Jie Fu

27 papers and 378 indexed citations i.

About

Jie Fu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jie Fu has authored 27 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Molecular Biology. Recurrent topics in Jie Fu’s work include Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Jie Fu is often cited by papers focused on Topic Modeling (13 papers), Natural Language Processing Techniques (9 papers) and Multimodal Machine Learning Applications (4 papers). Jie Fu collaborates with scholars based in China, United States and Canada. Jie Fu's co-authors include Federica Bisio, Soujanya Poria, Erik Cambria, Jiancheng Lv, Dayiheng Liu, Zhihong Chen, Benyou Wang, Prayag Tiwari, Qianqian Xie and Chris Pal and has published in prestigious journals such as Nature Biotechnology, IEEE Transactions on Automatic Control and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Jie Fu i

Fields of papers citing papers by Jie Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jie Fu

Since Specialization
Citations

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