Xiaobo Jin

38 papers and 651 indexed citations i.

About

Xiaobo Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Xiaobo Jin has authored 38 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Xiaobo Jin’s work include Face and Expression Recognition (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Xiaobo Jin is often cited by papers focused on Face and Expression Recognition (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). Xiaobo Jin collaborates with scholars based in China, United Kingdom and United Arab Emirates. Xiaobo Jin's co-authors include Guo-Sen Xie, Kaizhu Huang, Guanggang Geng, Zheng Zhang, Ling Shao, Yazhou Yao, Fan Zhu, Jie Qin, Li Liu and Zheng Guo and has published in prestigious journals such as Nano Letters, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Xiaobo Jin i

Fields of papers citing papers by Xiaobo Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaobo Jin

Since Specialization
Citations

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