Annie Qu

4.1k citations
116 papers · 2.6k · h-index 27

Impact in

Papers in

    • Statistical Methods and Inference 50
    • Statistical Methods and Bayesian Inference 33
    • Advanced Statistical Methods and Models 12
    • Advanced Causal Inference Techniques 9
    • Bayesian Methods and Mixture Models 16

Annie Qu

103 papers receiving 2.5k citations

Peers

Annie Qu
Comparison fields: 5 of 162
  • Computational Mathematics 95
  • Statistics and Probability 1.2k
  • Internal Medicine 69
  • Rehabilitation 106
  • Epidemiology 454
Replace A. M. Skene with:
A. M. Skene United Kingdom
Jian Qing Shi United Kingdom
J. Sunil Rao United States
Gideon Mann Israel
Hannu Oja Finland
Wenbin Lu United States
Mohammad M. Ghassemi United States
Si Si China
Daowen Zhang United States
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Annie Qu relative to A. M. Skene United Kingdom A. M. Skene's profile →
Citations per field
00.5×10×15.8×
A. M. Skene · 1×
Citations per year

Countries citing papers authored by Annie Qu

Since Specialization
Citations

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

Fields of papers citing papers by Annie Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Annie 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 Annie Qu Line = papers co-authored together Annie Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000485
2 2000292
3 2005128
4 2011125
5 201069
6 202069
7 201255
8 201452
9 201250
10
Variable selection in high-dimensional varying-coefficient models with global optimality
201249
11 201849
12 200449
13 200648
14 200847
15 200646
16 201546
17 200344
18
Smooth neighborhood recommender systems
201941
19 200940
20
Expecting to Quit: A Best-Practices Review of Smoking Cessation Interventions for Pregnant and Postpartum Girls and Women
201134

About Annie Qu

Annie Qu is a scholar working on Statistics and Probability, Artificial Intelligence, Economics and Econometrics, Molecular Biology and Computer Vision and Pattern Recognition, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (33 papers), Bayesian Methods and Mixture Models (16 papers), Advanced Statistical Methods and Models (12 papers), Advanced Causal Inference Techniques (9 papers), Spatial and Panel Data Analysis (7 papers), Tensor decomposition and applications (6 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Computational Mathematics (95 citations), Statistics and Probability (1.2k citations), Internal Medicine (69 citations), Rehabilitation (106 citations) and Epidemiology (454 citations). Annie Qu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jianhui Zhou, Lan Xue, Lan Wang, Runze Li, Cathy Sila, Lynne E. Lloyd, Judith A. Hinchey, Irene Katzan, Dwain L. Harper and Jeffrey I. Frank. Their work appears in journals such as Journal of the American Statistical Association, Statistica Sinica, Biometrics, Biometrika and Journal of Computational and Graphical Statistics.

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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