Hangjie Yuan

11 papers and 139 indexed citations i.

About

Hangjie Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Hangjie Yuan has authored 11 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Hangjie Yuan’s work include Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Hangjie Yuan is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Hangjie Yuan collaborates with scholars based in China, United States and Singapore. Hangjie Yuan's co-authors include Dong Ni, Mang Wang, Shiwei Zhang, Tao Feng, Samuel Albanie, Jianwen Jiang, Deli Zhao, Xiaotian Song, Zhi‐Heng Liu and Hongming Shan and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Co-authorship network of co-authors of Hangjie Yuan i

Fields of papers citing papers by Hangjie Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hangjie Yuan

Since Specialization
Citations

This map shows the geographic impact of Hangjie Yuan'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 Hangjie Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hangjie Yuan 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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2025