# A scheme combining feature fusion and hybrid deep learning models for epileptic seizure detection and prediction

*PRI Rank #8 · Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026/rank-8*

| Field | Value |
| --- | --- |
| Rank | #8 |
| 18m citations | 34 |
| Journal | Scientific Reports |
| Year | 2024 |
| DOI | 10.1038/s41598-024-67855-4 |
| Corresponding authors | Wenna Chen |
| Institution | Henan University of Science and Technology, China |

**Ranking page:** [Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026](https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/2026)

**Paper link:** [10.1038/s41598-024-67855-4](https://doi.org/10.1038/s41598-024-67855-4)

## Topics

Seizure detection · Seizure prediction · Feature extraction · CNN-GRU-AM model · Convolutional neural network · Gated recurrent unit · Attention mechanism · Discrete Wavelet Transform · EEG signal analysis · Time-frequency feature extraction · Nonlinear features · EEG signal analysis · CHB-MIT dataset · 10-fold cross-validation · Hybrid deep learning model · Sensitivity and specificity evaluation · Area under the receiver operating characteristic curve (AUC) · Feature extraction · Seizure prediction · Patient monitoring system

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Epilepsy research and treatment Papers, Class of 2026. https://pri.pepkio.com/top-papers/epilepsy-research-and-treatment/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
```