Fei Dai

178 total papers · 3.1k total citations
45 papers, 836 citations indexed

About

Fei Dai is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, Fei Dai has authored 45 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Astronomy and Astrophysics, 12 papers in Instrumentation and 2 papers in Computational Mechanics. Recurrent topics in Fei Dai's work include Stellar, planetary, and galactic studies (39 papers), Astro and Planetary Science (33 papers) and Astrophysics and Star Formation Studies (25 papers). Fei Dai is often cited by papers focused on Stellar, planetary, and galactic studies (39 papers), Astro and Planetary Science (33 papers) and Astrophysics and Star Formation Studies (25 papers). Fei Dai collaborates with scholars based in United States, China and Australia. Fei Dai's co-authors include Lile Wang, Heather A. Knutson, Joshua N. Winn, Michael Zhang, Andrew W. Howard, Drake Deming, Liang Yu, Lauren M. Weiss, Matthew J. Holman and Kishore C. Patra and has published in prestigious journals such as Nature, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Fei Dai

40 papers receiving 641 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fei Dai 795 193 40 34 25 45 836
Rebekah I. Dawson 1.0k 1.3× 247 1.3× 25 0.6× 29 0.9× 21 0.8× 30 1.0k
Elisabeth R. Adams 859 1.1× 209 1.1× 64 1.6× 32 0.9× 30 1.2× 32 881
Gabriel-Dominique Marleau 758 1.0× 185 1.0× 57 1.4× 35 1.0× 25 1.0× 42 799
Eric Lopez 740 0.9× 178 0.9× 64 1.6× 28 0.8× 17 0.7× 25 771
Leonardo A. Dos Santos 623 0.8× 179 0.9× 43 1.1× 29 0.9× 21 0.8× 43 704
Alexandre Emsenhuber 784 1.0× 105 0.5× 46 1.1× 53 1.6× 25 1.0× 33 837
Vincent Van Eylen 769 1.0× 258 1.3× 45 1.1× 31 0.9× 17 0.7× 29 791
T. N. Gautier 824 1.0× 134 0.7× 47 1.2× 24 0.7× 28 1.1× 22 845
Daniel Thorngren 820 1.0× 217 1.1× 118 3.0× 41 1.2× 24 1.0× 40 893
Elisabeth Newton 767 1.0× 322 1.7× 24 0.6× 18 0.5× 28 1.1× 42 792

Countries citing papers authored by Fei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Fei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Dai. A scholar is included among the top collaborators of Fei Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fei Dai. Fei Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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