Assessing global carbon sequestration and bioenergy potential from microalgae cultivation on marginal lands leveraging machine learning
Most Cited Paper
in Algal biology and biofuel production
18 Months Post-Publication
Class of 2026
“Assessing global carbon sequestration and bioenergy potential from microalgae cultivation on marginal lands leveraging machine learning”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/algal-biology-and-biofuel-production/2026/
Topics
Microalgae cultivation · marginal lands · machine learning · Biomass productivity prediction · bioenergy potential · Carbon sequestration · Photobioreactor · Open pond cultivation · biodiesel production · CO2 sequestration capacity · global cultivation experiments dataset · environmental variable integration · equatorial and low-latitude regions · Biomass productivity prediction · sustainable energy solutions · Greenhouse gas mitigation · food-energy competition mitigation · freshwater conservation · Scalability challenges
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Algal biology and biofuel production Papers, Class of 2026. https://pri.pepkio.com/top-papers/algal-biology-and-biofuel-production/2026. Accessed 2026-07-21. 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