Shuyi Wu

53 total papers · 1.2k total citations
42 papers, 920 citations indexed

About

Shuyi Wu is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Shuyi Wu has authored 42 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 9 papers in Biomaterials and 6 papers in Surgery. Recurrent topics in Shuyi Wu's work include Bone Tissue Engineering Materials (9 papers), Graphene and Nanomaterials Applications (8 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Shuyi Wu is often cited by papers focused on Bone Tissue Engineering Materials (9 papers), Graphene and Nanomaterials Applications (8 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Shuyi Wu collaborates with scholars based in China, United States and Singapore. Shuyi Wu's co-authors include Yan Li, Lin Jin, Dingcai Wu, Zhenling Wang, Shulu Luo, Bingna Zheng, Guobin Liang, Ke Li, Shaohua Liu and Boshi Tian and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Shuyi Wu

38 papers receiving 904 citations

Hit Papers

Long-lasting renewable an... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Shuyi Wu 434 238 221 109 88 42 920
Qinghong Hu 598 1.4× 189 0.8× 298 1.3× 121 1.1× 89 1.0× 21 928
Shubham Jain 498 1.1× 209 0.9× 235 1.1× 111 1.0× 158 1.8× 50 1.0k
João Henrique Lopes 509 1.2× 262 1.1× 209 0.9× 149 1.4× 73 0.8× 45 991
Małgorzata Krok−Borkowicz 531 1.2× 294 1.2× 287 1.3× 214 2.0× 53 0.6× 53 886
Mohammad M. Farag 623 1.4× 306 1.3× 297 1.3× 134 1.2× 46 0.5× 58 1.1k
Anjaneyulu Udduttula 561 1.3× 286 1.2× 274 1.2× 196 1.8× 98 1.1× 39 1.0k
Suprabha Nayar 595 1.4× 224 0.9× 420 1.9× 109 1.0× 82 0.9× 53 979
San‐Yuan Chen 659 1.5× 218 0.9× 386 1.7× 151 1.4× 93 1.1× 26 1.0k
Pau Turón 505 1.2× 246 1.0× 341 1.5× 138 1.3× 151 1.7× 84 1.2k
И. И. Селезнева 457 1.1× 266 1.1× 242 1.1× 118 1.1× 102 1.2× 53 1.0k

Countries citing papers authored by Shuyi Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shuyi Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyi Wu

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