# Extreme gradient boosting model to estimate PM2.5 concentrations with missing-filled satellite data in China

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/extreme-gradient-boosting-model-to-estimate-pm2-5-concentrations-with-missing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhaoyue Chen,Tianhao Zhang,Rong Zhang,Zhong-Min Zhu,Jun Yang,Ping-Yan Chen,Chun‐Quan Ou,Yuming Guo |
| Citations | 206 |
| DOI | 10.1016/j.atmosenv.2019.01.027 |
| Fields | Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2912750253 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Jun Yang](https://scholariq.org/researchers/jun-yang/)

## Paper journal

- [Atmospheric Environment](https://scholariq.org/journals/atmospheric-environment/)

## Paper primary topic

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)

## Paper topics

- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Atmospheric aerosols and clouds](https://scholariq.org/topics/atmospheric-aerosols-and-clouds/)

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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.