Min Wan

462 total citations
31 papers, 305 citations indexed

About

Min Wan is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Min Wan has authored 31 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Surgery and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Min Wan's work include Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Function and Risk Factors (10 papers) and Medical Image Segmentation Techniques (9 papers). Min Wan is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Cardiovascular Function and Risk Factors (10 papers) and Medical Image Segmentation Techniques (9 papers). Min Wan collaborates with scholars based in Singapore, China and United States. Min Wan's co-authors include Liang Zhong, Ru‐San Tan, Junmei Zhang, Xiaodan Zhao, Boyang Su, Ghassan S. Kassab, Swee Yaw Tan, Tong Luo, Yunlong Huo and Aaron Sung Lung Wong and has published in prestigious journals such as PLoS ONE, Scientific Reports and Spine.

In The Last Decade

Min Wan

28 papers receiving 300 citations

Peers

Min Wan
Comparison fields: 5 of 69
  • Surgery 170
  • Radiology, Nuclear Medicine and Imaging 167
  • Cardiology and Cardiovascular Medicine 149
  • Biomedical Engineering 44
  • Computer Vision and Pattern Recognition 40
Replace Gonzalo D. Maso Talou with:
Gonzalo D. Maso Talou New Zealand
Toshihiko Nagano Japan
Dominic Kennedy Australia
Maurizio Centonze Italy
Trygve Eftestøl Norway
Catalina Tobon‐Gomez Spain
Madhurima Vardhan United States
Ramtin Gharleghi Australia
Stein Samstad Norway
Chenyang Xu United States
Gonzalo D. Maso Talou New Zealand View profile →
Citations per field, relative to Min Wan
Min Wan · 1×
Citations per year, relative to Min Wan
Min Wan · 1×

Countries citing papers authored by Min Wan

Since Specialization
Citations

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

Fields of papers citing papers by Min Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Min Wan. A scholar is included among the top collaborators of Min Wan 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 Min Wan. Min Wan 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 5
3 4
4 0
5 0
6 5
7 4
8 11
9 2
10 54
11 9
12 4
13 0
14 24
15
Automatic correction of motion artifacts in 4D left ventricle model reconstructed from MRI
2
16 21
17 64
18 7
19 3
20 6

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026