Tianfan Fu

24 papers and 573 indexed citations i.

About

Tianfan Fu is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Tianfan Fu has authored 24 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Molecular Biology and 9 papers in Computational Theory and Mathematics. Recurrent topics in Tianfan Fu’s work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (7 papers) and Speech and Audio Processing (5 papers). Tianfan Fu is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (7 papers) and Speech and Audio Processing (5 papers). Tianfan Fu collaborates with scholars based in United States, China and United Kingdom. Tianfan Fu's co-authors include Jimeng Sun, Cao Xiao, Lucas M. Glass, Kexin Huang, Marinka Žitnik, Kai Yu, Yanmin Qian, Ya Zhang, Nanxin Chen and Yuan Liu and has published in prestigious journals such as Bioinformatics, Nature Chemical Biology and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

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

Fields of papers citing papers by Tianfan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tianfan Fu

Since Specialization
Citations

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