# Data-Driven Machine Learning in Environmental Pollution: Gains and Problems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/data-driven-machine-learning-in-environmental-pollution-gains-and-problems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Xian Liu,Dawei Lü,Aiqian Zhang,Qian Liu,Guibin Jiang |
| Citations | 528 |
| DOI | 10.1021/acs.est.1c06157 |
| Fields | Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4210538803 |
| PMID | 35084840 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Qian Liu](https://scholariq.org/researchers/qian-liu/)

## Paper journal

- [Environmental Science & Technology](https://scholariq.org/journals/environmental-science-and-technology/)

## Paper primary topic

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

## Paper topics

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Water Quality Monitoring and Analysis](https://scholariq.org/topics/water-quality-monitoring-and-analysis/)

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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.