Reliable water quality prediction and parametric analysis using explainable AI models
Most Cited Paper
in Water Quality and Pollution Assessment
18 Months Post-Publication
Class of 2026
“Reliable water quality prediction and parametric analysis using explainable AI models”
A research intelligence initiative by Pepkio
pri.pepkio.com
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
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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 2026-10-24. Methodology 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