# Prediction of specialty coffee flavors based on near‐infrared spectra using machine‑ and deep‐learning methods

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-of-specialty-coffee-flavors-based-on-near-infrared-spectra-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yu‐Tang Chang,Meng‐Chien Hsueh,Shu‐Pin Hung,Juin‐Ming Lu,Jia‐Hung Peng,Shih‐Fang Chen |
| Citations | 72 |
| DOI | 10.1002/jsfa.11116 |
| Fields | Chemistry,Engineering,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3121173206 |
| PMID | 33491774 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Shih‐Fang Chen](https://scholariq.org/researchers/shih-fang-chen/)

## Paper primary topic

- [Coffee research and impacts](https://scholariq.org/topics/coffee-research-and-impacts/)

## Paper topics

- [Coffee research and impacts](https://scholariq.org/topics/coffee-research-and-impacts/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

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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.