Aiyi Liu

8.2k citations
232 papers · 6.0k indexed · 1 hit paper · h-index 40
Topics
Statistical Methods in Clinical Trials (50 papers)Statistical Methods and Inference (32 papers)Statistical Methods and Bayesian Inference (28 papers)

In The Last Decade

Aiyi Liu

221 papers receiving 5.9k citations

Hit Papers

Optimal Cut-point and Its Corresponding Youden Index to D...20042026201120182004250500750

Peers

Aiyi Liu
Comparison fields: 5 of 183
  • Molecular Biology 1.5k
  • Physiology 820
  • Statistics and Probability 667
  • Genetics 640
  • Public Health, Environmental and Occupational Health 618
Replace David A. Young with:
David A. Young United Kingdom
Nuala A. Sheehan United Kingdom
Εvangelos Εvangelou Greece
John R. Thompson United Kingdom
Paul Downey Ireland
Cosetta Minelli United Kingdom
Samuli Ripatti Finland
Alan J. Wein United States
Martin Landray United Kingdom
Nilanjan Chatterjee United States
Aiyi Liu relative to David A. Young United Kingdom David A. Young's profile →
Citations per field
00.5×1.5×2.3×
David A. Young · 1×
Citations per year

Countries citing papers authored by Aiyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Aiyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiyi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Aiyi Liu. A scholar is included among the top collaborators of Aiyi Liu 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 Aiyi Liu. Aiyi Liu 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
1 1
2 1
3 1
4 6
5 0
6 2
7 18
8 3
9 3
10 31
11 11
12 3
13 21
14 3
15 8
16 49
17 4
18 200
19 11
20
Optimal Cut-point and Its Corresponding Youden Index to Discriminate Individuals Using Pooled Blood Samplesbreakdown →
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About Aiyi Liu

Aiyi Liu is a scholar working on Statistics and Probability, Obstetrics and Gynecology and Statistics, Probability and Uncertainty, having authored 232 papers that have together received 6.0k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (50 papers), Statistical Methods and Inference (32 papers) and Statistical Methods and Bayesian Inference (28 papers). The work is most often cited by research in Statistics and Probability (667 citations), Obstetrics and Gynecology (514 citations) and Endocrine and Autonomic Systems (216 citations). Aiyi Liu has collaborated with scholars based in United States, China and Cameroon. Frequent co-authors include Enrique F. Schisterman, Neil J. Perkins, Howard D. Bondell, Tonja R. Nansel, Albert Vexler, Leah M. Lipsky, Brian W. Whitcomb, Zhen Yan, James L. Mills and Chunling Liu. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

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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