Fuji Ren

330 papers and 3.4k indexed citations i.

About

Fuji Ren is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Fuji Ren has authored 330 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Artificial Intelligence, 87 papers in Computer Vision and Pattern Recognition and 52 papers in Experimental and Cognitive Psychology. Recurrent topics in Fuji Ren’s work include Topic Modeling (64 papers), Advanced Text Analysis Techniques (60 papers) and Sentiment Analysis and Opinion Mining (60 papers). Fuji Ren is often cited by papers focused on Topic Modeling (64 papers), Advanced Text Analysis Techniques (60 papers) and Sentiment Analysis and Opinion Mining (60 papers). Fuji Ren collaborates with scholars based in Japan, China and United States. Fuji Ren's co-authors include Changqin Quan, Yu Gu, Mohamed I. Abdel‐Fattah, Xin Kang, Jie Li, Min Hu, Yiming Tang, Yusheng Ji, Witold Pedrycz and Xiaohua Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Co-authorship network of co-authors of Fuji Ren i

Fields of papers citing papers by Fuji Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuji Ren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fuji Ren. The network helps show where Fuji Ren may publish in the future.

Countries citing papers authored by Fuji Ren

Since Specialization
Citations

This map shows the geographic impact of Fuji Ren's research. 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 Fuji Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuji Ren 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