Institute of Automation

6.4k papers and 171.5k indexed citations

About

In recent decades, authors affiliated with Institute of Automation have published 6.4k papers, which have received a total of 171.5k indexed citations. Scholars at this organization have produced 2.6k papers in Computer Vision and Pattern Recognition, 1.4k papers in Artificial Intelligence and 930 papers in Control and Systems Engineering on the topics of Advanced Image and Video Retrieval Techniques (584 papers), Functional Brain Connectivity Studies (477 papers) and Video Surveillance and Tracking Methods (418 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (61.1k citations), Cognitive Neuroscience (32.5k citations) and Artificial Intelligence (31.5k citations). Authors at Institute of Automation collaborate with scholars in China, United States and United Kingdom and have published in prestigious journals including Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research. Some of Institute of Automation's most productive authors include Tianzi Jiang, Tieniu Tan, Fei‐Yue Wang, Liang Wang, Enhua Wu, Samuel Albanie, Jie Hu, Li Shen, Gang Sun and Cheng‐Lin Liu.

In The Last Decade

Institute of Automation

5.8k papers receiving 169.7k citations

Fields of papers published by authors at Institute of Automation

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Automation 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 Institute of Automation at the time of their publication.

Countries citing scholars working at Institute of Automation

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Automation. 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 Institute of Automation with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institute of Automation 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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2026