Beilei Yuan

64 total papers · 1.0k total citations
53 papers, 813 citations indexed

About

Beilei Yuan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Beilei Yuan has authored 53 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 17 papers in Electrical and Electronic Engineering and 11 papers in Molecular Biology. Recurrent topics in Beilei Yuan's work include Perovskite Materials and Applications (13 papers), Nanoparticles: synthesis and applications (9 papers) and Computational Drug Discovery Methods (7 papers). Beilei Yuan is often cited by papers focused on Perovskite Materials and Applications (13 papers), Nanoparticles: synthesis and applications (9 papers) and Computational Drug Discovery Methods (7 papers). Beilei Yuan collaborates with scholars based in China, Belgium and United States. Beilei Yuan's co-authors include Fan Xu, Yong Pan, D.L. Sun, Bingqiang Cao, Huanqin Yu, Yujiao Li, Wei Wu, Xinru Wang, Juncheng Jiang and Yankai Xia and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Beilei Yuan

52 papers receiving 802 citations

Author Peers

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

Author Last Decade Papers Cites
Beilei Yuan 416 278 138 82 81 53 813
Prabhakaran Munusamy 590 1.4× 120 0.4× 153 1.1× 24 0.3× 66 0.8× 28 965
Liping Zou 288 0.7× 299 1.1× 180 1.3× 142 1.7× 66 0.8× 31 1.1k
Yanhong Ma 418 1.0× 186 0.7× 305 2.2× 18 0.2× 126 1.6× 56 948
Carlos A. Perez 242 0.6× 105 0.4× 126 0.9× 52 0.6× 49 0.6× 61 978
Jiayi He 543 1.3× 199 0.7× 205 1.5× 32 0.4× 76 0.9× 33 1.1k
Haifeng Zhang 275 0.7× 426 1.5× 138 1.0× 77 0.9× 149 1.8× 66 943
Nafiseh Farhadian 329 0.8× 120 0.4× 115 0.8× 20 0.2× 25 0.3× 60 858
Yiheng Dai 277 0.7× 51 0.2× 46 0.3× 94 1.1× 161 2.0× 29 720
Qinhua Zhang 382 0.9× 217 0.8× 71 0.5× 22 0.3× 264 3.3× 57 817
Tianle Li 232 0.6× 275 1.0× 176 1.3× 82 1.0× 30 0.4× 90 846

Countries citing papers authored by Beilei Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Beilei Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beilei Yuan

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