chen https://doi.org/10.1038/s43247-025-02718-y
15. Chlorophyll‐Based Model to Estimate Underwater Photosynthetically Available Radiation for Modeling, In‐Situ, and Remote‐Sensing Applications X. Xing & E. Boss https://doi.org/10.1029/2020GL092189
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17. Oceanic response to the consecutive Hurricanes Dorian and Humberto (2019) in the Sargasso Sea D. Avila-Alonso et al. https://doi.org/10.5194/nhess-21-837-2021
18. Monitoring low-oxygen-adapted subsurface phytoplankton distribution in a changing ocean I. Cox et al. https://doi.org/10.3389/fmars.2024.1425250
19. Temporal variability of chlorophyll distribution in the Gulf of Mexico: bio-optical data from profiling floats O. Pasqueron de Fommervault et al. https://doi.org/10.5194/bg-14-5647-2017
20. The 2014–2015 warming anomaly in the Southern California Current System observed by underwater gliders K. Zaba & D. Rudnick https://doi.org/10.1002/2015GL067550
21. Potential of Mie–Fluorescence–Raman Lidar to Profile Chlorophyll a Concentration in Inland Waters H. Zhao et al. https://doi.org/10.1021/acs.est.3c04212
22. Phytoplankton community structure in contrasting ecosystems of the Southern Ocean: South Georgia, South Orkneys and western Antarctic Peninsula S. Nunes et al. https://doi.org/10.1016/j.dsr.2019.06.005
23. A Conceptual Approach to Partitioning a Vertical Profile of Phytoplankton Biomass Into Contributions From Two Communities R. Brewin et al. https://doi.org/10.1029/2021JC018195
24. Patterns and drivers of deep chlorophyll maxima structure in 100 lakes: The relative importance of light and thermal stratification T. Leach et al. https://doi.org/10.1002/lno.10656
25. Chlorophyll a estimation in lakes using multi-parameter sonde data X. Liu & A. Georgakakos https://doi.org/10.1016/j.watres.2021.117661
26. Estimation of the vertical phytoplankton distribution in the Philippine Sea: Influence of turbulence following passage of typhoons K. Cordero-Bailey et al. https://doi.org/10.1016/j.rsma.2022.102659
27. Characteristics of subsurface chlorophyll maxima during the boreal summer in the South China Sea with respect to environmental properties W. Xu et al. https://doi.org/10.1016/j.scitotenv.2022.153243
28. Formation, maintenance and diurnal variability of subsurface chlorophyll maximum during the summer monsoon in the southern Bay of Bengal R. Prasanth et al. https://doi.org/10.1016/j.pocean.2023.102974
29. Towards a merged satellite and in situ fluorescence ocean chlorophyll product H. Lavigne et al. https://doi.org/10.5194/bg-9-2111-2012
30. Chromophoric dissolved organic matter dynamics revealed through the optimization of an optical–biogeochemical model in the northwestern Mediterranean Sea E. Álvarez et al. https://doi.org/10.5194/bg-20-4591-2023
31. Prediction of chlorophyll-a as an indicator of harmful algal blooms using deep learning with Bayesian approximation for uncertainty assessment I. Busari et al. https://doi.org/10.1016/j.jhydrol.2024.130627
32. An alternative method for correcting fluorescence quenching L. Biermann et al. https://doi.org/10.5194/os-11-83-2015
33. Subsurface Chlorophyll Maximum Layers: Enduring Enigma or Mystery Solved? J. Cullen https://doi.org/10.1146/annurev-marine-010213-135111
34. Steady-state solutions for subsurface chlorophyll maximum in stratified water columns with a bell-shaped vertical profile of chlorophyll X. Gong et al. https://doi.org/10.5194/bg-12-905-2015
35. Hydrography and deep chlorophyll maximum patterns of the Athos Basin and the Thracian Sea continental shelf (North Aegean Sea) combining glider and satellite observations N. Kokkos et al. https://doi.org/10.1016/j.csr.2023.105029
36. Remote sensing of column-integrated chlorophyll a in a large deep-water reservoir Y. Li et al. https://doi.org/10.1016/j.jhydrol.2022.127918
37. Vertical Distribution of Different Types of Particulate Matter and Its Impact on Remote Sensing Estimation of Net Primary Productivity in the Oligotrophic Tropical Western Pacific Ocean Y. Li et al. https://doi.org/10.3390/w18101116
38. New developments on reconstruction of high resolution chlorophyll-a vertical profiles R. Souto et al. https://doi.org/10.1007/s40314-016-0318-8
39. Distinct habitat and biogeochemical properties of low‐oxygen‐adapted tropical oceanic phytoplankton I. Cox et al. https://doi.org/10.1002/lno.12404
40. Bio-Optical Response of Phytoplankton and Coloured Detrital Matter (CDM) to Coastal Upwelling in the Northwest South China Sea G. Wang et al. https://doi.org/10.3390/rs17010044
41. Estimating Oceanic Primary Production Using Vertical Irradiance and Chlorophyll Profiles from Ocean Gliders in the North Atlantic V. Hemsley et al. https://doi.org/10.1021/acs.est.5b00608
