# Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments

*PRI Rank #15 · Topics and Trends in Most Cited Land Use and Ecosystem Services Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/land-use-and-ecosystem-services/2026/rank-15*

| Field | Value |
| --- | --- |
| Rank | #15 |
| 18m citations | 85 |
| Journal | Urban Climate |
| Year | 2024 |
| DOI | 10.1016/j.uclim.2024.101962 |
| Corresponding authors | Ghazaleh Tanoori |
| Institution | Islamic Azad University, Iran |

**Ranking page:** [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)

**Paper link:** [10.1016/j.uclim.2024.101962](https://doi.org/10.1016/j.uclim.2024.101962)

## Topics

Urban heat island (UHI) · UHI · Land surface temperature · Land surface temperature (LST) · machine learning · urban environments · LST prediction · Remote sensing · Spatial modeling · Remote sensing · Urban climate

## Cite this ranking

```
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 2026-10-29.

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
```