Baoxiong Jia

12 papers and 195 indexed citations i.

About

Baoxiong Jia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Baoxiong Jia has authored 12 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Baoxiong Jia’s work include Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Baoxiong Jia is often cited by papers focused on Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Baoxiong Jia collaborates with scholars based in China and United States. Baoxiong Jia's co-authors include Song‐Chun Zhu, Yixin Zhu, Feng Gao, Chi Zhang, Siyuan Huang, Tengyu Liu, Wei Liang, Yixin Zhu, Yao Guo and Chi Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Advances and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

In The Last Decade

Co-authorship network of co-authors of Baoxiong Jia i

Fields of papers citing papers by Baoxiong Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baoxiong Jia

Since Specialization
Citations

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