Kaichun Mo

About

Kaichun Mo is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Kaichun Mo has authored 15 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 10 papers in Computer Vision and Pattern Recognition and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Kaichun Mo’s work include 3D Shape Modeling and Analysis (12 papers), Computer Graphics and Visualization Techniques (6 papers) and Human Pose and Action Recognition (4 papers). Kaichun Mo is often cited by papers focused on 3D Shape Modeling and Analysis (12 papers), Computer Graphics and Visualization Techniques (6 papers) and Human Pose and Action Recognition (4 papers). Kaichun Mo collaborates with scholars based in United States, China and United Kingdom. Kaichun Mo's co-authors include Leonidas Guibas, Hao Su, Li Yi, Subarna Tripathi, Shilin Zhu, Anne Lynn S. Chang, Paul Guerrero, Niloy J. Mitra, Peter Wonka and Abhinav Gupta and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Kaichun Mo i

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Fields of papers citing papers by Kaichun Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaichun Mo

Since Specialization

Citations

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