Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning
Most Cited Paper
in Marine and coastal ecosystems
18 Months Post-Publication
Class of 2026
“Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
eutrophication indicators · coastal waters · explainable machine learning · remote sensing retrieval · robust retrieval methods
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Marine and coastal ecosystems Papers, Class of 2026. https://pri.pepkio.com/top-papers/marine-and-coastal-ecosystems/2026. Accessed 2026-07-29. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459