# Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches

*PRI Rank #18 · Topics and Trends in Most Cited Aquatic Ecosystems and Phytoplankton Dynamics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/aquatic-ecosystems-and-phytoplankton-dynamics/2026/rank-18*

| Field | Value |
| --- | --- |
| Rank | #18 |
| 18m citations | 31 |
| Journal | Water Research |
| Year | 2024 |
| DOI | 10.1016/j.watres.2024.122889 |
| Corresponding authors | Hongtao Duan, Cheng Chen, Qiuwen Chen |
| Institution | Nanjing Hydraulic Research Institute, China |

**Ranking page:** [Topics and Trends in Most Cited Aquatic Ecosystems and Phytoplankton Dynamics Papers, Class of 2026](https://pri.pepkio.com/top-papers/aquatic-ecosystems-and-phytoplankton-dynamics/2026)

**Paper link:** [10.1016/j.watres.2024.122889](https://doi.org/10.1016/j.watres.2024.122889)

## Topics

algal blooms · global lakes · Climate Scenarios · land use change · machine learning · Water Quality · Eutrophication · predictive modeling · environmental forecasting · anthropogenic impacts · Freshwater Ecosystems · spatial modeling · temporal projections · Bloom Prediction

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Aquatic Ecosystems and Phytoplankton Dynamics Papers, Class of 2026. https://pri.pepkio.com/top-papers/aquatic-ecosystems-and-phytoplankton-dynamics/2026. Accessed 2026-07-23.

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
```