# A heterogeneous information network learning model with neighborhood-level structural representation for predicting lncRNA-miRNA interactions

*PRI Rank #11 · Topics and Trends in Most Cited MicroRNA in disease regulation Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/microrna-in-disease-regulation/2026/rank-11*

| Field | Value |
| --- | --- |
| Rank | #11 |
| 18m citations | 45 |
| Journal | Computational and Structural Biotechnology Journal |
| Year | 2024 |
| DOI | 10.1016/j.csbj.2024.06.032 |
| Corresponding authors | Bo-Wei Zhao, Xiaorui Su, Yue Yang, Dongxu Li, Guodong Li, Pengwei Hu, Xin Luo, Lun Hu |
| Institution | Southwest University, China |

**Ranking page:** [Topics and Trends in Most Cited MicroRNA in disease regulation Papers, Class of 2026](https://pri.pepkio.com/top-papers/microrna-in-disease-regulation/2026)

**Paper link:** [10.1016/j.csbj.2024.06.032](https://doi.org/10.1016/j.csbj.2024.06.032)

## Topics

lncRNA-miRNA interactions · heterogeneous information network · neighborhood-level structural representation · HINLMI · Representation learning · biological embeddings · network topology embeddings · XGBoost classifier · biomolecular interaction integration · five biomolecules · nine interactions · Long non-coding RNA · MicroRNA · Computational prediction · network-based prediction

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited MicroRNA in disease regulation Papers, Class of 2026. https://pri.pepkio.com/top-papers/microrna-in-disease-regulation/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
```