Jun Wen

24 papers and 253 indexed citations
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About

Jun Wen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jun Wen has authored 24 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Jun Wen’s work include Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers) and Human Pose and Action Recognition (5 papers). Jun Wen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Multimodal Machine Learning Applications (5 papers) and Human Pose and Action Recognition (5 papers). Jun Wen collaborates with scholars based in China, United States and Canada. Jun Wen's co-authors include Nenggan Zheng, Zhefeng Gong, Risheng Liu, Jianhua Dai, Changbin Yu, Dongfang Liu, Zheng Qian, Junsong Yuan, Yuntao Qian and Liang Wang and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Jun Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wen. A scholar is included among the top collaborators of Jun Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Wen. Jun Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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