Yajuan Si

569 total citations
25 papers, 285 citations indexed

About

Yajuan Si is a scholar working on Statistics and Probability, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Yajuan Si has authored 25 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 10 papers in Sociology and Political Science and 5 papers in General Health Professions. Recurrent topics in Yajuan Si's work include Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Survey Methodology and Nonresponse (6 papers). Yajuan Si is often cited by papers focused on Advanced Causal Inference Techniques (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Survey Methodology and Nonresponse (6 papers). Yajuan Si collaborates with scholars based in United States, Norway and United Kingdom. Yajuan Si's co-authors include Jerome P. Reiter, D. Sunshine Hillygus, Yiting Deng, Peigen Zhou, Edward L. Deci, Diane Early, Juhee Cho, Craig Evan Pollack, Marsha R. Mailick and J. Lawrence Aber and has published in prestigious journals such as Journal of Clinical Oncology, Statistics in Medicine and Journal of Affective Disorders.

In The Last Decade

Yajuan Si

24 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yajuan Si United States 9 132 70 64 39 31 25 285
Felix Wolter Germany 9 102 0.8× 102 1.5× 28 0.4× 19 0.5× 24 0.8× 19 228
Philseok Lee United States 11 54 0.4× 51 0.7× 24 0.4× 28 0.7× 14 0.5× 34 348
Sanne C. Smid Netherlands 5 61 0.5× 37 0.5× 27 0.4× 10 0.3× 15 0.5× 8 224
Gad Nathan Israel 11 293 2.2× 176 2.5× 74 1.2× 36 0.9× 35 1.1× 23 592
Ineke Stoop Netherlands 10 59 0.4× 207 3.0× 17 0.3× 59 1.5× 46 1.5× 21 430
Cathryn S. Dippo United States 4 49 0.4× 161 2.3× 13 0.2× 50 1.3× 29 0.9× 7 327
Darby Miller Steiger United States 5 21 0.2× 164 2.3× 24 0.4× 54 1.4× 38 1.2× 10 313
Steffen Kühnel Germany 9 44 0.3× 104 1.5× 8 0.1× 41 1.1× 18 0.6× 28 369
Geoffrey Woodhouse United Kingdom 9 87 0.7× 101 1.4× 18 0.3× 31 0.8× 14 0.5× 13 529
Robert B. Olsen United States 10 166 1.3× 50 0.7× 9 0.1× 64 1.6× 10 0.3× 25 394

Countries citing papers authored by Yajuan Si

Since Specialization
Citations

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

Fields of papers citing papers by Yajuan Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yajuan Si

This figure shows the co-authorship network connecting the top 25 collaborators of Yajuan Si. A scholar is included among the top collaborators of Yajuan Si 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 Yajuan Si. Yajuan Si 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.
Forthman, Katherine L., Rayus Kuplicki, Wesley K. Thompson, et al.. (2025). Treatment resistant depression: Socio-demographic characteristics, comorbidity and treatment patterns from the All of Us Research Program. Journal of Affective Disorders. 390. 119858–119858.
2.
Si, Yajuan, et al.. (2024). Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study. International Statistical Review. 92(3). 383–405. 2 indexed citations
3.
Si, Yajuan, Gretchen Bandoli, M. Daniele Fallin, et al.. (2024). Advancing high quality longitudinal data collection: Implications for the HEALthy Brain and Child Development (HBCD) Study design and recruitment. Developmental Cognitive Neuroscience. 69. 101432–101432. 4 indexed citations
4.
Si, Yajuan, et al.. (2024). Latent subgroup identification in image-on-scalar regression. The Annals of Applied Statistics. 18(1). 468–486. 1 indexed citations
5.
West, Brady T., et al.. (2024). The role of weighting adjustment for attrition in longitudinal trajectory modeling: a simulation study. Communications in Statistics - Simulation and Computation. 54(3). 866–888. 2 indexed citations
6.
Li, Katherine & Yajuan Si. (2023). Embedded multilevel regression and poststratification: Model‐based inference with incomplete auxiliary information. Statistics in Medicine. 43(2). 256–278. 2 indexed citations
7.
Demidenko, Michael I., et al.. (2023). Individual and Community level Developmental Adversities: Associations with Marijuana and Alcohol Use in Late-Adolescents and Young Adults. Journal of Youth and Adolescence. 53(4). 799–813. 3 indexed citations
8.
Song, Jieun, Barry Radler, Margie E. Lachman, et al.. (2021). Who Returns? Understanding Varieties of Longitudinal Participation in MIDUS. Journal of Aging and Health. 33(10). 896–907. 17 indexed citations
9.
Si, Yajuan, Steve Heeringa, David Read Johnson, et al.. (2021). Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics. Journal of Survey Statistics and Methodology. 11(1). 260–283. 5 indexed citations
10.
Si, Yajuan, Mari Palta, & Maureen A. Smith. (2020). Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records. The Annals of Applied Statistics. 14(4). 1903–1924. 3 indexed citations
11.
Si, Yajuan & Peigen Zhou. (2020). Bayes-Raking: Bayesian Finite Population Inference with Known Margins. Journal of Survey Statistics and Methodology. 9(4). 833–855. 7 indexed citations
12.
Huntley, Edward D., et al.. (2020). Conceptualizing Protective Family Context and its Effect on Substance Use: Comparisons across Diverse Ethnic-Racial Youth. Substance Abuse. 42(4). 796–805. 2 indexed citations
13.
Makela, Susanna, Yajuan Si, & Andrew Gelman. (2017). Graphical Visualization of Polling Results. Oxford University Press eBooks. 1 indexed citations
14.
Schumacher, Jessica R., Heather B. Neuman, Ying Zhang, et al.. (2017). Asymptomatic distant recurrence detection and survival in early stage breast cancer: A nationally representative study.. Journal of Clinical Oncology. 35(15_suppl). 6520–6520. 1 indexed citations
15.
Neuman, Heather B., Jessica R. Schumacher, Amanda B. Francescatti, et al.. (2016). Utility of Clinical Breast Examinations in Detecting Local–Regional Breast Events After Breast-Conservation in Women with a Personal History of High-Risk Breast Cancer. Annals of Surgical Oncology. 23(10). 3385–3391. 4 indexed citations
16.
Si, Yajuan, Jerome P. Reiter, & D. Sunshine Hillygus. (2016). Bayesian latent pattern mixture models for handling attrition in panel studies with refreshment samples. The Annals of Applied Statistics. 10(1). 8 indexed citations
17.
Early, Diane, Juliette Berg, Stacey Alicea, et al.. (2015). The Impact of Every Classroom, Every Day on High School Student Achievement: Results From a School-Randomized Trial. Journal of Research on Educational Effectiveness. 9(1). 3–29. 18 indexed citations
18.
Deng, Yiting, et al.. (2013). Handling Attrition in Longitudinal Studies: The Case for Refreshment Samples. arXiv (Cornell University). 76 indexed citations
19.
Si, Yajuan & Jerome P. Reiter. (2013). Nonparametric Bayesian Multiple Imputation for Incomplete Categorical Variables in Large-Scale Assessment Surveys. Journal of Educational and Behavioral Statistics. 38(5). 499–521. 73 indexed citations
20.
Si, Yajuan & Jerome P. Reiter. (2011). A Comparison of Posterior Simulation and Inference by Combining Rules for Multiple Imputation. Journal of Statistical Theory and Practice. 5(2). 335–347. 9 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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