# Deep learning solutions for smart city challenges in urban development

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-solutions-for-smart-city-challenges-in-urban-development/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pengjun Wu,Zhanzhi Zhang,Xueyi Peng,Ran Wang |
| Citations | 76 |
| DOI | 10.1038/s41598-024-55928-3 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-024-55928-3.pdf |
| OpenAlex ID | https://openalex.org/W4392347930 |
| PMID | 38431741 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ran Wang](https://scholariq.org/researchers/ran-wang/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)

## Paper topics

- [Traffic Prediction and Management Techniques](https://scholariq.org/topics/traffic-prediction-and-management-techniques/)
- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Impact of Light on Environment and Health](https://scholariq.org/topics/impact-of-light-on-environment-and-health/)

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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.