Hanbyul Joo

25 papers and 2.1k indexed citations i.

About

Hanbyul Joo is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Control and Systems Engineering. According to data from OpenAlex, Hanbyul Joo has authored 25 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 9 papers in Control and Systems Engineering. Recurrent topics in Hanbyul Joo’s work include Human Pose and Action Recognition (16 papers), 3D Shape Modeling and Analysis (10 papers) and Human Motion and Animation (9 papers). Hanbyul Joo is often cited by papers focused on Human Pose and Action Recognition (16 papers), 3D Shape Modeling and Analysis (10 papers) and Human Motion and Animation (9 papers). Hanbyul Joo collaborates with scholars based in United States, South Korea and Israel. Hanbyul Joo's co-authors include Tomas Simon, Yaser Sheikh, Iain Matthews, Shunsuke Saito, Jason Saragih, Donglai Xiang, Natalia Neverova, Andrea Vedaldi, Takaaki Shiratori and Evonne Ng and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Industrial Microbiology & Biotechnology and 2009 IEEE Conference on Computer Vision and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Hanbyul Joo i

Fields of papers citing papers by Hanbyul Joo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hanbyul Joo

Since Specialization
Citations

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