Feng Dai

55 papers and 578 indexed citations i.

About

Feng Dai is a scholar working on Applied Mathematics, Numerical Analysis and Statistics and Probability. According to data from OpenAlex, Feng Dai has authored 55 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Applied Mathematics, 29 papers in Numerical Analysis and 15 papers in Statistics and Probability. Recurrent topics in Feng Dai’s work include Mathematical Approximation and Integration (27 papers), Advanced Harmonic Analysis Research (26 papers) and Mathematical functions and polynomials (19 papers). Feng Dai is often cited by papers focused on Mathematical Approximation and Integration (27 papers), Advanced Harmonic Analysis Research (26 papers) and Mathematical functions and polynomials (19 papers). Feng Dai collaborates with scholars based in Canada, China and United States. Feng Dai's co-authors include Z. Ditzian, Gavin Brown, Sergey Tikhonov, Yuan Xu, Vladimir Temlyakov, Heping Wang, Alexei Shadrin, Dmitriy Bilyk, Д. В. Горбачев and Wen Yuan and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Advances in Mathematics.

In The Last Decade

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

Fields of papers citing papers by Feng Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Dai

Since Specialization
Citations

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