Min Yuan

1.4k total citations · 1 hit paper
41 papers, 898 citations indexed

About

Min Yuan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Min Yuan has authored 41 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Biomedical Engineering. Recurrent topics in Min Yuan's work include Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Image Fusion Techniques (4 papers). Min Yuan is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Image Fusion Techniques (4 papers). Min Yuan collaborates with scholars based in China, United States and Hong Kong. Min Yuan's co-authors include Hang Fu, Bing Wu, Yun-Zhi Feng, Jin‐Kui Yang, Juliana C.N. Chan, Xiaojun Xu, Yide Ma, Kun Zhan, Zhuping Huang and Jiankang Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Polymer.

In The Last Decade

Min Yuan

35 papers receiving 873 citations

Hit Papers

Plasma glucose levels and diabetes are independent predic... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Min Yuan
Comparison fields: 5 of 113
  • Infectious Diseases 503
  • Neurology 205
  • Genetics 204
  • Endocrinology, Diabetes and Metabolism 168
  • Epidemiology 120
Replace A Coppelli with:
A Coppelli Italy
Sravanthi Parasa United States
Eun Young Choi South Korea
Qizhi Yu China
Arvinder S. Soin India
Xinglin Chen China
Jun Guo China
Takahiro Fukuhara Japan
Yong Luo China
Jingjing Ren China
A Coppelli Italy View profile →
Citations per field, relative to Min Yuan
Min Yuan · 1×
Citations per year, relative to Min Yuan
Min Yuan · 1×

Countries citing papers authored by Min Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Min Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Min Yuan. A scholar is included among the top collaborators of Min Yuan 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 Yuan. Min Yuan 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 0
2 1
3 0
4 4
5 3
6 3
7 5
8 34
9 21
10 1
11 5
12 36
13 9
14 5
15 9
16 7
17 27
18 3
19
Plasma glucose levels and diabetes are independent predictors for mortality and morbidity in patients with SARS breakdown →
557
20 11

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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