Feng Chu

About

Feng Chu is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Feng Chu has authored 6 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Feng Chu’s work include Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers) and Machine Learning in Bioinformatics (3 papers). Feng Chu is often cited by papers focused on Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (3 papers) and Machine Learning in Bioinformatics (3 papers). Feng Chu collaborates with scholars based in Singapore and China. Feng Chu's co-authors include Lipo Wang, Wei Xie and Nina Zhou and has published in prestigious journals such as Fuzzy Sets and Systems, IEEE/ACM Transactions on Computational Biology and Bioinformatics and International Journal of Neural Systems.

In The Last Decade

Co-authorship network of co-authors of Feng Chu i

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Fields of papers citing papers by Feng Chu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Chu

Since Specialization

Citations

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