# Utilizing Deep Learning and the Internet of Things to Monitor the Health of Aquatic Ecosystems to Conserve Biodiversity

*PRI Rank #6 · Topics and Trends in Most Cited Fish Ecology and Management Studies Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/fish-ecology-and-management-studies/2026/rank-6*

| Field | Value |
| --- | --- |
| Rank | #6 |
| 18m citations | 44 |
| Journal | Natural and Engineering Sciences |
| Year | 2024 |
| DOI | 10.28978/nesciences.1491795 |
| Corresponding authors | Bobir Odilov |
| Institution | Tashkent State University of Oriental Studies, UZ |

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

**Paper link:** [10.28978/nesciences.1491795](https://doi.org/10.28978/nesciences.1491795)

## Topics

water quality monitoring · freshwater biodiversity · Internet of Things (IoT) · deep learning · Generalized Regression-based Neural Networks (G-RNN) · multi-variational polynomial regression · Real-time monitoring · N-O3-N (nitrate nitrogen) · BO-D5 (biological oxygen demand) · P-O4 (phosphate) · N-H3-N (ammonia nitrogen) · aquatic ecosystem health · Water quality parameters · urbanized river · pollutant detection · chemical and biological measurements · IoT-based water quality monitoring · anomaly detection in water parameters · field water testing validation

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Fish Ecology and Management Studies Papers, Class of 2026. https://pri.pepkio.com/top-papers/fish-ecology-and-management-studies/2026. Accessed 2026-07-15.

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
```