Juwon Song

1.2k citations
20 papers · 665 · h-index 9

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 3
    • Statistical Methods in Clinical Trials 3
    • Advanced Causal Inference Techniques 2
    • Suicide and Self-Harm Studies 2
    • Child and Adolescent Psychosocial and Emotional Development 2

Juwon Song

14 papers receiving 625 citations

Peers

Juwon Song
Comparison fields: 5 of 95
  • Clinical Psychology 293
  • Statistics and Probability 64
  • General Health Professions 172
  • Emergency Medicine 31
  • Infectious Diseases 59
Replace Betsy J. Feldman with:
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Citations per field
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Betsy J. Feldman · 1×
Citations per year

Countries citing papers authored by Juwon Song

Since Specialization
Citations

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

Fields of papers citing papers by Juwon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2003157
2 2000142
3 2000137
4 200598
5 201836
6 200726
7 200621
8 200113
9 200412
10 20067
11 20066
12 20215
13
A Comparison of Imputation Methods for Multiple Response Questions
20141
14
Selection of Variables to Form Imputation Classes in Hotdeck Imputation
20111
15 20151
16 20181
17 20171
18 20230
19 20170
20 20170

About Juwon Song

Juwon Song is a scholar working on Statistics and Probability, Clinical Psychology, Information Systems, Artificial Intelligence and Infectious Diseases, having authored 20 papers that have together received 665 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Statistical Methods in Clinical Trials (3 papers), Advanced Causal Inference Techniques (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), HIV/AIDS Research and Interventions (2 papers), Technology and Data Analysis (2 papers), Suicide and Self-Harm Studies (2 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). The work is most often cited by research in Clinical Psychology (293 citations), Statistics and Probability (64 citations), General Health Professions (172 citations), Emergency Medicine (31 citations) and Infectious Diseases (59 citations). Juwon Song has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Thomas R. Belin, Mary Jane Rotheram‐Borus, John Piacentini, Coleen Cantwell, Marya Gwadz, Martha Lee, Ronan Van Rossem, Cheryl Koopman, Lingqi Tang and Jürgen Unützer. Their work appears in journals such as Journal of Consulting and Clinical Psychology, Statistics in Medicine, Advanced Materials Technologies, Biometrics and Prevention Science.

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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