# Air Quality Monitoring and Forecasting

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/air-quality-monitoring-and-forecasting-2/

## Facts

| Field | Value |
| --- | --- |
| Citations | 518,168 |
| Description | This cluster of papers focuses on the advances in low-cost air quality monitoring systems, utilizing technologies such as neural networks, forecasting models, and IoT-based sensor networks to monitor particulate matter and pollutants in urban environments. The research explores the application of machine learning and environmental monitoring techniques to improve the accuracy and accessibility of air quality data. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | https://openalex.org/T12120 |
| Works | 85,298 |

## Topic researchers

Showing 12 of 20.

- [Yoshua Bengio](https://scholariq.org/researchers/yoshua-bengio/)
- [Theo Vos](https://scholariq.org/researchers/theo-vos/)
- [Valery L. Feigin](https://scholariq.org/researchers/valery-l-feigin/)
- [Trevor Hastie](https://scholariq.org/researchers/trevor-hastie/)
- [Salim Yusuf](https://scholariq.org/researchers/salim-yusuf/)
- [Lídia Morawska](https://scholariq.org/researchers/lidia-morawska/)
- [Philippe Ciais](https://scholariq.org/researchers/philippe-ciais/)
- [Carol Brayne](https://scholariq.org/researchers/carol-brayne/)
- [Frede Blaabjerg](https://scholariq.org/researchers/frede-blaabjerg/)
- [Michelle L. Bell](https://scholariq.org/researchers/michelle-l-bell/)
- [Demis Hassabis](https://scholariq.org/researchers/demis-hassabis/)
- [Michael Bräuer](https://scholariq.org/researchers/michael-brauer/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.
