# A deep learning interpretable model for river dissolved oxygen multi-step and interval prediction based on multi-source data fusion

*PRI Rank #15 · Topics and Trends in Most Cited Hydrology and Watershed Management Studies Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/hydrology-and-watershed-management-studies/2026/rank-15*

| Field | Value |
| --- | --- |
| Rank | #15 |
| 18m citations | 80 |
| Journal | Journal of Hydrology |
| Year | 2024 |
| DOI | 10.1016/j.jhydrol.2024.130637 |
| Corresponding authors | Tunhua Wu |
| Institution | Shanghai Ocean University, China |

**Ranking page:** [Topics and Trends in Most Cited Hydrology and Watershed Management Studies Papers, Class of 2026](https://pri.pepkio.com/top-papers/hydrology-and-watershed-management-studies/2026)

**Paper link:** [10.1016/j.jhydrol.2024.130637](https://doi.org/10.1016/j.jhydrol.2024.130637)

## Topics

dissolved oxygen prediction · Data fusion · Variational mode decomposition · Improved Sparrow Search Algorithm · Attention mechanism · Gated Recurrent Unit · Multistep forecasting · interval prediction · Nash-Sutcliffe efficiency · Diebold Mariano test · mode decomposition · sub-sequence prediction · Explainable artificial intelligence · river water quality monitoring · time series decomposition · hyperparameter optimization

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Hydrology and Watershed Management Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/hydrology-and-watershed-management-studies/2026. Accessed 2026-07-29.

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
```