Beijing Computing Center

About

In recent decades, authors affiliated with Beijing Computing Center have published 586 papers, which have received a total of 11.2k indexed citations. Scholars at this organization have produced 113 papers in Artificial Intelligence, 78 papers in Computer Vision and Pattern Recognition and 71 papers in Information Systems on the topics of Topic Modeling (33 papers), Numerical methods for differential equations (30 papers) and Nonlinear Waves and Solitons (27 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (1.7k citations) and Computational Mechanics (1.3k citations). Authors at Beijing Computing Center collaborate with scholars in China, United States and Taiwan and have published in prestigious journals including Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología. Some of Beijing Computing Center's most productive authors include Ya-xiang Yuan, Xin Ning, Yu Zheng, Weijun Li, Jiguang Sun, Zheng Zhang, Xuelong Li, David Zhang, Jian Yang and Yong Xu.

In The Last Decade

Beijing Computing Center

525 papers receiving 11.1k citations

Countries citing scholars working at Beijing Computing Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Beijing Computing Center. 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 papers produced at Beijing Computing Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beijing Computing Center more than expected).

Fields of papers published by authors at Beijing Computing Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Beijing Computing Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Beijing Computing Center at the time of their publication.

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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2026