Ning Dai

12 papers and 223 indexed citations i.

About

Ning Dai is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Polymers and Plastics. According to data from OpenAlex, Ning Dai has authored 12 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Polymers and Plastics. Recurrent topics in Ning Dai’s work include Industrial Vision Systems and Defect Detection (9 papers), Textile materials and evaluations (5 papers) and Vehicle License Plate Recognition (2 papers). Ning Dai is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Textile materials and evaluations (5 papers) and Vehicle License Plate Recognition (2 papers). Ning Dai collaborates with scholars based in China. Ning Dai's co-authors include Yunfan Shao, Tianxiang Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang, Lei Shi, Weimin Shi, Xudong Hu, Bo Cao and Xiaohan Hu and has published in prestigious journals such as Scientific Reports, Sensors and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Ning Dai i

Fields of papers citing papers by Ning Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ning Dai. The network helps show where Ning Dai may publish in the future.

Countries citing papers authored by Ning Dai

Since Specialization
Citations

This map shows the geographic impact of Ning Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ning Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Dai more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025