Shuyi Wang

423 total citations
35 papers, 280 citations indexed

About

Shuyi Wang is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Shuyi Wang has authored 35 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Biomedical Engineering. Recurrent topics in Shuyi Wang's work include Surgical Simulation and Training (6 papers), Anatomy and Medical Technology (5 papers) and Augmented Reality Applications (4 papers). Shuyi Wang is often cited by papers focused on Surgical Simulation and Training (6 papers), Anatomy and Medical Technology (5 papers) and Augmented Reality Applications (4 papers). Shuyi Wang collaborates with scholars based in China, Singapore and United States. Shuyi Wang's co-authors include Jin Yao, Ershun Pan, Tao Zan, Wei Guo, Jun Ren, Dehui Wang, Chaohuan Guo, Weiting Huang, Yichun Shen and Hui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Shuyi Wang

29 papers receiving 275 citations

Peers

Shuyi Wang
Comparison fields: 5 of 97
  • Surgery 108
  • Computer Vision and Pattern Recognition 49
  • Biomedical Engineering 48
  • Statistics, Probability and Uncertainty 34
  • Management Information Systems 31
Replace Kazuya Kobayashi with:
Kazuya Kobayashi Japan
Pasquale Sullo United States
Sharmila Subramaniam United Kingdom
Alain Cardon France
Shigeyuki Tomita Japan
Marco Tesei Italy
Yun Hu China
Enrico Ferrari Italy
Johannes Müller Germany
Shawn Sun United States
Kazuya Kobayashi Japan View profile →
Citations per field, relative to Shuyi Wang
Shuyi Wang · 1×
Citations per year, relative to Shuyi Wang
Shuyi Wang · 1×

Countries citing papers authored by Shuyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuyi Wang. A scholar is included among the top collaborators of Shuyi 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 Shuyi Wang. Shuyi Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 0
6 0
7 10
8 1
9 16
10 3
11 6
12 2
13 22
14 43
15 14
16 3
17 51
18 2
19 13
20 1

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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