Hye Won Suk

719 total citations
34 papers, 508 citations indexed

About

Hye Won Suk is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Hye Won Suk has authored 34 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 9 papers in Experimental and Cognitive Psychology and 8 papers in Social Psychology. Recurrent topics in Hye Won Suk's work include Psychological Well-being and Life Satisfaction (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Advanced Clustering Algorithms Research (3 papers). Hye Won Suk is often cited by papers focused on Psychological Well-being and Life Satisfaction (3 papers), Child and Adolescent Psychosocial and Emotional Development (3 papers) and Advanced Clustering Algorithms Research (3 papers). Hye Won Suk collaborates with scholars based in South Korea, United States and Canada. Hye Won Suk's co-authors include Heungsun Hwang, Jee Eun Park, Chung Jung Mun, Paul Karoly, Mark P. Jensen, Mary C. Davis, Howard Tennen, Incheol Choi, Eun-Soo Choi and Jinkyung Na and has published in prestigious journals such as PLoS ONE, Psychological Science and Pain.

In The Last Decade

Hye Won Suk

31 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hye Won Suk South Korea 13 128 109 86 80 68 34 508
Min Jhon South Korea 15 261 2.0× 136 1.2× 115 1.3× 121 1.5× 54 0.8× 60 701
Jin-Pyo Hong South Korea 11 197 1.5× 66 0.6× 80 0.9× 99 1.2× 103 1.5× 57 639
Karen Stamm United States 9 84 0.7× 105 1.0× 57 0.7× 116 1.4× 103 1.5× 24 518
C. Hyung Keun Park South Korea 12 208 1.6× 92 0.8× 84 1.0× 73 0.9× 41 0.6× 53 433
Alex Shum Hong Kong 5 92 0.7× 51 0.5× 101 1.2× 56 0.7× 54 0.8× 16 430
Laura Nuño Spain 10 122 1.0× 44 0.4× 51 0.6× 85 1.1× 76 1.1× 29 555
Thomas Svensson Japan 18 104 0.8× 52 0.5× 130 1.5× 57 0.7× 86 1.3× 45 789
Valentina Martinelli Italy 15 127 1.0× 95 0.9× 29 0.3× 67 0.8× 97 1.4× 48 647
Nidal Moukaddam United States 12 304 2.4× 72 0.7× 96 1.1× 51 0.6× 109 1.6× 68 595
Thomas D. Hull United States 13 177 1.4× 173 1.6× 155 1.8× 35 0.4× 45 0.7× 39 573

Countries citing papers authored by Hye Won Suk

Since Specialization
Citations

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

Fields of papers citing papers by Hye Won Suk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye Won Suk. 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 Hye Won Suk. The network helps show where Hye Won Suk may publish in the future.

Co-authorship network of co-authors of Hye Won Suk

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Won Suk. A scholar is included among the top collaborators of Hye Won Suk 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 Hye Won Suk. Hye Won Suk 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.
2.
Shim, Yerin, et al.. (2024). Putting maximization dimensions and well-being in a daily context: The moderating role of choice domains and characteristics. The Journal of Positive Psychology. 20(3). 485–497.
3.
4.
Lim, Jae-A, Je‐Yeon Yun, Soo‐Hee Choi, et al.. (2022). Greater variability in daily sleep efficiency predicts depression and anxiety in young adults: Estimation of depression severity using the two-week sleep quality records of wearable devices. Frontiers in Psychiatry. 13. 1041747–1041747. 7 indexed citations
5.
Choi, Incheol, et al.. (2021). How COVID-19 affected mental well-being: An 11- week trajectories of daily well-being of Koreans amidst COVID-19 by age, gender and region. PLoS ONE. 16(4). e0250252–e0250252. 43 indexed citations
6.
Na, Jinkyung, et al.. (2021). Individualism-collectivism during the COVID-19 pandemic: A field study testing the pathogen stress hypothesis of individualism-collectivism in Korea. Personality and Individual Differences. 183. 111127–111127. 29 indexed citations
7.
Park, Jee Eun, Yu Jin Lee, Min Soo Byun, et al.. (2021). Differential associations of age and Alzheimer's disease with sleep and rest-activity rhythms across the adult lifespan. Neurobiology of Aging. 101. 141–149. 15 indexed citations
8.
Suk, Hye Won, et al.. (2020). Within-person day-of-week effects on affective and evaluative/cognitive well-being among Koreans.. Emotion. 21(5). 1114–1118. 10 indexed citations
9.
Park, Jinsick, Min Soo Byun, Dahyun Yi, et al.. (2020). Decreased Alpha Reactivity from Eyes-Closed to Eyes-Open in Non-Demented Older Adults with Alzheimer’s Disease: A Combined EEG and [18F]florbetaben PET Study. Journal of Alzheimer s Disease. 77(4). 1681–1692. 7 indexed citations
10.
Cho, Maeng Je, Bong‐Jin Hahm, Byung‐Soo Kim, et al.. (2020). Effectiveness of a village-based intervention for depression in community-dwelling older adults: a randomised feasibility study. BMC Geriatrics. 20(1). 89–89. 10 indexed citations
11.
Shim, Kyung Won, et al.. (2019). Differences between One-Person and Multi-Person Households on Socioeconomic Status, Health Behavior, and Metabolic Syndrome Across Gender and Age Groups. Korean Journal of Family Practice. 9(4). 373–382. 9 indexed citations
12.
Park, Jee Eun, Byung‐Soo Kim, Ki Woong Kim, et al.. (2019). Decline in the Incidence of All-Cause and Alzheimer's Disease Dementia: a 12-Year-Later Rural Cohort Study in Korea. Journal of Korean Medical Science. 34(44). e293–e293. 17 indexed citations
13.
Mun, Chung Jung, Mary C. Davis, Ivan Molton, et al.. (2019). Personal resource profiles of individuals with chronic pain: Sociodemographic and pain interference differences.. Rehabilitation Psychology. 64(3). 245–262. 24 indexed citations
14.
Hill, Melanie L., et al.. (2019). Exploring Cannabis-Specific Parenting as a Mechanism of the Intergenerational Transmission of Cannabis Use and Cannabis Use Disorder. Journal of Studies on Alcohol and Drugs. 80(1). 32–41. 10 indexed citations
15.
Suk, Hye Won, et al.. (2018). Nonlinear growth curve modeling using penalized spline models: A gentle introduction.. Psychological Methods. 24(3). 269–290. 18 indexed citations
16.
Park, Jee Eun, Hye Won Suk, Su Jeong Seong, et al.. (2016). Association between personality traits and mental health outcomes in older adults with lifetime trauma exposure: a nationwide community sample. International Psychogeriatrics. 28(9). 1533–1543. 11 indexed citations
17.
Suk, Hye Won & Heungsun Hwang. (2016). Functional Generalized Structured Component Analysis. Psychometrika. 81(4). 940–968. 14 indexed citations
18.
Park, Jee Eun, et al.. (2015). General Similarities but Consistent Differences Between Early- and Late-Onset Depression Among Korean Adults Aged 40 and Older. The Journal of Nervous and Mental Disease. 203(8). 617–625. 5 indexed citations
19.
Park, Jee Eun, Seong‐Jin Cho, Jun‐Young Lee, et al.. (2014). Impact of stigma on use of mental health services by elderly Koreans. Social Psychiatry and Psychiatric Epidemiology. 50(5). 757–766. 38 indexed citations
20.
Suk, Hye Won, et al.. (2013). Functional fuzzy clusterwise regression analysis. Advances in Data Analysis and Classification. 7(1). 57–82. 4 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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