Home / Public paper maps / PaperRESEARCH PAPER · Optik · 2026
High-precision and efficient nondestructive infrared thermal imaging detection and recognition of defect size and depth in GFRP composites based on BP neural network Ming Yang , Wenze Deng , Jing Ning , Haotian Ren , Qiqin Li , Zishun Zhao , Lijun Yuan , Xiaoqiang Zhang , Xin Hua Zhou , Xiaoguang Tu , Changhua Liu , Xijun Liu , Xinyu Zhu
Read original paper ↗ See where this research leads. A citation map has not been saved for this paper yet.
The paper record is available below. Preparing a network uses the existing account and source-allowance controls.
Papers that cite this work No saved citation network is available; this does not mean the paper has no citations.
The evidence behind the map Abstract An abstract is not available in this saved record.
Coverage and freshness Citation coverage has not been established for this paper.
A dated network is not a complete or live citation census. A citation does not prove endorsement or research quality. Counts depend on publication age and index coverage. Colors identify research areas; positions are for readability.
Source: Saved OpenAlex scholarly metadata. Visits to this public page do not acquire new provider data.
Report a correction