Yinsheng Qu

2.3k citations
28 papers · 1.8k indexed · 1 hit paper · h-index 17

Yinsheng Qu

28 papers receiving 1.7k citations

Hit Papers

Serum protein fingerprinting coupled with a pattern-match...4772002202620102018100200300400

Peers

Yinsheng Qu
Comparison fields: 5 of 158
  • Statistics and Probability 381
  • Spectroscopy 566
  • Statistics, Probability and Uncertainty 86
  • Molecular Biology 693
  • Biological Psychiatry 24
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
00.5×5.4×
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

The 25 scholars most cited alongside Yinsheng Qu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yinsheng Qu Line = papers co-authored together Yinsheng Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200352
2 2002334
3 200243
4 200013
5 20006
6 199914
7 199918
8 19988
9 199875
10 199638
11 199611
12 199631
13
Latent variable models for clustered ordinal data.
199547
14 199511
15 199537
16 199418
17 199314
18 199217
19 199227
20 19908

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), Statistical Methods and Inference (6 papers), Statistical Distribution Estimation and Applications (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Advanced Statistical Methods and Models (2 papers), Advanced Statistical Process Monitoring (2 papers) and Bipolar Disorder and Treatment (2 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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