Shaoyan Gai

38 papers and 462 indexed citations i.

About

Shaoyan Gai is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Media Technology. According to data from OpenAlex, Shaoyan Gai has authored 38 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 12 papers in Mechanical Engineering and 12 papers in Media Technology. Recurrent topics in Shaoyan Gai’s work include Optical measurement and interference techniques (26 papers), Advanced Measurement and Metrology Techniques (12 papers) and Image Processing Techniques and Applications (12 papers). Shaoyan Gai is often cited by papers focused on Optical measurement and interference techniques (26 papers), Advanced Measurement and Metrology Techniques (12 papers) and Image Processing Techniques and Applications (12 papers). Shaoyan Gai collaborates with scholars based in China, United States and Singapore. Shaoyan Gai's co-authors include Feipeng Da, Lin Huang, Dingcai Cao, Ming Tang, Lulu Zeng, Wenjian Li, Xincheng Yao, Yiming Lu, Xiaohui Zhao and Benquan Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Shaoyan Gai i

Fields of papers citing papers by Shaoyan Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaoyan Gai. 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 Shaoyan Gai. The network helps show where Shaoyan Gai may publish in the future.

Countries citing papers authored by Shaoyan Gai

Since Specialization
Citations

This map shows the geographic impact of Shaoyan Gai'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 Shaoyan Gai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoyan Gai 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