Yue Yan

17 total papers · 551 total citations
12 papers, 383 citations indexed

About

Yue Yan is a scholar working on Computational Mechanics, Modeling and Simulation and Materials Chemistry. According to data from OpenAlex, Yue Yan has authored 12 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 4 papers in Modeling and Simulation and 3 papers in Materials Chemistry. Recurrent topics in Yue Yan's work include Advanced Numerical Methods in Computational Mathematics (6 papers), COVID-19 epidemiological studies (4 papers) and Solidification and crystal growth phenomena (3 papers). Yue Yan is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (6 papers), COVID-19 epidemiological studies (4 papers) and Solidification and crystal growth phenomena (3 papers). Yue Yan collaborates with scholars based in China, United States and Canada. Yue Yan's co-authors include Wenbin Chen, Steven M. Wise, Cheng Wang, Zhuying Zhang, Xiaoming Wang, Weijia Li, Cheng Wang, Kazufumi Ito, Lisheng Hou and S. S. Ravindran and has published in prestigious journals such as SHILAP Revista de lepidopterología, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

Yue Yan

12 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Yue Yan	239	209	106	103	43	12	383
Lizhen Chen	139 0.6×	120 0.6×	49 0.5×	89 0.9×	61 1.4×	29	343
Cheng Wang Cheng Wang	161 0.7×	185 0.9×	76 0.7×	69 0.7×	55 1.3×	24	335
G. J. van Zwieten	258 1.1×	99 0.5×	72 0.7×	33 0.3×	23 0.5×	13	399
Andrea Giorgini	121 0.5×	310 1.5×	254 2.4×	41 0.4×	14 0.3×	24	421
P. Jamet	242 1.0×	42 0.2×	79 0.7×	71 0.7×	23 0.5×	8	376
Radhey S. Gupta	103 0.4×	53 0.3×	65 0.6×	82 0.8×	46 1.1×	20	429
Zhen Guan	160 0.7×	253 1.2×	106 1.0×	135 1.3×	55 1.3×	22	370
Shibin Dai	217 0.9×	236 1.1×	121 1.1×	38 0.4×	21 0.5×	20	405
Chun Liu	147 0.6×	146 0.7×	47 0.4×	32 0.3×	31 0.7×	10	342
A.B. Crowley	126 0.5×	167 0.8×	53 0.5×	23 0.2×	71 1.7×	14	402

Countries citing papers authored by Yue Yan

Since Specialization

Citations

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

Fields of papers citing papers by Yue Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Yan

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