Beijing Academy of Artificial Intelligence

4.0k papers and 50.2k indexed citations i.

About

In recent decades, authors affiliated with Beijing Academy of Artificial Intelligence have published 4.0k papers, which have received a total of 50.2k indexed citations. Scholars at this organization have produced 1.4k papers in Computer Vision and Pattern Recognition, 1.3k papers in Artificial Intelligence and 406 papers in Control and Systems Engineering on the topics of Advanced Neural Network Applications (302 papers), Multimodal Machine Learning Applications (279 papers) and Domain Adaptation and Few-Shot Learning (272 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (17.3k citations), Artificial Intelligence (14.7k citations) and Control and Systems Engineering (5.8k citations). Authors at Beijing Academy of Artificial Intelligence collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of the American Chemical Society. Some of Beijing Academy of Artificial Intelligence's most productive authors include Junfei Qiao, Long Cheng, Changsheng Xu, Fei‐Yue Wang, Honggui Han, Zhenwei Shi, Zhengxia Zou, Jie Tian, Zhiyuan Liu and Keyan Chen.

In The Last Decade

Fields of papers published by authors at Beijing Academy of Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Beijing Academy of Artificial Intelligence 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 Academy of Artificial Intelligence at the time of their publication.

Countries citing scholars working at Beijing Academy of Artificial Intelligence

Since Specialization
Citations

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