# Evaluation of water quality indexes with novel machine learning and SHapley Additive ExPlanation (SHAP) approaches

*PRI Rank #6 · 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-6*

| Field | Value |
| --- | --- |
| Rank | #6 |
| 18m citations | 90 |
| Journal | Journal of Water Process Engineering |
| Year | 2024 |
| DOI | 10.1016/j.jwpe.2024.104789 |
| Corresponding authors | Majid Khan |
| Institution | Prince Sattam bin Abdulaziz University, Saudi Arabia |

**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.jwpe.2024.104789](https://doi.org/10.1016/j.jwpe.2024.104789)

## Topics

Water Quality Index · machine learning · SHAP · SHAP · Explainable AI (XAI) · Water quality assessment · feature importance analysis · Explainable AI (XAI)

## 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
```