Shanghai Artificial Intelligence Laboratory

1.4k papers and 18.0k indexed citations i.

About

In recent decades, authors affiliated with Shanghai Artificial Intelligence Laboratory have published 1.4k papers, which have received a total of 18.0k indexed citations. Scholars at this organization have produced 690 papers in Computer Vision and Pattern Recognition, 472 papers in Artificial Intelligence and 101 papers in Aerospace Engineering on the topics of Advanced Neural Network Applications (216 papers), Multimodal Machine Learning Applications (162 papers) and Domain Adaptation and Few-Shot Learning (144 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (10.7k citations), Artificial Intelligence (5.3k citations) and Media Technology (2.1k citations). Authors at Shanghai Artificial Intelligence Laboratory collaborate with scholars in China, Hong Kong and United States 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 Shanghai Artificial Intelligence Laboratory's most productive authors include Yu Qiao, Chao Dong, Zhenwei Shi, Zhengxia Zou, Keyan Chen, Xintao Wang, Chen Change Loy, Hongsheng Li, Jieping Ye and Yuhong Guo.

In The Last Decade

Fields of papers published by authors at Shanghai Artificial Intelligence Laboratory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing scholars working at Shanghai Artificial Intelligence Laboratory

Since Specialization
Citations

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