Annie Qu

4.0k total citations
113 papers, 2.6k citations indexed

About

Annie Qu is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Annie Qu has authored 113 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 32 papers in Artificial Intelligence and 9 papers in Molecular Biology. Recurrent topics in Annie Qu's work include Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (33 papers) and Bayesian Methods and Mixture Models (16 papers). Annie Qu is often cited by papers focused on Statistical Methods and Inference (50 papers), Statistical Methods and Bayesian Inference (33 papers) and Bayesian Methods and Mixture Models (16 papers). Annie Qu collaborates with scholars based in United States, China and Canada. Annie Qu's co-authors include Jianhui Zhou, Lan Xue, Lan Wang, Runze Li, Jeffrey I. Frank, Lynne E. Lloyd, Anthony J. Furlan, Jeffrey Hammel, Cathy Sila and Irene Katzan and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Annie Qu

100 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Annie Qu United States 26 1.2k 491 465 218 207 113 2.6k
Cristian Preda France 19 378 0.3× 359 0.7× 374 0.8× 117 0.5× 124 0.6× 59 1.5k
John Whitehead United Kingdom 33 2.7k 2.2× 365 0.7× 158 0.3× 379 1.7× 68 0.3× 147 4.8k
Jian Qing Shi China 19 256 0.2× 187 0.4× 233 0.5× 54 0.2× 54 0.3× 81 1.4k
Juha Karvanen Finland 25 167 0.1× 159 0.3× 125 0.3× 121 0.6× 67 0.3× 81 1.5k
Roger Logan United States 23 791 0.7× 189 0.4× 211 0.5× 120 0.6× 5 0.0× 70 2.9k
Javier Cabrera United States 21 178 0.1× 186 0.4× 208 0.4× 59 0.3× 60 0.3× 80 1.7k
Qi Long United States 31 411 0.3× 207 0.4× 305 0.7× 668 3.1× 11 0.1× 191 3.3k
Yi‐Hau Chen Taiwan 28 777 0.6× 103 0.2× 188 0.4× 439 2.0× 15 0.1× 157 2.4k
Vida Abedi United States 25 25 0.0× 617 1.3× 239 0.5× 295 1.4× 151 0.7× 111 2.3k
A. M. Skene United Kingdom 17 244 0.2× 243 0.5× 837 1.8× 62 0.3× 16 0.1× 29 2.2k

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-authorship network of co-authors of Annie Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Annie Qu. A scholar is included among the top collaborators of Annie 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 Annie Qu. Annie 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
1.
He, Kevin, et al.. (2025). Neural Network for Correlated Survival Outcomes Using Frailty Model. Journal of Data Science. 23(4). 624–637.
2.
3.
Clemens, Kristin K., Amanda Teeple, Benoît Rive, et al.. (2024). Cost Efficiency of Esketamine Nasal Spray Versus Quetiapine for Treatment Resistant Depression. CNS Spectrums. 29(5). 526–527. 1 indexed citations
4.
He, Kevin, Di Wang, Shujie Ma, et al.. (2024). Health Care Provider Clustering Using Fusion Penalty in Quasi‐Likelihood. Biometrical Journal. 66(6). e202300185–e202300185. 1 indexed citations
5.
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Liu, Lili, Kevin He, Di Wang, et al.. (2023). Healthcare center clustering for Cox's proportional hazards model by fusion penalty. Statistics in Medicine. 42(20). 3685–3698. 3 indexed citations
7.
Guo, Yuqing, Qi Xu, Priscilla Kehoe, & Annie Qu. (2023). 0882 The Longitudinal Relationship between Objective Sleep and Cardiovascular Parameters During Pregnancy. SLEEP. 46(Supplement_1). A388–A388.
8.
Zhang, Mengli, et al.. (2022). Partially Functional Linear Quantile Regression With Measurement Errors. Statistica Sinica. 33(3). 2257–2280. 2 indexed citations
9.
Xue, Fei & Annie Qu. (2020). Integrating Multisource Block-Wise Missing Data in Model Selection. Journal of the American Statistical Association. 116(536). 1914–1927. 29 indexed citations
10.
Yuan, Yubai, Yujia Deng, Yanqing Zhang, & Annie Qu. (2020). Deep learning from a statistical perspective. Stat. 9(1). 9 indexed citations
11.
Wani, Agaz H., Allison E. Aiello, Grace S. Kim, et al.. (2020). The impact of psychopathology, social adversity and stress-relevant DNA methylation on prospective risk for post-traumatic stress: A machine learning approach. Journal of Affective Disorders. 282. 894–905. 19 indexed citations
12.
Wang, Junhui, et al.. (2019). Smooth neighborhood recommender systems. Journal of Machine Learning Research. 20(16). 1–24. 41 indexed citations
13.
Jensen, Tor, Tania Ray, Jinhua Wang, et al.. (2015). Diagnosis of Basal-Like Breast Cancer Using a FOXC1-Based Assay. JNCI Journal of the National Cancer Institute. 107(8). 46 indexed citations
14.
Peng, Wang, et al.. (2012). Conditional Inference Functions for Mixed-Effects Models With Unspecified Random-Effects Distribution. Journal of the American Statistical Association. 107(498). 725–736. 24 indexed citations
15.
Xue, Lan & Annie Qu. (2012). Variable selection in high-dimensional varying-coefficient models with global optimality. Journal of Machine Learning Research. 13(1). 1973–1998. 49 indexed citations
16.
Greaves, Lorraine, Nancy Poole, Chizimuzo T.C. Okoli, et al.. (2011). Expecting to Quit: A Best-Practices Review of Smoking Cessation Interventions for Pregnant and Postpartum Girls and Women. UKnowledge (University of Kentucky). 33 indexed citations
17.
Song, Peter X.‐K., et al.. (2007). MAXIMUM LIKELIHOOD INFERENCE IN ROBUST LINEAR MIXED-EFFECTS MODELS USING MULTIVARIATE t DISTRIBUTIONS. Statistica Sinica. 17(3). 929–943. 32 indexed citations
18.
Stokes, María, Charles B. Davis, Gilbert Koch, et al.. (2006). Survival Analysis: A Self‐Learning Text by D.G. Kleinbaum and M. Klein. Biometrics. 62(1). 312–312.
19.
Serdani, Maryna, et al.. (2006). Evaluation of the USDA National Clonal Pyrus Germplasm Collection for Resistance to Podosphaera leucotricha. HortScience. 41(3). 717–720. 3 indexed citations
20.
Haug, M., et al.. (2001). Enhanced cyclosporine–itraconazole interaction with cola in lung transplant recipients. Clinical Transplantation. 15(2). 116–122. 13 indexed citations

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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