# FuS-GCN: Efficient B-rep based graph convolutional networks for 3D-CAD model classification and retrieval

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/fus-gcn-efficient-b-rep-based-graph-convolutional-networks-for-3d-cad-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junhao Hou,Chenqi Luo,Feiwei Qin,Yanli Shao,Xiaxuan Chen |
| Citations | 62 |
| DOI | 10.1016/j.aei.2023.102008 |
| Fields | Earth and Planetary Sciences,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.aei.2023.102008 |
| OpenAlex ID | https://openalex.org/W4377142375 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Feiwei Qin](https://scholariq.org/researchers/feiwei-qin/)

## Paper primary topic

- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)

## Paper topics

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

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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.