Haichuan Song

13 papers and 222 indexed citations i.

About

Haichuan Song is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology. According to data from OpenAlex, Haichuan Song has authored 13 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Media Technology. Recurrent topics in Haichuan Song’s work include 3D Shape Modeling and Analysis (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Haichuan Song is often cited by papers focused on 3D Shape Modeling and Analysis (3 papers), Computer Graphics and Visualization Techniques (2 papers) and Additive Manufacturing and 3D Printing Technologies (2 papers). Haichuan Song collaborates with scholars based in China, France and Japan. Haichuan Song's co-authors include Sylvain Lefèbvre, Jonàs Martínez, Samuel Hornus, Jérémie Dumas, Lizhuang Ma, Yuan Xie, Nicolas Ray, Dmitry Sokolov, Xin Tan and Yanyun Qu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Small and ACM Transactions on Graphics.

In The Last Decade

Co-authorship network of co-authors of Haichuan Song i

Fields of papers citing papers by Haichuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haichuan Song

Since Specialization
Citations

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