Institute of Information Science, Academia Sinica

1.8k papers and 41.0k indexed citations i.

About

In recent decades, authors affiliated with Institute of Information Science, Academia Sinica have published 1.8k papers, which have received a total of 41.0k indexed citations. Scholars at this organization have produced 486 papers in Artificial Intelligence, 459 papers in Computer Vision and Pattern Recognition and 392 papers in Computer Networks and Communications on the topics of Speech and Audio Processing (104 papers), Speech Recognition and Synthesis (100 papers) and Advanced Data Storage Technologies (93 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (12.0k citations), Molecular Biology (9.1k citations) and Artificial Intelligence (6.8k 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 Journal of Biological Chemistry. 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, Chung‐Yen Lin, Shu-Hwa Chen, Chin-Wen Ho, Chun-Shien Lu, Chu‐Song Chen and Jun-Wei Hsieh.

In The Last Decade

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.

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).

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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