RIKEN Center for Advanced Intelligence Project

2.0k papers and 33.0k indexed citations i.

About

In recent decades, authors affiliated with RIKEN Center for Advanced Intelligence Project have published 2.0k papers, which have received a total of 33.0k indexed citations. Scholars at this organization have produced 550 papers in Artificial Intelligence, 360 papers in Computer Vision and Pattern Recognition and 215 papers in Molecular Biology on the topics of Remote-Sensing Image Classification (103 papers), Topic Modeling (98 papers) and Machine Learning in Materials Science (87 papers). Their work is cited by papers focused on Artificial Intelligence (7.6k citations), Computer Vision and Pattern Recognition (6.2k citations) and Media Technology (4.1k citations). Authors at RIKEN Center for Advanced Intelligence Project collaborate with scholars in Japan, China and United States and have published in prestigious journals including Nature, Science and Cell. Some of RIKEN Center for Advanced Intelligence Project's most productive authors include Xiaokang Zhou, Naoto Yokoya, Wei Liang, Koji Tsuda, Kevin I‐Kai Wang, Wei He, Bahareh Kalantar, Junshi Xia, Qibin Zhao and Qun Jin.

In The Last Decade

Fields of papers published by authors at RIKEN Center for Advanced Intelligence Project

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with RIKEN Center for Advanced Intelligence Project 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 RIKEN Center for Advanced Intelligence Project at the time of their publication.

Countries citing scholars working at RIKEN Center for Advanced Intelligence Project

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at RIKEN Center for Advanced Intelligence Project. 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 RIKEN Center for Advanced Intelligence Project with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites RIKEN Center for Advanced Intelligence Project 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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2025