# PCB-YOLO: An Improved Detection Algorithm of PCB Surface Defects Based on YOLOv5

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/pcb-yolo-an-improved-detection-algorithm-of-pcb-surface-defects-based-on-yolov5/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junlong Tang,Shenbo Liu,Dongxue Zhao,Lijun Tang,Wanghui Zou,Bin Zheng |
| Citations | 144 |
| DOI | 10.3390/su15075963 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2071-1050/15/7/5963/pdf?version=1680145659 |
| OpenAlex ID | https://openalex.org/W4361275271 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Lijun Tang](https://scholariq.org/researchers/lijun-tang/)

## Paper journal

- [Sustainability](https://scholariq.org/journals/sustainability/)

## Paper primary topic

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Paper topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Visual Attention and Saliency Detection](https://scholariq.org/topics/visual-attention-and-saliency-detection/)

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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.