Yinsheng Qu

2.3k citations
28 papers · 1.8k indexed · 1 hit paper · h-index 17
Topics
Statistical Methods and Bayesian Inference (11 papers)Bayesian Methods and Mixture Models (8 papers)Statistical Methods and Inference (6 papers)

In The Last Decade

Yinsheng Qu

28 papers receiving 1.7k citations

Hit Papers

Serum protein fingerprinting coupled with a pattern-match...20022026201020182002100200300400

Peers

Yinsheng Qu
Comparison fields: 5 of 158
  • Molecular Biology 693
  • Spectroscopy 566
  • Statistics and Probability 381
  • Artificial Intelligence 173
  • Epidemiology 130
Replace Sijian Wang with:
Sijian Wang United States
Roger Higdon United States
Viswanath Devanarayan United States
Andrew C. Hooker Sweden
Luc Bijnens Belgium
Debashis Ghosh United States
S. Stanley Young United States
Bill C. White United States
Jessica Minnier United States
Anat Reiner‐Benaim Israel
Yinsheng Qu relative to Sijian Wang United States Sijian Wang's profile →
Citations per field
00.5×4.5×
Sijian Wang · 1×
Citations per year

Countries citing papers authored by Yinsheng Qu

Since Specialization
Citations

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

Fields of papers citing papers by Yinsheng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinsheng Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Yinsheng Qu. A scholar is included among the top collaborators of Yinsheng Qu 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 Yinsheng Qu. Yinsheng Qu 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 52
2 334
3 43
4 13
5 6
6 14
7 18
8 8
9 75
10 38
11 11
12 31
13
Latent variable models for clustered ordinal data.
47
14 11
15 37
16 18
17 14
18 17
19 27
20 8

About Yinsheng Qu

Yinsheng Qu is a scholar working on Statistics and Probability, Biological Psychiatry and Statistics, Probability and Uncertainty, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (11 papers), Bayesian Methods and Mixture Models (8 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (381 citations), Spectroscopy (566 citations) and Statistics, Probability and Uncertainty (86 citations). Yinsheng Qu has collaborated with scholars based in United States, China and South Africa. Frequent co-authors include Ming Tan, Michael Kutner, Ziding Feng, Lisa H. Cazares, Yutaka Yasui, Michael D. Ward, O. John Semmes, Alula Hadgu, John W. Davis and Mark Clements. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Anesthesiology.

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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