Shuxuan Qu

24 total papers · 473 total citations
19 papers, 379 citations indexed

About

Shuxuan Qu is a scholar working on Materials Chemistry, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Shuxuan Qu has authored 19 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 7 papers in Mechanical Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Shuxuan Qu's work include Carbon Nanotubes in Composites (11 papers), Graphene research and applications (7 papers) and Fiber-reinforced polymer composites (6 papers). Shuxuan Qu is often cited by papers focused on Carbon Nanotubes in Composites (11 papers), Graphene research and applications (7 papers) and Fiber-reinforced polymer composites (6 papers). Shuxuan Qu collaborates with scholars based in China, Hong Kong and United States. Shuxuan Qu's co-authors include Weibang Lu, Lixin Xie, Shangfeng Yang, Qingwen Li, Xiao Huang, Minghua Li, Gengheng Zhou, Xinrong Jiang, Wenbin Gong and Dongxing Zhang and has published in prestigious journals such as ACS Nano, Carbon and Chemical Engineering Journal.

In The Last Decade

Shuxuan Qu

18 papers receiving 372 citations

Author Peers

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

Author Last Decade Papers Cites
Shuxuan Qu 227 131 118 98 70 19 379
H. Varela‐Rizo 293 1.3× 121 0.9× 103 0.9× 147 1.5× 83 1.2× 13 441
C. Pirlot 243 1.1× 205 1.6× 95 0.8× 90 0.9× 58 0.8× 11 432
Hao Zhang 258 1.1× 122 0.9× 92 0.8× 109 1.1× 66 0.9× 27 434
Kamalon Rajitha 304 1.3× 208 1.6× 74 0.6× 60 0.6× 42 0.6× 14 437
Jin Tian 240 1.1× 78 0.6× 94 0.8× 64 0.7× 83 1.2× 18 373
Reinack Varghese Hansen 195 0.9× 94 0.7× 85 0.7× 82 0.8× 70 1.0× 13 382
Sara Naderizadeh 172 0.8× 87 0.7× 92 0.8× 165 1.7× 45 0.6× 17 446
Saurav Ramesh Nayak 243 1.1× 161 1.2× 66 0.6× 55 0.6× 38 0.5× 14 351
Alenka Vesel 159 0.7× 87 0.7× 66 0.6× 86 0.9× 63 0.9× 14 393
Yuchao Dun 258 1.1× 74 0.6× 123 1.0× 92 0.9× 70 1.0× 16 414

Countries citing papers authored by Shuxuan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Shuxuan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuxuan Qu

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