Xinwei Song

82 total papers · 1.2k total citations
46 papers, 917 citations indexed

About

Xinwei Song is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Surgery. According to data from OpenAlex, Xinwei Song has authored 46 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 19 papers in Biomedical Engineering and 7 papers in Surgery. Recurrent topics in Xinwei Song's work include Mechanical Circulatory Support Devices (18 papers), Electromagnetic Compatibility and Noise Suppression (9 papers) and Fuel Cells and Related Materials (8 papers). Xinwei Song is often cited by papers focused on Mechanical Circulatory Support Devices (18 papers), Electromagnetic Compatibility and Noise Suppression (9 papers) and Fuel Cells and Related Materials (8 papers). Xinwei Song collaborates with scholars based in China, United States and Serbia. Xinwei Song's co-authors include Houston G. Wood, Don B. Olsen, Amy L. Throckmorton, James F. Antaki, Paul E. Allaire, Di Zhou, Leon J. Osterweil, Hideki Muramatsu, Kazuhiro Toriyama and Shuhei Torii and has published in prestigious journals such as Reports on Progress in Physics, Expert Systems with Applications and Frontiers in Microbiology.

In The Last Decade

Xinwei Song

40 papers receiving 885 citations

Author Peers

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

Author Last Decade Papers Cites
Xinwei Song 469 273 185 128 107 46 917
Katsuhiro Ohuchi 680 1.4× 225 0.8× 151 0.8× 70 0.5× 108 1.0× 42 843
Charlotte Debbaut 291 0.6× 413 1.5× 28 0.2× 82 0.6× 62 0.6× 72 1.1k
Giuseppe D’Avenio 368 0.8× 301 1.1× 55 0.3× 24 0.2× 390 3.6× 71 932
Jaesoon Choi 663 1.4× 396 1.5× 44 0.2× 72 0.6× 68 0.6× 87 1.1k
J. Lorenzen 673 1.4× 134 0.5× 82 0.4× 28 0.2× 18 0.2× 26 1.1k
Michael A. Sobieski 899 1.9× 806 3.0× 118 0.6× 66 0.5× 345 3.2× 52 1.1k
Lei Jing 210 0.4× 168 0.6× 124 0.7× 354 2.8× 21 0.2× 74 1.2k
Ji Zhang 119 0.3× 185 0.7× 226 1.2× 208 1.6× 117 1.1× 94 1.2k
Jonathan W. Valvano 387 0.8× 153 0.6× 206 1.1× 48 0.4× 245 2.3× 56 841
Ali Ahmadi 137 0.3× 59 0.2× 58 0.3× 149 1.2× 50 0.5× 59 853

Countries citing papers authored by Xinwei Song

Since Specialization
Citations

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

Fields of papers citing papers by Xinwei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinwei Song

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