# Efficient deep learning-based approach for malaria detection using red blood cell smears

*PRI Rank #18 · Topics and Trends in Most Cited Mosquito-borne diseases and control Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/mosquito-borne-diseases-and-control/2026/rank-18*

| Field | Value |
| --- | --- |
| Rank | #18 |
| 18m citations | 53 |
| Journal | Scientific Reports |
| Year | 2024 |
| DOI | 10.1038/s41598-024-63831-0 |
| Corresponding authors | Imran Ashraf |
| Institution | Prince Sultan University, Saudi Arabia |

**Ranking page:** [Topics and Trends in Most Cited Mosquito-borne diseases and control Papers, Class of 2026](https://pri.pepkio.com/top-papers/mosquito-borne-diseases-and-control/2026)

**Paper link:** [10.1038/s41598-024-63831-0](https://doi.org/10.1038/s41598-024-63831-0)

## Topics

malaria detection · Blood smear microscopy · EfficientNet · deep learning classification · Blood smear microscopy · malaria parasites · Infected red blood cells · pre-trained deep learning models · k-fold cross-validation · automatic feature extraction · medical image classification · convolutional neural networks

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Mosquito-borne diseases and control Papers, Class of 2026. https://pri.pepkio.com/top-papers/mosquito-borne-diseases-and-control/2026. Accessed 2026-07-17.

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
```