# Gel strength prediction in ultrasonicated chicken mince: Fusing near-infrared and Raman spectroscopy coupled with deep learning LSTM algorithm

*PRI Rank #1 · Topics and Trends in Most Cited Meat and Animal Product Quality Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/meat-and-animal-product-quality/2026/rank-1*

| Field | Value |
| --- | --- |
| Rank | #1 |
| 18m citations | 65 |
| Journal | Food Control |
| Year | 2024 |
| DOI | 10.1016/j.foodcont.2024.110916 |
| Corresponding authors | Huanhuan Li |
| Institution | Jiangsu University, China |

**Ranking page:** [Topics and Trends in Most Cited Meat and Animal Product Quality Papers, Class of 2026](https://pri.pepkio.com/top-papers/meat-and-animal-product-quality/2026)

**Paper link:** [10.1016/j.foodcont.2024.110916](https://doi.org/10.1016/j.foodcont.2024.110916)

## Topics

ultrasonication · minced chicken · Gelation · near-infrared spectroscopy · Raman spectroscopy · Spectral data integration · long short-term memory · long short-term memory · Convolutional Neural Network · Convolutional Neural Network · texture profile analysis · centrifugal loss rate · Non-destructive testing · deep learning prediction models · NIR-Raman fusion · Gelation · meat gel quality

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Meat and Animal Product Quality Papers, Class of 2026. https://pri.pepkio.com/top-papers/meat-and-animal-product-quality/2026. Accessed 2026-07-21.

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
```