Min Yuan

615 total citations
55 papers, 436 citations indexed

About

Min Yuan is a scholar working on Statistics and Probability, Molecular Biology and Genetics. According to data from OpenAlex, Min Yuan has authored 55 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 9 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Min Yuan's work include Statistical Methods and Bayesian Inference (8 papers), Statistical Methods in Clinical Trials (7 papers) and Genetic Associations and Epidemiology (7 papers). Min Yuan is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Statistical Methods in Clinical Trials (7 papers) and Genetic Associations and Epidemiology (7 papers). Min Yuan collaborates with scholars based in China, United States and Hong Kong. Min Yuan's co-authors include Xu Steven Xu, Yaning Yang, Fangbiao Tao, Peihong Liu, Jonathan W.C. Wong, Yanlin Zhang, Partha Nandy, Steven Xu, José Cirı́aco Pinheiro and Jinfeng Xu and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Min Yuan

52 papers receiving 427 citations

Peers

Min Yuan
Comparison fields: 5 of 127
  • Health, Toxicology and Mutagenesis 86
  • Molecular Biology 49
  • Pollution 45
  • Statistics and Probability 41
  • Pulmonary and Respiratory Medicine 35
Replace Xueying Zheng with:
Xueying Zheng China
Hongyun Wang China
Athanassios Petralias Greece
Nan‐Hung Hsieh Taiwan
Bowen Wang China
J. Timm Germany
David A. Dankovic United States
Xiaomei Liao United States
Frédèric Clerc France
Hongkai Li China
Xueying Zheng China 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 1
2 1
3 9
4 6
5 1
6 1
7 1
8 4
9 0
10 91
11 6
12 1
13 14
14 5
15 15
16 13
17
Construction of Stock Market Network Based on Multi-scale Curve and Its Community Mining
2
18
Fitting of scaling curve and financial time series clustering
1
19 4
20 5

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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