# Reliable water quality prediction and parametric analysis using explainable AI models

*PRI Rank #9 · 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-9*

| Field | Value |
| --- | --- |
| Rank | #9 |
| 18m citations | 68 |
| Journal | Scientific Reports |
| Year | 2024 |
| DOI | 10.1038/s41598-024-56775-y |
| Corresponding authors | Shitharth Selvarajan |
| Institution | Vellore Institute of Technology, India |

**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:** [10.1038/s41598-024-56775-y](https://doi.org/10.1038/s41598-024-56775-y)

## Topics

Total dissolved solids (TDS) · Water potability · Explainable AI (XAI) · SHAP · Random Forest · Logistic Regression · Support Vector Machine (SVM) · Gaussian Naive Bayes · Decision tree · force plot · summary plot · dependency plot · decision plot · feature importance analysis · Water quality parameters · contaminant detection · Explainable AI (XAI) · Water potability

## 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
```