Institute of Information Science, Academia Sinica
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Image Retrieval and Classification Techniques
- Advanced Steganography and Watermarking Techniques
- Signal Processing top 2%
Papers in
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- Advanced Image and Video Retrieval Techniques 195
- Advanced Vision and Imaging 182
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- Speech and Audio Processing 165
- Top scholars
- Hong-Yuan Mark LiaoChien-Yao WangAlexey BochkovskiyI-Hau YehMing‐Tat KoChu‐Song ChenChun-Shien LuChung‐Yen Lin
- Journals
- Lecture notes in computer science (397 papers)Pattern Recognition (38 papers)BMC Bioinformatics (34 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (33 papers)IEEE Transactions on Multimedia (33 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Institute of Information Science, Academia Sinica
3.5k papers receiving 86.8k citations
Peers
Comparison fields: 5 of 240
- Computer Vision and Pattern Recognition 30.2k
- Signal Processing 7.6k
- Artificial Intelligence 18.6k
- Media Technology 4.5k
- Computer Networks and Communications 11.5k
Countries citing scholars working at Institute of Information Science, Academia Sinica
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
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.
About Institute of Information Science, Academia Sinica
In recent decades, authors affiliated with Institute of Information Science, Academia Sinica have published 3.8k papers, which have received a total of 90.9k indexed citations . Scholars at this organization have produced 1.1k papers in Computer Vision and Pattern Recognition, 473 papers in Signal Processing, 280 papers in Hardware and Architecture, 857 papers in Computer Networks and Communications and 1.1k papers in Artificial Intelligence on the topics of Advanced Data Storage Technologies (214 papers), Parallel Computing and Optimization Techniques (204 papers), Natural Language Processing Techniques (202 papers), Topic Modeling (200 papers), Advanced Image and Video Retrieval Techniques (195 papers), Caching and Content Delivery (191 papers), Advanced Vision and Imaging (182 papers) and Speech and Audio Processing (165 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (30.2k citations), Signal Processing (7.6k citations), Artificial Intelligence (18.6k citations), Media Technology (4.5k citations) and Computer Networks and Communications (11.5k 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 Lecture notes in computer science, Pattern Recognition, BMC Bioinformatics, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Transactions on Multimedia. Some of Institute of Information Science, Academia Sinica's most productive authors include Hong-Yuan Mark Liao, Chien-Yao Wang, Alexey Bochkovskiy, I-Hau Yeh, Ming‐Tat Ko, Chu‐Song Chen, Chun-Shien Lu, Chung‐Yen Lin, Tyng-Luh Liu and Shu-Hwa Chen.
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.