Shaoya Guan

664 citations
15 papers · 524 indexed · h-index 8
Topics
Medical Image Segmentation Techniques (6 papers)Soft Robotics and Applications (5 papers)Medical Imaging Techniques and Applications (4 papers)
Partner nations
China

In The Last Decade

Shaoya Guan

13 papers receiving 510 citations

Peers

Shaoya Guan
Comparison fields: 5 of 52
  • Biomedical Engineering 394
  • Control and Systems Engineering 217
  • Mechanical Engineering 170
  • Computer Vision and Pattern Recognition 100
  • Condensed Matter Physics 55
Replace Shahriar Sefati with:
Shahriar Sefati United States
Yangxin Xu Hong Kong
Olivier Piccin France
Kit-Hang Lee Hong Kong
Junhyoung Ha South Korea
Bo Pan China
Gianni Borghesan Belgium
Bruno Scaglioni United Kingdom
Jianzhong Shang United Kingdom
Jérémie Dequidt France
Shaoya Guan relative to Shahriar Sefati United States Shahriar Sefati's profile →
Citations per field
00.5×5.3×
Shahriar Sefati · 1×
Citations per year

Countries citing papers authored by Shaoya Guan

Since Specialization
Citations

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

Fields of papers citing papers by Shaoya Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoya Guan

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 15
5 54
6 3
7 15
8 15
9 31
10 1
11 107
12 1
13 104
14 169
15 5

About Shaoya Guan

Shaoya Guan is a scholar working on Computer Vision and Pattern Recognition, Physiology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 524 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Soft Robotics and Applications (5 papers) and Medical Imaging Techniques and Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (217 citations), Biomedical Engineering (394 citations) and Computer Vision and Pattern Recognition (100 citations). Shaoya Guan has collaborated with scholars based in China. Frequent co-authors include Tianmiao Wang, Xingbang Yang, Yufei Hao, Li Wen, Zheyuan Gong, Zhexin Xie, Ziyu Ren, Meng Cai, Qi Wang and Hui Wang. Their work appears in journals such as IEEE Access, Neurocomputing and IEEE Journal of Biomedical and Health Informatics.

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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