Yih-Kanq Chen

56 total papers · 942 total citations
48 papers, 785 citations indexed

About

Yih-Kanq Chen is a scholar working on Applied Mathematics, Aerospace Engineering and Computational Mechanics. According to data from OpenAlex, Yih-Kanq Chen has authored 48 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Applied Mathematics, 36 papers in Aerospace Engineering and 26 papers in Computational Mechanics. Recurrent topics in Yih-Kanq Chen's work include Gas Dynamics and Kinetic Theory (43 papers), Computational Fluid Dynamics and Aerodynamics (26 papers) and Plasma and Flow Control in Aerodynamics (26 papers). Yih-Kanq Chen is often cited by papers focused on Gas Dynamics and Kinetic Theory (43 papers), Computational Fluid Dynamics and Aerodynamics (26 papers) and Plasma and Flow Control in Aerodynamics (26 papers). Yih-Kanq Chen collaborates with scholars based in United States, Belgium and Canada. Yih-Kanq Chen's co-authors include Frank S. Milos, Tahir Gökçen, Bernard Laub, Kristina Skokova, Milad Mahzari, David Stewart, Steven Sepka, Jochen Marschall, Richard A. Copeland and John A. Dec and has published in prestigious journals such as Journal of Spacecraft and Rockets, Journal of Thermophysics and Heat Transfer and Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).

In The Last Decade

Yih-Kanq Chen

46 papers receiving 760 citations

Author Peers

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

Author						Papers	Cites
Yih-Kanq Chen	681	468	325	153	79	48	785
Tahir Gökçen	721 1.1×	462 1.0×	405 1.2×	164 1.1×	92 1.2×	75	900
F. Milos	588 0.9×	460 1.0×	262 0.8×	155 1.0×	80 1.0×	22	743
Ioana Cozmuta	467 0.7×	279 0.6×	205 0.6×	280 1.8×	81 1.0×	48	835
Takeharu Sakai	509 0.7×	367 0.8×	385 1.2×	87 0.6×	113 1.4×	72	734
Daniel J. Rasky	473 0.7×	447 1.0×	223 0.7×	275 1.8×	135 1.7×	47	901
S. Varoutis	453 0.7×	230 0.5×	212 0.7×	193 1.3×	28 0.4×	38	685
Jae Gang Kim	558 0.8×	289 0.6×	304 0.9×	105 0.7×	62 0.8×	39	697
C. Bruno	222 0.3×	410 0.9×	412 1.3×	130 0.8×	41 0.5×	68	840
Fabian Zander	454 0.7×	301 0.6×	255 0.8×	43 0.3×	121 1.5×	70	717
George A. Raiche	376 0.6×	194 0.4×	166 0.5×	109 0.7×	149 1.9×	42	712

Countries citing papers authored by Yih-Kanq Chen

Since Specialization

Citations

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

Fields of papers citing papers by Yih-Kanq Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yih-Kanq Chen. 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 Yih-Kanq Chen. The network helps show where Yih-Kanq Chen may publish in the future.

Co-authorship network of co-authors of Yih-Kanq Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yih-Kanq Chen. A scholar is included among the top collaborators of Yih-Kanq Chen 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 Yih-Kanq Chen. Yih-Kanq Chen 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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