# Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems

*PRI Rank #12 · Topics and Trends in Most Cited Water Quality and Pollution Assessment Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/water-quality-and-pollution-assessment/2026/rank-12*

| Field | Value |
| --- | --- |
| Rank | #12 |
| 18m citations | 64 |
| Journal | Environmental Pollution |
| Year | 2024 |
| DOI | 10.1016/j.envpol.2024.124242 |
| Corresponding authors | Hyung Il Kim, Dongkyun Kim |
| Institution | DL E&C, South Korea |

**Ranking page:** [Topics and Trends in Most Cited Water Quality and Pollution Assessment Papers, Class of 2026](https://pri.pepkio.com/top-papers/water-quality-and-pollution-assessment/2026)

**Paper link:** [10.1016/j.envpol.2024.124242](https://doi.org/10.1016/j.envpol.2024.124242)

## Topics

Water Quality Index · machine learning · real-time assessment · Aquatic ecosystems · water quality modeling · predictive modeling · environmental monitoring · Hybrid machine learning · Water quality parameters · Ecological risk assessment

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Water Quality and Pollution Assessment Papers, Class of 2026. https://pri.pepkio.com/top-papers/water-quality-and-pollution-assessment/2026. Accessed 2026-10-30.

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
```