Microsoft Research Asia (China)

3.8k papers and 188.8k indexed citations i.

About

In recent decades, authors affiliated with Microsoft Research Asia (China) have published 3.8k papers, which have received a total of 188.8k indexed citations. Scholars at this organization have produced 2.1k papers in Computer Vision and Pattern Recognition, 1.4k papers in Artificial Intelligence and 639 papers in Signal Processing on the topics of Advanced Image and Video Retrieval Techniques (599 papers), Topic Modeling (550 papers) and Natural Language Processing Techniques (420 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (114.1k citations), Artificial Intelligence (53.8k citations) and Media Technology (25.4k citations). Authors at Microsoft Research Asia (China) collaborate with scholars in China, United States and Hong Kong and have published in prestigious journals including Nature, Angewandte Chemie International Edition and The Journal of Chemical Physics. Some of Microsoft Research Asia (China)'s most productive authors include Kaiming He, Xiaoou Tang, Han Hu, Stephen Lin, Baining Guo, Shuicheng Yan, Jingdong Wang, Heung‐Yeung Shum, Tie‐Yan Liu and Hao Zhang.

In The Last Decade

Fields of papers published by authors at Microsoft Research Asia (China)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Microsoft Research Asia (China) 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 Microsoft Research Asia (China) at the time of their publication.

Countries citing scholars working at Microsoft Research Asia (China)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Microsoft Research Asia (China). 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 Microsoft Research Asia (China) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Microsoft Research Asia (China) 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