Jiajun Liang

About

Jiajun Liang is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Jiajun Liang has authored 6 papers receiving a total of 183 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Biomedical Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Jiajun Liang’s work include COVID-19 diagnosis using AI (1 paper), Infrared Thermography in Medicine (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jiajun Liang is often cited by papers focused on COVID-19 diagnosis using AI (1 paper), Infrared Thermography in Medicine (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Jiajun Liang collaborates with scholars based in China, Hong Kong and United States. Jiajun Liang's co-authors include Pengyuan Lyu, Minghui Liao, Zhaoyi Wan, Jian Zhang, Xiang Bai, Cong Yao, Bingbing Yu, Yi Zhou, Yi Wang and Borui Zhao and has published in prestigious journals such as Multimedia Tools and Applications, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and PubMed.

In The Last Decade

Co-authorship network of co-authors of Jiajun Liang i

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Fields of papers citing papers by Jiajun Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiajun Liang

Since Specialization

Citations

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