# How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology

*PRI Rank #7 · Topics and Trends in Most Cited Air Quality and Health Impacts Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/air-quality-and-health-impacts/2026/rank-7*

| Field | Value |
| --- | --- |
| Rank | #7 |
| 18m citations | 83 |
| Journal | Energy Economics |
| Year | 2024 |
| DOI | 10.1016/j.eneco.2024.107355 |
| Corresponding authors | Yan Chen |
| Institution | Yunnan University of Finance and Economics, China |

**Ranking page:** [Topics and Trends in Most Cited Air Quality and Health Impacts Papers, Class of 2026](https://pri.pepkio.com/top-papers/air-quality-and-health-impacts/2026)

**Paper link:** [10.1016/j.eneco.2024.107355](https://doi.org/10.1016/j.eneco.2024.107355)

## Topics

artificial intelligence · pollutant emissions · energy efficiency · green technology

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Air Quality and Health Impacts Papers, Class of 2026. https://pri.pepkio.com/top-papers/air-quality-and-health-impacts/2026. Accessed 2026-10-28.

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
```