# SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data

*PRI Rank #6 · Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026/rank-6*

| Field | Value |
| --- | --- |
| Rank | #6 |
| 18m citations | 61 |
| Journal | Remote Sensing of Environment |
| Year | 2024 |
| DOI | 10.1016/j.rse.2024.114367 |
| Corresponding authors | Maciej Wielgosz |
| Institution | Norwegian Institute of Bioeconomy Research (NIBIO), Norway |

**Ranking page:** [Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026](https://pri.pepkio.com/top-papers/forest-ecology-and-management/2026)

**Paper link:** [10.1016/j.rse.2024.114367](https://doi.org/10.1016/j.rse.2024.114367)

## Topics

individual tree detection · sensor-agnostic deep learning model · ULS (unmanned laser scanning) · terrestrial laser scanning · mobile laser scanning · PointGroup architecture · 3D convolutional neural network · deep learning segmentation · deep learning segmentation · point cloud random subsampling · data augmentation strategy · point cloud · forest structural complexity · individual tree detection · codominant and dominated trees · Model transferability · point cloud · forest structural complexity · omission rates

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Forest ecology and management Papers, Class of 2026. https://pri.pepkio.com/top-papers/forest-ecology-and-management/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
```