# Pathways to identify and reduce uncertainties in agricultural climate impact assessments

*PRI Rank #17 · Topics and Trends in Most Cited Rice Cultivation and Yield Improvement Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/rice-cultivation-and-yield-improvement/2026/rank-17*

| Field | Value |
| --- | --- |
| Rank | #17 |
| 18m citations | 28 |
| Journal | Nature Food |
| Year | 2024 |
| DOI | 10.1038/s43016-024-01014-w |
| Corresponding authors | Bin Wang |
| Institution | Charles Sturt University, Australia |

**Ranking page:** [Topics and Trends in Most Cited Rice Cultivation and Yield Improvement Papers, Class of 2026](https://pri.pepkio.com/top-papers/rice-cultivation-and-yield-improvement/2026)

**Paper link:** [10.1038/s43016-024-01014-w](https://doi.org/10.1038/s43016-024-01014-w)

## Topics

Climate change impact assessment · uncertainty quantification · uncertainty reduction pathways · Climate change impact assessment · Agricultural systems modeling · model uncertainty · parameter uncertainty · scenario uncertainty · Crop modeling · Climate change adaptation · sensitivity analysis · ensemble modeling · Model intercomparison · agricultural vulnerability assessment · impact assessment methodology

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Rice Cultivation and Yield Improvement Papers, Class of 2026. https://pri.pepkio.com/top-papers/rice-cultivation-and-yield-improvement/2026. Accessed 2026-07-24.

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
```