# A novel learning-based feature recognition method using multiple sectional view representation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-learning-based-feature-recognition-method-using-multiple-sectional-view/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Peizhi Shi,Qunfen Qi,Yuchu Qin,Paul J. Scott,Xiangqian Jiang |
| Citations | 107 |
| DOI | 10.1007/s10845-020-01533-w |
| Fields | Earth and Planetary Sciences,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s10845-020-01533-w.pdf |
| OpenAlex ID | https://openalex.org/W3002505517 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Qunfen Qi](https://scholariq.org/researchers/qunfen-qi/)

## Paper journal

- [Journal of Intelligent Manufacturing](https://scholariq.org/journals/journal-of-intelligent-manufacturing/)

## Paper primary topic

- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)

## Paper topics

- [Manufacturing Process and Optimization](https://scholariq.org/topics/manufacturing-process-and-optimization/)
- [3D Surveying and Cultural Heritage](https://scholariq.org/topics/3d-surveying-and-cultural-heritage/)
- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-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.