# YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8

*PRI Rank #4 · 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-4*

| Field | Value |
| --- | --- |
| Rank | #4 |
| 18m citations | 25 |
| Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Year | 2024 |
| DOI | 10.1109/jstars.2024.3494838 |
| Corresponding authors | Junchao Yuan |
| Institution | Zhejiang A&F 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:** [10.1109/jstars.2024.3494838](https://doi.org/10.1109/jstars.2024.3494838)

## Topics

pine wilt disease · YOLOv8-RD · ResFuzzy · ResFuzzy · fuzzy deep neural networks · residual learning · remote sensing image detection · detail processing module · dynamic upsampling operator · noise robustness · image noise filtering · low-frequency detail features · PWD pathogen detection · forest health monitoring · object detection under interference · cloud cover interference · illumination variation · feature map upsampling · background feature refinement

## 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
```