Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches
Most Cited Paper
in Aquatic Ecosystems and Phytoplankton Dynamics
18 Months Post-Publication
Class of 2026
“Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
algal blooms · global lakes · Climate Scenarios · land use change · machine learning · Water Quality · Eutrophication · predictive modeling · environmental forecasting · anthropogenic impacts · Freshwater Ecosystems · spatial modeling · temporal projections · Bloom Prediction
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Aquatic Ecosystems and Phytoplankton Dynamics Papers, Class of 2026. https://pri.pepkio.com/top-papers/aquatic-ecosystems-and-phytoplankton-dynamics/2026. Accessed 2026-07-23. 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