Liangzhe Yuan

About

Liangzhe Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Liangzhe Yuan has authored 12 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Liangzhe Yuan’s work include Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (4 papers) and Gesture Recognition in Human-Computer Interaction (3 papers). Liangzhe Yuan is often cited by papers focused on Human Pose and Action Recognition (7 papers), Multimodal Machine Learning Applications (4 papers) and Gesture Recognition in Human-Computer Interaction (3 papers). Liangzhe Yuan collaborates with scholars based in United States and The Netherlands. Liangzhe Yuan's co-authors include Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Boqing Gong, Li Zhang, Mingxing Tan, Dan Kondratyuk, Yandong Li, Matthew A. Brown and Christopher Reardon and has published in prestigious journals such as International Journal of Computer Vision, IEEE Robotics and Automation Letters and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

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Fields of papers citing papers by Liangzhe Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liangzhe Yuan

Since Specialization

Citations

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