Guangyuan Fu

25 papers and 519 indexed citations i.

About

Guangyuan Fu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Guangyuan Fu has authored 25 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Artificial Intelligence. Recurrent topics in Guangyuan Fu’s work include Bioinformatics and Genomic Networks (9 papers), Machine Learning in Bioinformatics (6 papers) and Gene expression and cancer classification (4 papers). Guangyuan Fu is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Machine Learning in Bioinformatics (6 papers) and Gene expression and cancer classification (4 papers). Guangyuan Fu collaborates with scholars based in China, United States and Hong Kong. Guangyuan Fu's co-authors include Jun Wang, Guoxian Yu, Carlotta Domeniconi, Maozu Guo, Yazhou Ren, Hailong Zhu, Bo Yang, Zhuo Zhang, Xiaowu Chen and Xiaoyuan Yang and has published in prestigious journals such as Bioinformatics, IEEE Access and International Journal of Remote Sensing.

In The Last Decade

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

Fields of papers citing papers by Guangyuan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangyuan Fu

Since Specialization
Citations

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