Young June Sah

751 total citations
28 papers, 511 citations indexed

About

Young June Sah is a scholar working on Human-Computer Interaction, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Young June Sah has authored 28 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Human-Computer Interaction, 9 papers in Sociology and Political Science and 8 papers in Social Psychology. Recurrent topics in Young June Sah's work include Media Influence and Health (8 papers), Virtual Reality Applications and Impacts (8 papers) and Behavioral Health and Interventions (5 papers). Young June Sah is often cited by papers focused on Media Influence and Health (8 papers), Virtual Reality Applications and Impacts (8 papers) and Behavioral Health and Interventions (5 papers). Young June Sah collaborates with scholars based in South Korea, United States and Singapore. Young June Sah's co-authors include Rabindra Ratan, Wei Peng, Sangwon Lee, R. V. Rikard, Shelia R. Cotten, Travis Kadylak, Jessica Francis, Issidoros Sarinopoulos, Hsin-yi Sandy Tsai and Daeho Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Young June Sah

26 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young June Sah South Korea 11 186 184 171 164 81 28 511
Sohye Lim South Korea 8 228 1.2× 54 0.3× 110 0.6× 97 0.6× 109 1.3× 18 436
Mincheol Shin Netherlands 8 170 0.9× 112 0.6× 106 0.6× 80 0.5× 51 0.6× 17 386
Su-Mae Tan Malaysia 14 208 1.1× 223 1.2× 124 0.7× 86 0.5× 26 0.3× 33 559
Janet Walker United States 8 150 0.8× 103 0.6× 167 1.0× 66 0.4× 26 0.3× 18 468
Arianna Boldi Italy 8 149 0.8× 314 1.7× 116 0.7× 63 0.4× 17 0.2× 16 512
Minjin Rheu United States 10 78 0.4× 193 1.0× 143 0.8× 69 0.4× 19 0.2× 17 440
John Morkes United States 6 107 0.6× 125 0.7× 181 1.1× 95 0.6× 34 0.4× 8 410
Kevin Hutchinson United States 7 105 0.6× 173 0.9× 233 1.4× 56 0.3× 37 0.5× 13 466
Rory McGloin United States 12 248 1.3× 26 0.1× 129 0.8× 120 0.7× 122 1.5× 38 512
Steven Malliet Belgium 11 267 1.4× 57 0.3× 109 0.6× 67 0.4× 87 1.1× 29 442

Countries citing papers authored by Young June Sah

Since Specialization
Citations

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

Fields of papers citing papers by Young June Sah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young June Sah. 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 Young June Sah. The network helps show where Young June Sah may publish in the future.

Co-authorship network of co-authors of Young June Sah

This figure shows the co-authorship network connecting the top 25 collaborators of Young June Sah. A scholar is included among the top collaborators of Young June Sah 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 Young June Sah. Young June Sah 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.
Wohn, Donghee Yvette, et al.. (2025). The Metaverse as a Concert Destination: A Technology Acceptance Model Approach to Investigate Viewer Intentions. International Journal of Human-Computer Interaction. 42(1). 613–625.
2.
Park, Inyoung, Young June Sah, Suhyun Lee, & Daeho Lee. (2022). Avatar-Mediated Communication in Video Conferencing: Effect of Self-Affirmation on Debating Participation Focusing on Moderation Effect of Avatar. International Journal of Human-Computer Interaction. 39(3). 464–475. 16 indexed citations
3.
Park, Inyoung, Daeho Lee, & Young June Sah. (2022). Under watching eyes in news comment sections: effects of audience cue on self-awareness and commenting behaviour. Behaviour and Information Technology. 42(13). 2279–2295. 4 indexed citations
4.
Sah, Young June, et al.. (2022). Cultural Differences in Digital Game Experiences. International Journal of Gaming and Computer-Mediated Simulations. 14(1). 1–15. 2 indexed citations
5.
Sah, Young June & Wei Peng. (2022). Context-dependent Online Social Influence: Effect of Majority and Minority Comments on Posters and Lurkers. Social Science Computer Review. 41(4). 1316–1335. 2 indexed citations
6.
7.
Sah, Young June, Minjin Rheu, & Rabindra Ratan. (2021). Avatar-User Bond as Meta-Cognitive Experience: Explicating Identification and Embodiment as Cognitive Fluency. Frontiers in Psychology. 12. 695358–695358. 10 indexed citations
8.
Sah, Young June, et al.. (2021). Effects of visual and auditory cues on haptic illusions for active and passive touches in mixed reality. International Journal of Human-Computer Studies. 150. 102613–102613. 12 indexed citations
9.
Ha, Taehyun, et al.. (2020). Examining the effects of power status of an explainable artificial intelligence system on users’ perceptions. Behaviour and Information Technology. 41(5). 946–958. 13 indexed citations
10.
Sah, Young June, et al.. (2020). Distributing Computing Devices in Classrooms: Hedonic and Utilitarian Influences on Science and Technology Attitudes. American Behavioral Scientist. 64(7). 973–993. 4 indexed citations
11.
Sah, Young June & Wei Peng. (2019). How Does Interactivity in a Video Game Render People Susceptible? A Mediating Role of Concrete-level Action Identity in Immersive Media. Cyberpsychology Journal of Psychosocial Research on Cyberspace. 13(4). 3 indexed citations
12.
Lee, Sangwon, et al.. (2019). Perceiving a Mind in a Chatbot: Effect of Mind Perception and Social Cues on Co-presence, Closeness, and Intention to Use. International Journal of Human-Computer Interaction. 36(10). 930–940. 131 indexed citations
13.
Lee, Sang-Won & Young June Sah. (2019). Development of an Approach to Measuring Learnability Based on NGOMSL from Perspectives of Extended Learnability. International Journal of Human-Computer Interaction. 36(2). 199–209. 2 indexed citations
14.
Sah, Young June. (2019). Talking to a pedagogical agent in a smart TV: modality matching effect in human-TV interaction. Behaviour and Information Technology. 40(3). 240–250. 6 indexed citations
15.
16.
Sah, Young June, Rabindra Ratan, Hsin-yi Sandy Tsai, Wei Peng, & Issidoros Sarinopoulos. (2016). Are You What Your Avatar Eats? Health-Behavior Effects of Avatar-Manifested Self-Concept. Media Psychology. 20(4). 632–657. 34 indexed citations
17.
Ratan, Rabindra & Young June Sah. (2015). Leveling up on stereotype threat: The role of avatar customization and avatar embodiment. Computers in Human Behavior. 50. 367–374. 91 indexed citations
18.
Sah, Young June & Wei Peng. (2015). Effects of visual and linguistic anthropomorphic cues on social perception, self-awareness, and information disclosure in a health website. Computers in Human Behavior. 45. 392–401. 79 indexed citations
19.
Sah, Young June, et al.. (2009). Measurement of the Economic Benefits of Tourism Program for Suwon Hwaseong. 25(2). 23–46. 1 indexed citations
20.
Sah, Young June, et al.. (2008). A new content-related advertising model for interactive television. 1–9. 3 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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