Revealing the impact of urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning
Most Cited Paper
in Land Use and Ecosystem Services
18 Months Post-Publication
Class of 2026
“Revealing the impact of urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning”
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pri.pepkio.com
Topics
urban morphology · Land surface temperature · plain cities · plateau cities · Explainable AI · Urban heat island (UHI) · spatial metrics · elevation gradient · topographic effects · Explainable AI · urban form indicators · Thermal environment · Remote sensing · SHAP values · Urban planning
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Land Use and Ecosystem Services Papers, Class of 2026. https://pri.pepkio.com/top-papers/land-use-and-ecosystem-services/2026. Accessed 2026-10-24. 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