Shan Gai

64 papers and 664 indexed citations i.

About

Shan Gai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Shan Gai has authored 64 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 29 papers in Media Technology and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Shan Gai’s work include Image and Signal Denoising Methods (28 papers), Advanced Image Fusion Techniques (25 papers) and Advanced Image Processing Techniques (13 papers). Shan Gai is often cited by papers focused on Image and Signal Denoising Methods (28 papers), Advanced Image Fusion Techniques (25 papers) and Advanced Image Processing Techniques (13 papers). Shan Gai collaborates with scholars based in China, Italy and United States. Shan Gai's co-authors include Guowei Yang, Minghua Wan, Lei Wang, Cihui Yang, Jing Wen, Fabio Somenzi, Pier Luca Montessoro, Xiang Huang, Boyu Zhang and Sheng Zhang and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Shan Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shan Gai

Since Specialization
Citations

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