Di Qi

67 total papers · 834 total citations
35 papers, 469 citations indexed

About

Di Qi is a scholar working on Atmospheric Science, Computational Mechanics and Global and Planetary Change. According to data from OpenAlex, Di Qi has authored 35 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 18 papers in Computational Mechanics and 10 papers in Global and Planetary Change. Recurrent topics in Di Qi's work include Fluid Dynamics and Turbulent Flows (18 papers), Meteorological Phenomena and Simulations (17 papers) and Climate variability and models (9 papers). Di Qi is often cited by papers focused on Fluid Dynamics and Turbulent Flows (18 papers), Meteorological Phenomena and Simulations (17 papers) and Climate variability and models (9 papers). Di Qi collaborates with scholars based in United States, Australia and Hong Kong. Di Qi's co-authors include Andrew J. Majda, Nicholas J. Moore, Themistoklis P. Sapsis, John Harlim, Antoine Cerfon, Nan Chen, Yoonsang Lee, Zhenjun Ma, Fu Xiao and Yanzhong Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Computational Physics and Journal of the Atmospheric Sciences.

In The Last Decade

Di Qi

32 papers receiving 458 citations

Author Peers

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

Author Last Decade Papers Cites
Di Qi 211 140 130 125 84 35 469
Alban Farchi 220 1.0× 71 0.5× 174 1.3× 30 0.2× 27 0.3× 27 423
L. Kuznetsov 224 1.1× 141 1.0× 139 1.1× 54 0.4× 165 2.0× 18 440
Jacques Blum 182 0.9× 36 0.3× 187 1.4× 39 0.3× 174 2.1× 17 404
R. Lima 36 0.2× 105 0.8× 37 0.3× 170 1.4× 10 0.1× 21 465
W. P. Crowley 120 0.6× 39 0.3× 68 0.5× 216 1.7× 35 0.4× 19 461
Des Small 137 0.6× 224 1.6× 73 0.6× 40 0.3× 211 2.5× 16 442
T. G. L. Shirtcliffe 138 0.7× 48 0.3× 62 0.5× 141 1.1× 127 1.5× 17 506
Tom Beucler 242 1.1× 56 0.4× 220 1.7× 31 0.2× 27 0.3× 29 427
E. B. Gledzer 120 0.6× 28 0.2× 126 1.0× 247 2.0× 78 0.9× 35 480
Ian Langmore 135 0.6× 41 0.3× 124 1.0× 20 0.2× 25 0.3× 19 415

Countries citing papers authored by Di Qi

Since Specialization
Citations

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

Fields of papers citing papers by Di Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Di Qi. A scholar is included among the top collaborators of Di Qi 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 Di Qi. Di Qi 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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