Yan Gan

34 papers and 331 indexed citations i.

About

Yan Gan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Yan Gan has authored 34 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Yan Gan’s work include Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Image Processing Techniques (9 papers) and Digital Media Forensic Detection (8 papers). Yan Gan is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Image Processing Techniques (9 papers) and Digital Media Forensic Detection (8 papers). Yan Gan collaborates with scholars based in China, Germany and United States. Yan Gan's co-authors include Mao Ye, Yusheng Huang, Zheng Zhang, Qian Yang, Kedi Liu, Jian Huang, Honglang Li, Yiping Shen, Yi Liu and Yangmei Luo and has published in prestigious journals such as Scientific Reports, ACS Applied Materials & Interfaces and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Yan Gan i

Fields of papers citing papers by Yan Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Gan

Since Specialization
Citations

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