Fajie Yuan

38 papers and 852 indexed citations i.

About

Fajie Yuan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fajie Yuan has authored 38 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 26 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fajie Yuan’s work include Recommender Systems and Techniques (22 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (8 papers). Fajie Yuan is often cited by papers focused on Recommender Systems and Techniques (22 papers), Topic Modeling (17 papers) and Multimodal Machine Learning Applications (8 papers). Fajie Yuan collaborates with scholars based in China, United Kingdom and Japan. Fajie Yuan's co-authors include Xiangnan He, Joemon M. Jose, Alexandros Karatzoglou, Ioannis Arapakis, Guibing Guo, Long Chen, Hai-Tao Yu, Xiaoyu Du, Tat‐Seng Chua and Weinan Zhang and has published in prestigious journals such as Nature Communications, Molecular Cell and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Fajie Yuan i

Fields of papers citing papers by Fajie Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fajie Yuan. 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 Fajie Yuan. The network helps show where Fajie Yuan may publish in the future.

Countries citing papers authored by Fajie Yuan

Since Specialization
Citations

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