Shaoyu Wang

73 total papers · 813 total citations
43 papers, 602 citations indexed

About

Shaoyu Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shaoyu Wang has authored 43 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 32 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Shaoyu Wang's work include Medical Imaging Techniques and Applications (30 papers), Advanced X-ray and CT Imaging (29 papers) and Radiation Dose and Imaging (11 papers). Shaoyu Wang is often cited by papers focused on Medical Imaging Techniques and Applications (30 papers), Advanced X-ray and CT Imaging (29 papers) and Radiation Dose and Imaging (11 papers). Shaoyu Wang collaborates with scholars based in China, United States and Hong Kong. Shaoyu Wang's co-authors include Weiwen Wu, Fenglin Liu, Hengyong Yu, Dianlin Hu, Fulin Luo, Kang An, Varut Vardhanabhuti, Jun Chen, Yang Chen and Xiaodong Guo and has published in prestigious journals such as IEEE Transactions on Image Processing, Optics Express and IEEE Access.

In The Last Decade

Shaoyu Wang

32 papers receiving 594 citations

Author Peers

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

Author Last Decade Papers Cites
Shaoyu Wang 475 411 90 46 38 43 602
Jiaming Liu 317 0.7× 305 0.7× 192 2.1× 62 1.3× 53 1.4× 48 698
Ander Biguri 345 0.7× 319 0.8× 55 0.6× 54 1.2× 149 3.9× 33 621
Yongbo Wang 371 0.8× 325 0.8× 79 0.9× 15 0.3× 40 1.1× 33 511
Jochen Hiller 361 0.8× 465 1.1× 46 0.5× 61 1.3× 71 1.9× 34 604
K. C. Tam 429 0.9× 294 0.7× 76 0.8× 20 0.4× 216 5.7× 39 564
Yinsheng Li 478 1.0× 408 1.0× 116 1.3× 15 0.3× 59 1.6× 68 655
Jie Yao 330 0.7× 235 0.6× 63 0.7× 30 0.7× 63 1.7× 26 559
Min Yang 166 0.3× 166 0.4× 119 1.3× 26 0.6× 120 3.2× 51 536
Paul Evans 189 0.4× 254 0.6× 95 1.1× 35 0.8× 212 5.6× 68 521
R. C. Bahn 355 0.7× 252 0.6× 50 0.6× 30 0.7× 11 0.3× 27 614

Countries citing papers authored by Shaoyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyu Wang

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