# Modeling the distribution of pine wilt disease in China using the ensemble models <scp>MaxEnt</scp> and <scp>CLIMEX</scp>

*PRI Rank #15 · Topics and Trends in Most Cited Forest Insect Ecology and Management Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/forest-insect-ecology-and-management/2026/rank-15*

| Field | Value |
| --- | --- |
| Rank | #15 |
| 18m citations | 15 |
| Journal | Ecology and Evolution |
| Year | 2024 |
| DOI | 10.1002/ece3.70277 |
| Corresponding authors | Zhaogui Yan |
| Institution | Huazhong Agricultural University, China |

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

**Paper link:** [10.1002/ece3.70277](https://doi.org/10.1002/ece3.70277)

## Topics

pine wilt disease · Pine wood nematode · Bursaphelenchus xylophilus · Monochamus · MaxEnt · CLIMEX · ensemble modeling · species distribution modeling · Future climate scenarios · habitat suitability · Pinus massoniana · Pinus taiwanensis · Pinus shurbergia · range shift · disease prevention strategy · host-pathogen overlap · beetle vector transmission · China distribution · temperature and humidity effects

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Forest Insect Ecology and Management Papers, Class of 2026. https://pri.pepkio.com/top-papers/forest-insect-ecology-and-management/2026. Accessed 2026-07-31.

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
```