# Residual and bidirectional LSTM for epileptic seizure detection

*PRI Rank #10 · 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-10*

| Field | Value |
| --- | --- |
| Rank | #10 |
| 18m citations | 32 |
| Journal | Frontiers in Computational Neuroscience |
| Year | 2024 |
| DOI | 10.3389/fncom.2024.1415967 |
| Corresponding authors | Wei Zhao, Wenfeng Wang |
| Institution | Jimei University, 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:** [10.3389/fncom.2024.1415967](https://doi.org/10.3389/fncom.2024.1415967)

## Topics

ResBiLSTM · EEG classification · Seizure detection · one-dimensional residual neural network (1D ResNet) · Bidirectional LSTM (BiLSTM) · Hybrid deep learning model · Temporal modeling · Spatial feature extraction · University of Bonn EEG dataset · Temple University Hospital (TUH) EEG corpus · TUH seizure corpus (TUSZ) · Seizure detection · Seizure classification · Seizure classification · 10-fold cross-validation · fully connected layers · F1 score · residual learning for time-series signals

## 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
```