Hyewon Chung

2.3k total citations
107 papers, 1.7k citations indexed

About

Hyewon Chung is a scholar working on Information Systems, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Hyewon Chung has authored 107 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Information Systems, 36 papers in Sociology and Political Science and 22 papers in Social Psychology. Recurrent topics in Hyewon Chung's work include Education and Learning Interventions (34 papers), Psychosocial Factors Impacting Youth (28 papers) and Grit, Self-Efficacy, and Motivation (17 papers). Hyewon Chung is often cited by papers focused on Education and Learning Interventions (34 papers), Psychosocial Factors Impacting Youth (28 papers) and Grit, Self-Efficacy, and Motivation (17 papers). Hyewon Chung collaborates with scholars based in South Korea, United States and Ethiopia. Hyewon Chung's co-authors include Dagmar Amtmann, S. Natasha Beretvas, Robert L. Askew, Karon F. Cook, Jiseon Kim, Jiseon Kim, Alyssa M. Bamer, Jiseon Kim, Kurt Johnson and Tanya L. Eadie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and Advanced Science.

In The Last Decade

Hyewon Chung

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hyewon Chung South Korea 19 285 259 250 207 205 107 1.7k
Li He China 34 512 1.8× 80 0.3× 300 1.2× 150 0.7× 381 1.9× 163 3.6k
J M Linacre United States 11 319 1.1× 82 0.3× 160 0.6× 440 2.1× 129 0.6× 14 2.6k
Stefano Federici Italy 22 183 0.6× 88 0.3× 134 0.5× 417 2.0× 344 1.7× 131 2.3k
Maureen J. Lage United States 30 331 1.2× 293 1.1× 124 0.5× 658 3.2× 126 0.6× 100 4.5k
Gerrit Hirschfeld Germany 30 511 1.8× 49 0.2× 190 0.8× 283 1.4× 287 1.4× 102 2.7k
William Fisher United States 27 205 0.7× 65 0.3× 220 0.9× 254 1.2× 70 0.3× 169 2.7k
Phillip D. Rumrill United States 28 438 1.5× 920 3.6× 366 1.5× 318 1.5× 185 0.9× 256 3.6k
Qiang Fu United States 31 795 2.8× 127 0.5× 475 1.9× 184 0.9× 248 1.2× 106 2.9k
Lori McLeod United States 22 248 0.9× 106 0.4× 90 0.4× 228 1.1× 105 0.5× 77 1.9k
Örjan Dahlström Sweden 27 520 1.8× 188 0.7× 169 0.7× 237 1.1× 815 4.0× 121 3.0k

Countries citing papers authored by Hyewon Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hyewon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyewon Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Hyewon Chung. A scholar is included among the top collaborators of Hyewon Chung 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 Hyewon Chung. Hyewon Chung 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.
Jung, Jungkyo & Hyewon Chung. (2024). Exploring variables explaining elementary school student’s cognitive, social and emotional competencies using random forest. Journal of Curriculum and Evaluation. 27(1). 183–208.
2.
Chung, Hyewon, et al.. (2024). A Study on the Research Trends in Vocational High School using Text Mining: From 2010 to 2023. 62(4). 119–154. 1 indexed citations
3.
Chung, Hyewon, et al.. (2024). Analysis of Research Trends in Process Data using Text Mining. Journal of Curriculum and Evaluation. 27(3). 197–221. 1 indexed citations
7.
Chung, Hyewon, et al.. (2022). Ocular Distribution and Pharmacokinetics of 8-Oxo-2′-Deoxyguanosine: A Novel Therapeutic Candidate of Ocular Surface Diseases. Journal of Ocular Pharmacology and Therapeutics. 38(8). 561–566. 1 indexed citations
8.
Park, So‐Young & Hyewon Chung. (2022). Exploring the major explanatory variables on adolescents’ career maturity and identifying the trajectory of their career maturity. Studies on Korean Youth. 33(2). 87–115. 1 indexed citations
9.
Chung, Hyewon, et al.. (2022). The Analysis of Influencing Factors and Longitudinal Trend in subjective academic achievement: Focusing on affective characteristics. Korean Association For Learner-Centered Curriculum And Instruction. 22(12). 138–154. 1 indexed citations
10.
Chung, Hyewon, Jung-In Kim, Eunjin Jung, & So‐Young Park. (2022). An International Comparison Study Exploring the Influential Variables Affecting Students’ Reading Literacy and Life Satisfaction. SHILAP Revista de lepidopterología. 11(3). 261–292. 2 indexed citations
11.
Chung, Hyewon, et al.. (2020). The Longitudinal Relationship among Reading Activity, Career Maturity, and Self-directed Learning in Adolescents using Multivariate Latent Growth Modeling. SECONDARY EDUCATION RESEARCH. 68(2). 389–412. 1 indexed citations
12.
Chung, Hyewon & So‐Young Park. (2020). Classifying Latent Profiles in Grit and Happiness of Adolescents and Testing the Effects of Individual, Parental, Peer and Teacher Factors. SECONDARY EDUCATION RESEARCH. 68(1). 135–167.
13.
Chung, Hyewon, et al.. (2018). The Impact of Sample Size in Cross-Classified Multiple Membership Multilevel Models. Journal of Modern Applied Statistical Methods. 17(1). 11 indexed citations
14.
Amtmann, Dagmar, Alyssa M. Bamer, Jiseon Kim, Hyewon Chung, & Rana Salem. (2017). People with multiple sclerosis report significantly worse symptoms and health related quality of life than the US general population as measured by PROMIS and NeuroQoL outcome measures. Disability and health journal. 11(1). 99–107. 77 indexed citations
15.
Amtmann, Dagmar, Alyssa M. Bamer, Jiseon Kim, et al.. (2017). A comparison of computerized adaptive testing and fixed-length short forms for the Prosthetic Limb Users Survey of Mobility (PLUS-MTM). Prosthetics and Orthotics International. 42(5). 476–482. 16 indexed citations
16.
Chung, Hyewon, et al.. (2016). Testing the measurement invariance of the University of Washington Self-Efficacy Scale short form across four diagnostic subgroups. Quality of Life Research. 25(10). 2559–2564. 14 indexed citations
17.
Amtmann, Dagmar, Kara McMullen, Jiseon Kim, et al.. (2016). Psychometric Properties of the Modified 5-D Itch Scale in a Burn Model System Sample of People With Burn Injury. Journal of Burn Care & Research. 38(1). e402–e408. 11 indexed citations
18.
Chung, Hyewon, et al.. (2016). Operational condition, needs and activation plan of parent education program in the home daycare center. The Journal of Korea Open Association for Early Childhood Education. 21(2). 29–53.
19.
Kim, Jiseon, et al.. (2013). Symptoms and quality of life indicators among children with chronic medical conditions. Disability and health journal. 7(1). 96–104. 38 indexed citations
20.
Kim, Jiseon, et al.. (2013). A comparison of panel designs with routing methods in the multistage test with the partial credit model. Behavior Research Methods. 45(4). 1087–1098. 6 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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