Caixia Yan

19 papers and 391 indexed citations i.

About

Caixia Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Caixia Yan has authored 19 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Caixia Yan’s work include Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotic Path Planning Algorithms (3 papers). Caixia Yan is often cited by papers focused on Domain Adaptation and Few-Shot Learning (6 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Robotic Path Planning Algorithms (3 papers). Caixia Yan collaborates with scholars based in China, Australia and United States. Caixia Yan's co-authors include Qinghua Zheng, Xiaojun Chang, Minnan Luo, Zhihui Li, Xiaoqin Zhang, Weili Guan, Zongyuan Ge, Feiping Nie, Lei Zhu and Huan Liu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Information Sciences.

In The Last Decade

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

Fields of papers citing papers by Caixia Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Caixia Yan

Since Specialization
Citations

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