Chaoyu Quan

62 total papers · 896 total citations
27 papers, 587 citations indexed

About

Chaoyu Quan is a scholar working on Numerical Analysis, Materials Chemistry and Modeling and Simulation. According to data from OpenAlex, Chaoyu Quan has authored 27 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Numerical Analysis, 11 papers in Materials Chemistry and 9 papers in Modeling and Simulation. Recurrent topics in Chaoyu Quan's work include Solidification and crystal growth phenomena (9 papers), Differential Equations and Numerical Methods (9 papers) and Fractional Differential Equations Solutions (9 papers). Chaoyu Quan is often cited by papers focused on Solidification and crystal growth phenomena (9 papers), Differential Equations and Numerical Methods (9 papers) and Fractional Differential Equations Solutions (9 papers). Chaoyu Quan collaborates with scholars based in China, France and Germany. Chaoyu Quan's co-authors include Yvon Maday, Jean‐Philip Piquemal, Julia Contreras‐García, Francesca Peccati, Roberto A. Boto, Rubén Laplaza, Alessandra Carbone, Dong Li, Benjamin Stamm and Tao Tang and has published in prestigious journals such as The Journal of Chemical Physics, Journal of Computational Physics and Mathematics of Computation.

In The Last Decade

Chaoyu Quan

25 papers receiving 580 citations

Author Peers

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

Author						Papers	Cites
Chaoyu Quan	210	149	123	102	82	27	587
Zhennan Zhou	171 0.8×	86 0.6×	38 0.3×	70 0.7×	46 0.6×	58	564
Shenggao Zhou	138 0.7×	16 0.1×	73 0.6×	46 0.5×	142 1.7×	50	696
Nobuyuki Kato	174 0.8×	130 0.9×	9 0.1×	49 0.5×	17 0.2×	54	661
Zhi Lin	116 0.6×	249 1.7×	56 0.5×	4 0.0×	52 0.6×	42	560
Ben Leimkuhler	125 0.6×	25 0.2×	94 0.8×	6 0.1×	61 0.7×	19	601
R. E. Marsh	118 0.6×	97 0.7×	4 0.0×	41 0.4×	11 0.1×	24	559
Chitra Rangan	50 0.2×	18 0.1×	57 0.5×	52 0.5×	9 0.1×	33	520
B. Orel	231 1.1×	74 0.5×	41 0.3×	3 0.0×	21 0.3×	46	547
B. Lemaire	126 0.6×	249 1.7×	110 0.9×		37 0.5×	37	673
Sejong Kim	313 1.5×	84 0.6×	11 0.1×	5 0.0×	14 0.2×	64	680

Countries citing papers authored by Chaoyu Quan

Since Specialization

Citations

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

Fields of papers citing papers by Chaoyu Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoyu Quan

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