# CNN Models Approaches for Robust Classification of Apple Diseases

*PRI Rank #12 · Topics and Trends in Most Cited Plant Pathogens and Fungal Diseases Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026/rank-12*

| Field | Value |
| --- | --- |
| Rank | #12 |
| 18m citations | 34 |
| Journal | Computer and decision making. |
| Year | 2024 |
| DOI | 10.59543/comdem.v1i.10957 |
| Corresponding authors | İsmail Kunduracıoğlu |
| Institution | Igdir University, Turkey |

**Ranking page:** [Topics and Trends in Most Cited Plant Pathogens and Fungal Diseases Papers, Class of 2026](https://pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026)

**Paper link:** [10.59543/comdem.v1i.10957](https://doi.org/10.59543/comdem.v1i.10957)

## Topics

CNN-based models · apple leaf disease classification · ResNet-50 · InceptionV4 · Xception · DenseNet121 · EfficientNetV2_m · VGG13 · Early disease detection · Plant disease diagnosis · deep learning for agriculture · Image-based disease detection · Model benchmarking · F1-score · precision and recall metrics

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Plant Pathogens and Fungal Diseases Papers, Class of 2026. https://pri.pepkio.com/top-papers/plant-pathogens-and-fungal-diseases/2026. Accessed 2026-07-14.

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
```