Hang Chu

19 papers and 479 indexed citations i.

About

Hang Chu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Hang Chu has authored 19 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 4 papers in Artificial Intelligence. Recurrent topics in Hang Chu’s work include 3D Shape Modeling and Analysis (6 papers), Video Surveillance and Tracking Methods (5 papers) and Manufacturing Process and Optimization (4 papers). Hang Chu is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Video Surveillance and Tracking Methods (5 papers) and Manufacturing Process and Optimization (4 papers). Hang Chu collaborates with scholars based in United States, China and Canada. Hang Chu's co-authors include Joseph G. Lambourne, Chin-Yi Cheng, Sanja Fidler, Aditya Sanghi, Raquel Urtasun, Karl D. D. Willis, Ye Wang, Yewen Pu, Gellért Máttyus and Bin Yang and has published in prestigious journals such as Molecules, Journal of Ethnopharmacology and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Hang Chu i

Fields of papers citing papers by Hang Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hang Chu

Since Specialization
Citations

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