# TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds

*PRI Rank #13 · 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-13*

| Field | Value |
| --- | --- |
| Rank | #13 |
| 18m citations | 43 |
| Journal | Ecological Informatics |
| Year | 2024 |
| DOI | 10.1016/j.ecoinf.2024.102888 |
| Corresponding authors | Jonathan Henrich |
| Institution | University of Göttingen, Germany |

**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.ecoinf.2024.102888](https://doi.org/10.1016/j.ecoinf.2024.102888)

## Topics

TreeLearn · individual tree detection · point cloud · terrestrial laser scanning · mobile laser scanning · deep learning segmentation · individual tree detection · Lidar360 software · benchmark forest dataset · manual tree annotation · Wytham Woods · deep learning segmentation · ForAINet · TLS2Trees · fine-tuning with manual annotations · data-driven segmentation · individual tree detection · individual tree detection

## 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
```