Gang Fang

104 papers and 3.2k indexed citations i.

About

Gang Fang is a scholar working on Molecular Biology, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Gang Fang has authored 104 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 23 papers in Information Systems and 17 papers in Computational Theory and Mathematics. Recurrent topics in Gang Fang’s work include Data Mining Algorithms and Applications (21 papers), Rough Sets and Fuzzy Logic (17 papers) and Genomics and Phylogenetic Studies (13 papers). Gang Fang is often cited by papers focused on Data Mining Algorithms and Applications (21 papers), Rough Sets and Fuzzy Logic (17 papers) and Genomics and Phylogenetic Studies (13 papers). Gang Fang collaborates with scholars based in China, United States and France. Gang Fang's co-authors include Antoine Danchin, Mark Gerstein, Eric E. Schadt, Roger P. Alexander, Joel Rozowsky, M Snyder, Eduardo P. C. Rocha, John Beaulaurier, Shijia Zhu and Edward A. Mead and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Gang Fang i

Fields of papers citing papers by Gang Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Fang

Since Specialization
Citations

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