Jun Won Hwang

554 citations
10 papers · 383 · h-index 6

Impact in

    • Digital Mental Health Interventions
    • Eating Disorders and Behaviors
    • Gambling Behavior and Treatments
    • Sexuality, Behavior, and Technology

Papers in

Jun Won Hwang

10 papers receiving 355 citations

Peers

Jun Won Hwang
Comparison fields: 5 of 59
  • Applied Psychology 75
  • Clinical Psychology 122
  • Sociology and Political Science 224
  • Psychiatry and Mental health 77
  • Education 123
Replace Hesna Gül with:
Hesna Gül Türkiye
Alex Wilde Australia
Valerie L. Gaus United States
Michela Romano Italy
Vega González-Bueso Spain
Suk-Ho Shin South Korea
Jane E. Sanders Canada
Alberto Soto Spain
Carolyn A Watters Canada
Pınar Ünal‐Aydın Bosnia and Herzegovina
Jun Won Hwang relative to Hesna Gül Türkiye Hesna Gül's profile →
Citations per field
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Hesna Gül · 1×
Citations per year

Countries citing papers authored by Jun Won Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Won Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010232
2 201248
3 200631
4 200926
5 201124
6
Development of the Korean Version of the IOWA Conners Rating Scale
20059
7 20184
8 20154
9 20094
10
Treatment of Comorbid Anxiety and Mood Disorder in ADHD.
20121

About Jun Won Hwang

Jun Won Hwang is a scholar working on Clinical Psychology, Psychiatry and Mental health, Sociology and Political Science, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 383 indexed citations. Recurring topics across this work include Attention Deficit Hyperactivity Disorder (2 papers), Autism Spectrum Disorder Research (2 papers), Eating Disorders and Behaviors (2 papers), Suicide and Self-Harm Studies (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Impact of Technology on Adolescents (2 papers), Pharmacological Effects and Toxicity Studies (1 paper) and Homicide, Infanticide, and Child Abuse (1 paper). The work is most often cited by research in Applied Psychology (75 citations), Clinical Psychology (122 citations), Sociology and Political Science (224 citations), Psychiatry and Mental health (77 citations) and Education (123 citations). Jun Won Hwang has collaborated with scholars based in South Korea, Ethiopia and United Kingdom. Frequent co-authors include Perry F. Renshaw, Doug Hyun Han, Soo Churl Cho, Doug Hyun Han, Boong Nyun Kim, Min Sup Shin, Seog Ju Kim, In Kyoon Lyoo, Miyoung Kim and Boong‐Nyun Kim. Their work appears in journals such as Psychology of Popular Media Culture, Epilepsy & Behavior, Korean Journal of Pediatrics, Psychiatric Genetics and Journal of Developmental & Behavioral Pediatrics.

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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