Tencent (China)

5.4k papers and 133.3k indexed citations

About

In recent decades, authors affiliated with Tencent (China) have published 5.4k papers, which have received a total of 133.3k indexed citations. Scholars at this organization have produced 2.6k papers in Artificial Intelligence, 2.4k papers in Computer Vision and Pattern Recognition and 617 papers in Information Systems on the topics of Topic Modeling (930 papers), Natural Language Processing Techniques (637 papers) and Multimodal Machine Learning Applications (598 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (64.6k citations), Artificial Intelligence (53.6k citations) and Information Systems (12.1k citations). Authors at Tencent (China) 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 Nucleic Acids Research. Some of Tencent (China)'s most productive authors include Wei Liu, Jiaya Jia, Feiyue Huang, Junzhou Huang, Lin Ma, Rongrong Ji, Ying Shan, Xiaoyong Shen, Xintao Wang and Zhiyuan Liu.

In The Last Decade

Tencent (China)

4.8k papers receiving 130.9k citations

Countries citing scholars working at Tencent (China)

Since Specialization
Citations

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

Fields of papers published by authors at Tencent (China)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Tencent (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 Tencent (China) 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