F. G. Yuan

26 total papers · 481 total citations
20 papers, 362 citations indexed

About

F. G. Yuan is a scholar working on Mechanics of Materials, Civil and Structural Engineering and Materials Chemistry. According to data from OpenAlex, F. G. Yuan has authored 20 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanics of Materials, 7 papers in Civil and Structural Engineering and 6 papers in Materials Chemistry. Recurrent topics in F. G. Yuan's work include Ultrasonics and Acoustic Wave Propagation (5 papers), Composite Material Mechanics (4 papers) and Composite Structure Analysis and Optimization (4 papers). F. G. Yuan is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (5 papers), Composite Material Mechanics (4 papers) and Composite Structure Analysis and Optimization (4 papers). F. G. Yuan collaborates with scholars based in United States, China and United Kingdom. F. G. Yuan's co-authors include Lei Wang, Xiaoning Jiang, So Ran Kwon, Shujun Zhang, N. J. Pagano, Xiaojing Cai, Zhenxin Cao, Fujun Xu, Yiping Qiu and Fengming Zhang and has published in prestigious journals such as Journal of Applied Physics, Renewable Energy and Composites Science and Technology.

In The Last Decade

F. G. Yuan

18 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
F. G. Yuan	202	123	121	114	48	20	362
Wei Zhang	148 0.7×	139 1.1×	128 1.1×	76 0.7×	28 0.6×	37	300
Bo Chen	234 1.2×	95 0.8×	118 1.0×	134 1.2×	22 0.5×	30	403
Michele De Angelo	181 0.9×	154 1.3×	75 0.6×	76 0.7×	60 1.3×	13	320
Haodong Du	151 0.7×	99 0.8×	82 0.7×	108 0.9×	53 1.1×	21	332
R. Fritz	142 0.7×	175 1.4×	52 0.4×	183 1.6×	41 0.9×	15	383
Mei‐Feng Liu	226 1.1×	109 0.9×	141 1.2×	84 0.7×	45 0.9×	25	394
Cinzia Toscano	273 1.4×	39 0.3×	109 0.9×	133 1.2×	19 0.4×	30	393
Nima Nejadsadeghi	181 0.9×	159 1.3×	84 0.7×	46 0.4×	68 1.4×	14	313
Timothy Breitzman	257 1.3×	75 0.6×	85 0.7×	101 0.9×	31 0.6×	23	366
Prakash Rajendran	160 0.8×	89 0.7×	182 1.5×	103 0.9×	115 2.4×	20	369

Countries citing papers authored by F. G. Yuan

Since Specialization

Citations

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

Fields of papers citing papers by F. G. Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. G. Yuan. 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 F. G. Yuan. The network helps show where F. G. Yuan may publish in the future.

Co-authorship network of co-authors of F. G. Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of F. G. Yuan. A scholar is included among the top collaborators of F. G. Yuan 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 F. G. Yuan. F. G. Yuan 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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