42. Using machine learning and Biogeochemical-Argo (BGC-Argo) floats to assess biogeochemical models and optimize observing system design A. Mignot et al. https://doi.org/10.5194/bg-20-1405-2023
43. Development of subsurface chlorophyll maximum layer and its contribution to the primary productivity of water column in a large subtropical reservoir H. Miao et al. https://doi.org/10.1016/j.envres.2023.116118
44. Validation of remote sensing chlorophyll-a concentration with considering effect of non-uniform vertical profiles Y. Zhu et al. https://doi.org/10.1080/01431161.2025.2594889
45. Vertical profiling of phytoplankton biomass in a large deep reservoir: patterns and controlling factors Y. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135472
46. Impacts of subsurface chlorophyll-a distribution on remote sensing reflectance spectra X. Li et al. https://doi.org/10.1016/j.ecoinf.2025.103545
47. Phyto-VFP: a new bio-optical model of pelagic primary production based on variable fluorescence measures S. Bonamano et al. https://doi.org/10.1016/j.jmarsys.2019.103304
48. Subsurface phytoplankton community dynamics in the North Eastern Arabian Sea and their response to elevated light intensities under ocean warming scenario S. Garg et al. https://doi.org/10.1007/s10661-025-14589-z
49. Dynamics of subsurface chlorophyll maxima in the northern Indian Ocean S. Garg et al. https://doi.org/10.1016/j.marpolbul.2024.116891
50. Subsurface phytoplankton vertical structure from lidar observation during SCS summer monsoon onset S. Zhang & P. Chen https://doi.org/10.1364/OE.453094
51. Vertical distribution of chlorophyll <I>a</I> concentration and phytoplankton community composition from in situ fluorescence profiles: a first database for the global ocean R. Sauzède et al. https://doi.org/10.5194/essd-7-261-2015
52. Physical drivers of chlorophyll variability in the open South China Sea W. Zhang et al. https://doi.org/10.1002/2016JC011983
53. Occurrence and seasonal dynamics of metalimnetic Deep Chlorophyll Maximum (DCM) in a stratified meromictic tropical lake and its implications for zooplankton community distribution P. Sanful et al. https://doi.org/10.1002/iroh.201701899
54. Fitting vertical chlorophyll profiles in the California Current using two Gaussian curves M. Muñoz-Anderson et al. https://doi.org/10.1002/lom3.10034
55. Subsurface phytoplankton vertical structure observations using offshore fixed platform-based lidar in the Bohai Sea for offshore responses to Typhoon Bavi P. Chen https://doi.org/10.1364/OE.458796
56. Process-Oriented Estimation of Chlorophyll-a Vertical Profile in the Mediterranean Sea Using MODIS and Oceanographic Float Products X. Li et al. https://doi.org/10.3389/fmars.2022.933680
57. Deep Chlorophyll Maxima in the Global Ocean: Occurrences, Drivers and Characteristics M. Cornec et al. https://doi.org/10.1029/2020GB006759
58. Bio-optical characterization of subsurface chlorophyll maxima in the Mediterranean Sea from a Biogeochemical-Argo float database M. Barbieux et al. https://doi.org/10.5194/bg-16-1321-2019
59. Response of oceanic subsurface chlorophyll maxima to environmental drivers in the Northern Indian Ocean S. Garg et al. https://doi.org/10.1016/j.envres.2023.117528
60. On the vertical distribution of the chlorophyll a concentration in the Mediterranean Sea: a basin-scale and seasonal approach H. Lavigne et al. https://doi.org/10.5194/bg-12-5021-2015
61. When Mixed Layers Are Not Mixed. Storm‐Driven Mixing and Bio‐optical Vertical Gradients in Mixed Layers of the Southern Ocean M. Carranza et al. https://doi.org/10.1029/2018JC014416
62. The Physical-Biogeochemical Responses to a Subsurface Anticyclonic Eddy in the Northwest Pacific Y. Ding et al. https://doi.org/10.3389/fmars.2021.766544
63. Seasonality and physical drivers of deep chlorophyll layers in Lake Superior, with implications for a rapidly warming lake K. Reinl et al. https://doi.org/10.1016/j.jglr.2020.09.008
64. Hydrographic control on subsurface chlorophyll maximum in the northern South China Sea in autumn X. Gong et al. https://doi.org/10.1007/s00343-024-4058-0
65. Deep chlorophyll maxima across a trophic state gradient: A case study in the Laurentian Great Lakes A. Scofield et al. https://doi.org/10.1002/lno.11464
66. Phytoplankton biomass and photophysiology at the sub-Antarctic Prince Edward Islands ecosystem in the Southern Ocean T. Lamont et al. https://doi.org/10.1016/j.jmarsys.2021.103669
67. Bulk tissue and amino acid stable isotope analyses reveal global ontogenetic patterns in ocean sunfish trophic ecology and habitat use N. Phillips et al. https://doi.org/10.3354/meps13166