Sujin Bae

610 total citations
12 papers, 374 citations indexed

About

Sujin Bae is a scholar working on Human-Computer Interaction, Sociology and Political Science and Marketing. According to data from OpenAlex, Sujin Bae has authored 12 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Human-Computer Interaction, 4 papers in Sociology and Political Science and 4 papers in Marketing. Recurrent topics in Sujin Bae's work include Virtual Reality Applications and Impacts (5 papers), Digital Marketing and Social Media (3 papers) and Diverse Topics in Contemporary Research (3 papers). Sujin Bae is often cited by papers focused on Virtual Reality Applications and Impacts (5 papers), Digital Marketing and Social Media (3 papers) and Diverse Topics in Contemporary Research (3 papers). Sujin Bae collaborates with scholars based in South Korea, United States and United Kingdom. Sujin Bae's co-authors include Ohbyung Kwon, Eunyoung Sung, Dai‐In Danny Han, Timothy Jung, Natasha Moorhouse, Bongsik Shin, Hyeonseok Jeong, Jieun E. Kim and Qiyuan Tang and has published in prestigious journals such as Computers in Human Behavior, Sustainability and International Journal of Information Management.

In The Last Decade

Sujin Bae

9 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujin Bae South Korea 8 180 130 95 91 76 12 374
Asad Hassan Butt China 11 161 0.9× 150 1.2× 122 1.3× 81 0.9× 56 0.7× 22 322
Ari Alamäki Finland 12 144 0.8× 96 0.7× 78 0.8× 72 0.8× 47 0.6× 36 420
Un-Kon Lee South Korea 7 188 1.0× 91 0.7× 151 1.6× 105 1.2× 34 0.4× 18 376
Eleanor E. Cranmer United Kingdom 8 220 1.2× 107 0.8× 77 0.8× 94 1.0× 25 0.3× 13 408
Marc Oliver Opresnik Germany 6 121 0.7× 142 1.1× 53 0.6× 146 1.6× 28 0.4× 13 411
Pascal Kowalczuk Germany 4 233 1.3× 233 1.8× 193 2.0× 102 1.1× 87 1.1× 6 462
Saifeddin Alimamy United Arab Emirates 10 216 1.2× 263 2.0× 150 1.6× 102 1.1× 64 0.8× 18 450
Daniela Langaro Portugal 9 285 1.6× 249 1.9× 114 1.2× 132 1.5× 31 0.4× 16 473
Cheng Yi China 9 224 1.2× 135 1.0× 126 1.3× 73 0.8× 39 0.5× 25 383
Navid Aghakhani United States 7 249 1.4× 77 0.6× 105 1.1× 29 0.3× 78 1.0× 15 435

Countries citing papers authored by Sujin Bae

Since Specialization
Citations

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

Fields of papers citing papers by Sujin Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujin Bae

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

All Works

12 of 12 papers shown
1.
Bae, Sujin, et al.. (2024). Effects of meta-human characteristics on user acceptance: from the perspective of uncanny valley theory. Behaviour and Information Technology. 44(4). 731–748. 5 indexed citations
2.
Jung, Timothy, Sujin Bae, Natasha Moorhouse, & Ohbyung Kwon. (2023). The effects of Experience-Technology Fit (ETF) on consumption behavior: Extended Reality (XR) visitor experience. Information Technology and People. 37(5). 2006–2034. 21 indexed citations
5.
Sung, Eunyoung, Dai‐In Danny Han, Sujin Bae, & Ohbyung Kwon. (2022). What drives technology-enhanced storytelling immersion? The role of digital humans. Computers in Human Behavior. 132. 107246–107246. 53 indexed citations
6.
Jung, Timothy, Sujin Bae, Natasha Moorhouse, & Ohbyung Kwon. (2021). The impact of user perceptions of AR on purchase intention of location-based AR navigation systems. Journal of Retailing and Consumer Services. 61. 102575–102575. 42 indexed citations
7.
Bae, Sujin, Eunyoung Sung, & Ohbyung Kwon. (2021). Accounting for social media effects to improve the accuracy of infection models: combatting the COVID-19 pandemic and infodemic. European Journal of Information Systems. 30(3). 342–355. 29 indexed citations
8.
Sung, Eunyoung, Sujin Bae, Dai‐In Danny Han, & Ohbyung Kwon. (2021). Consumer engagement via interactive artificial intelligence and mixed reality. International Journal of Information Management. 60. 102382–102382. 134 indexed citations
9.
Kwon, Ohbyung, Sujin Bae, & Bongsik Shin. (2020). Understanding the Adoption Intention of AI through the Ethics Lens. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 7 indexed citations
10.
Bae, Sujin, et al.. (2020). The Influence of Mixed Reality on Satisfaction and Brand Loyalty in Cultural Heritage Attractions: A Brand Equity Perspective. Sustainability. 12(7). 2956–2956. 70 indexed citations
12.
Jeong, Hyeonseok, et al.. (2013). Reliability and Validity of the Korean Version of the Lifespan Sibling Relationship Scale. Experimental Neurobiology. 22(4). 330–336. 11 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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