Si Yong Yeo

503 citations
26 papers · 266 indexed · h-index 10
Topics
Medical Image Segmentation Techniques (13 papers)Cardiovascular Function and Risk Factors (4 papers)Advanced MRI Techniques and Applications (4 papers)

In The Last Decade

Si Yong Yeo

25 papers receiving 259 citations

Peers

Si Yong Yeo
Comparison fields: 5 of 74
  • Computer Vision and Pattern Recognition 118
  • Radiology, Nuclear Medicine and Imaging 62
  • Cardiology and Cardiovascular Medicine 58
  • Biomedical Engineering 40
  • Artificial Intelligence 40
Replace Fuli Wu with:
Fuli Wu China
Laura Reden United States
Tiexiang Wen China
Olivier Pauly Germany
Dagmar Kainmueller Germany
Sebastián Ordás Spain
Connah Kendrick United Kingdom
Jiřı́ Hladůvka Austria
Manasi Datar United States
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Si Yong Yeo relative to Fuli Wu China Fuli Wu's profile →
Citations per field
00.5×1.5×2.4×
Fuli Wu · 1×
Citations per year

Countries citing papers authored by Si Yong Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Si Yong Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si Yong Yeo. 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 Si Yong Yeo. The network helps show where Si Yong Yeo may publish in the future.

Co-authorship network of co-authors of Si Yong Yeo

This figure shows the co-authorship network connecting the top 25 collaborators of Si Yong Yeo. A scholar is included among the top collaborators of Si Yong Yeo 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 Si Yong Yeo. Si Yong Yeo 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
#WorkIndexed citations
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2 0
3 4
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5 15
6 17
7 4
8 9
9 11
10 15
11 3
12 18
13
Left Ventricle Segmentation by Circular Shape Constrained Clustering Algorithm
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14 2
15 32
16 23
17 8
18 20
19 5
20 7

About Si Yong Yeo

Si Yong Yeo is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Biophysics, having authored 26 papers that have together received 266 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Cardiovascular Function and Risk Factors (4 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (118 citations), Computer Graphics and Computer-Aided Design (12 citations) and Health Informatics (4 citations). Si Yong Yeo has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Igor Sazonov, Perumal Nithiarasu, Xianghua Xie, Ru‐San Tan, Liang Zhong, Yi Su, Xulei Yang, Jun Liu, Yun Ni and Dhanjoo N. Ghista. Their work appears in journals such as Circulation, PLoS ONE and Scientific Reports.

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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