Yanyun Qu

About

Yanyun Qu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Yanyun Qu has authored 17 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Yanyun Qu’s work include Video Surveillance and Tracking Methods (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (3 papers). Yanyun Qu is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Multimodal Machine Learning Applications (3 papers). Yanyun Qu collaborates with scholars based in China, United States and Poland. Yanyun Qu's co-authors include Cuihua Li, Yuan Xie, Lifeng Liu, Ming Hong, Jianzhuang Liu, Leyi Wei, Yong Huang, Quan Zou, Hongming Shan and Zhizhong Zhang and has published in prestigious journals such as Applied Mathematics and Computation, Frontiers of Information Technology & Electronic Engineering and Current Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Yanyun Qu i

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Fields of papers citing papers by Yanyun Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yanyun Qu

Since Specialization

Citations

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