# Deep learning networks for the recognition and quantitation of surface-enhanced Raman spectroscopy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-networks-for-the-recognition-and-quantitation-of-surface-enhanced/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shizhuang Weng,Hecai Yuan,Xueyan Zhang,Pan Li,Ling Zheng,Jinling Zhao,Linsheng Huang |
| Citations | 113 |
| DOI | 10.1039/d0an00492h |
| Fields | Biochemistry, Genetics and Molecular Biology,Chemistry,Materials Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3024406975 |
| PMID | 32515435 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Linsheng Huang](https://scholariq.org/researchers/linsheng-huang/)

## Paper primary topic

- [Spectroscopy Techniques in Biomedical and Chemical Research](https://scholariq.org/topics/spectroscopy-techniques-in-biomedical-and-chemical-research/)

## Paper topics

- [Spectroscopy Techniques in Biomedical and Chemical Research](https://scholariq.org/topics/spectroscopy-techniques-in-biomedical-and-chemical-research/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Gold and Silver Nanoparticles Synthesis and Applications](https://scholariq.org/topics/gold-and-silver-nanoparticles-synthesis-and-applications/)

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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.