Institute of Information Science, Academia Sinica

3.2k papers and 72.1k indexed citations

About

In recent decades, authors affiliated with Institute of Information Science, Academia Sinica have published 3.2k papers, which have received a total of 72.1k indexed citations. Scholars at this organization have produced 930 papers in Computer Vision and Pattern Recognition, 865 papers in Artificial Intelligence and 756 papers in Computer Networks and Communications on the topics of Advanced Data Storage Technologies (199 papers), Parallel Computing and Optimization Techniques (185 papers) and Caching and Content Delivery (178 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (24.2k citations), Artificial Intelligence (13.5k citations) and Molecular Biology (11.2k citations). Authors at Institute of Information Science, Academia Sinica collaborate with scholars in Taiwan, United States and China and have published in prestigious journals including Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials. Some of Institute of Information Science, Academia Sinica's most productive authors include Hong-Yuan Mark Liao, Chien-Yao Wang, Alexey Bochkovskiy, Ming‐Tat Ko, Chu‐Song Chen, Chun-Shien Lu, Chung‐Yen Lin, Shu-Hwa Chen, Tyng-Luh Liu and Chin-Wen Ho.

In The Last Decade

Institute of Information Science, Academia Sinica

3.0k papers receiving 71.6k citations

Countries citing scholars working at Institute of Information Science, Academia Sinica

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Institute of Information Science, Academia Sinica. 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 Information Science, Academia Sinica 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 Information Science, Academia Sinica more than expected).

Fields of papers published by authors at Institute of Information Science, Academia Sinica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Institute of Information Science, Academia Sinica 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 Information Science, Academia Sinica 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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