Wenlong Dai

39 total papers · 1.1k total citations
27 papers, 877 citations indexed

About

Wenlong Dai is a scholar working on Computational Mechanics, Applied Mathematics and Astronomy and Astrophysics. According to data from OpenAlex, Wenlong Dai has authored 27 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Mechanics, 10 papers in Applied Mathematics and 6 papers in Astronomy and Astrophysics. Recurrent topics in Wenlong Dai's work include Computational Fluid Dynamics and Aerodynamics (13 papers), Gas Dynamics and Kinetic Theory (10 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Wenlong Dai is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (13 papers), Gas Dynamics and Kinetic Theory (10 papers) and Fluid Dynamics and Turbulent Flows (7 papers). Wenlong Dai collaborates with scholars based in United States, Taiwan and China. Wenlong Dai's co-authors include Paul R. Woodward, Hsien‐Kuang Liu, Jin H. Huang, Jingjing Chen, Chenfu Yi, Jun Cai and Wen-Jeng Chang and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and Journal of Computational Physics.

In The Last Decade

Wenlong Dai

26 papers receiving 825 citations

Author Peers

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

Author						Papers	Cites
Wenlong Dai	538	282	211	114	110	27	877
William B. Bush	678 1.3×	253 0.9×	93 0.4×	69 0.6×	71 0.6×	55	929
Shih‐I Pai	690 1.3×	179 0.6×	124 0.6×	308 2.7×	34 0.3×	14	1.1k
Takayuki Utsumi	434 0.8×	50 0.2×	62 0.3×	31 0.3×	97 0.9×	25	762
Paul M. Chung	325 0.6×	149 0.5×	112 0.5×	83 0.7×	189 1.7×	41	943
Yasuhiro Wada	615 1.1×	452 1.6×	40 0.2×	46 0.4×	33 0.3×	17	873
Samuel Kokh	713 1.3×	304 1.1×	56 0.3×	9 0.1×	42 0.4×	31	857
Ira M. Cohen	402 0.7×	136 0.5×	101 0.5×	225 2.0×	133 1.2×	42	1.0k
J. Falcovitz	809 1.5×	383 1.4×	62 0.3×	8 0.1×	48 0.4×	50	983
Lowell H. Holway	493 0.9×	561 2.0×	124 0.6×	16 0.1×	57 0.5×	30	892
Leonid Prigozhin	196 0.4×	146 0.5×	28 0.1×	23 0.2×	62 0.6×	40	949

Countries citing papers authored by Wenlong Dai

Since Specialization

Citations

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

Fields of papers citing papers by Wenlong Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenlong Dai

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