Wang‐Youn Won

1.9k citations
14 papers · 1.3k indexed · 1 hit paper · h-index 7

Wang‐Youn Won

14 papers receiving 1.2k citations

Hit Papers

Development and Validation of a Smartphone Addiction Scal...201320262017202120132505007501000

Peers

Wang‐Youn Won
Comparison fields: 5 of 101
  • Sociology and Political Science 961
  • Education 486
  • Clinical Psychology 223
  • Experimental and Cognitive Psychology 130
  • Applied Psychology 130
Replace Changtae Hahn with:
Changtae Hahn South Korea
Sam‐Wook Choi South Korea
Kadir Demirci Türkiye
Jee Hyun Ha South Korea
Jihye Choi South Korea
Anna Lucia Spear King Brazil
Seung‐Yup Lee South Korea
Soo Churl Cho South Korea
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Doug Hyun Han South Korea
Wang‐Youn Won relative to Changtae Hahn South Korea Changtae Hahn's profile →
Citations per field
00.5×1.5×
Changtae Hahn · 1×
Citations per year

Countries citing papers authored by Wang‐Youn Won

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐Youn Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang‐Youn Won. 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 Wang‐Youn Won. The network helps show where Wang‐Youn Won may publish in the future.

Co-authorship network of co-authors of Wang‐Youn Won

This figure shows the co-authorship network connecting the top 25 collaborators of Wang‐Youn Won. A scholar is included among the top collaborators of Wang‐Youn Won 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 Wang‐Youn Won. Wang‐Youn Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 17
2 5
3
Development and Validation of a Smartphone Addiction Scale (SAS)breakdown →
1144
4 1
5 6
6 1
7 83
8 2
9 8
10 10
11
Agreement between Self-Report on Smoking Cessation and Urinary Cotinine Test
5
12 18
13 4
14 6

About Wang‐Youn Won

Wang‐Youn Won is a scholar working on Physiology, Psychiatry and Mental health and Biochemistry, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (3 papers), Adipose Tissue and Metabolism (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Applied Psychology (130 citations), Sociology and Political Science (961 citations) and Information Systems and Management (126 citations). Wang‐Youn Won has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Dai‐Jin Kim, Changtae Hahn, Jung‐Ah Min, Min Jeong Kwon, Xinyu Gu, Jae‐Woo Park, Jihye Choi, Sujung Yoon, In Kyoon Lyoo and Jieun E. Kim. Their work appears in journals such as PLoS ONE, American Journal of Psychiatry and Alcoholism Clinical and Experimental Research.

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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