Hanbyul Choi

604 total citations · 1 hit paper
12 papers, 395 citations indexed

About

Hanbyul Choi is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Hanbyul Choi has authored 12 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 7 papers in Information Systems and Management and 3 papers in Marketing. Recurrent topics in Hanbyul Choi's work include Technology Adoption and User Behaviour (7 papers), Privacy, Security, and Data Protection (5 papers) and Digital Marketing and Social Media (4 papers). Hanbyul Choi is often cited by papers focused on Technology Adoption and User Behaviour (7 papers), Privacy, Security, and Data Protection (5 papers) and Digital Marketing and Social Media (4 papers). Hanbyul Choi collaborates with scholars based in South Korea, Sudan and United States. Hanbyul Choi's co-authors include Yoonhyuk Jung, Jonghwa Park, Seok‐Beom Choi, Hokey Min, Junghwan Kim, Young Rok Choi, Junghwan Kim and Seong-Cheol Kim and has published in prestigious journals such as Computers in Human Behavior, Technological Forecasting and Social Change and Telematics and Informatics.

In The Last Decade

Hanbyul Choi

11 papers receiving 384 citations

Hit Papers

The role of privacy fatigue in online privacy behavior 2017 2026 2020 2023 2017 50 100 150 200

Peers

Hanbyul Choi
Emmanuel Ayaburi United States
Gregory J. Bott United States
Vilma Todri United States
Pei-yu Chen United States
Darrell Carpenter United States
Jin-Myong Lee South Korea
Emmanuel Ayaburi United States
Hanbyul Choi
Citations per year, relative to Hanbyul Choi Hanbyul Choi (= 1×) peers Emmanuel Ayaburi

Countries citing papers authored by Hanbyul Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hanbyul Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanbyul Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hanbyul Choi. A scholar is included among the top collaborators of Hanbyul Choi 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 Hanbyul Choi. Hanbyul Choi 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.
Jung, Yoonhyuk, et al.. (2024). Deciphering the determinants: What guides creators in choosing their metaverse platforms?. Technological Forecasting and Social Change. 210. 123843–123843. 3 indexed citations
2.
Choi, Hanbyul, et al.. (2024). What Drives Purchase Intention in Live-streaming Commerce in South Korea? Perspectives of IT Affordance and Streamer Characteristics. Asia Pacific Journal of Information Systems. 34(3). 810–836. 1 indexed citations
3.
Choi, Hanbyul, et al.. (2024). Development of a Viewing-Purchase Model for Live Streaming Commerce: A Social Exchange Perspective. International Journal of Human-Computer Interaction. 41(14). 9173–9190. 1 indexed citations
4.
Choi, Hanbyul, Yoonhyuk Jung, & Seong-Cheol Kim. (2022). A Text Mining Analysis of Information Privacy Agenda : Focusing on News Big Data from 1990 to 2021. 23(2). 69–113.
5.
Choi, Hanbyul, Jonghwa Park, Young Rok Choi, & Yoonhyuk Jung. (2022). User Preferences of Privacy-Enhancing Attributes of a Smart Speaker. International Journal of Human-Computer Interaction. 39(18). 3649–3662. 2 indexed citations
6.
Choi, Hanbyul & Yoonhyuk Jung. (2020). Online Users’ Cynical Attitudes towards Privacy Protection : Examining Privacy Cynicism. Asia Pacific Journal of Information Systems. 30(3). 547–567. 1 indexed citations
7.
Choi, Hanbyul, Jonghwa Park, Junghwan Kim, & Yoonhyuk Jung. (2020). Consumer preferences of attributes of mobile payment services in South Korea. Telematics and Informatics. 51. 101397–101397. 50 indexed citations
8.
Park, Jonghwa, Hanbyul Choi, & Yoonhyuk Jung. (2020). Users’ Cognitive and Affective Response to the Risk to Privacy from a Smart Speaker. International Journal of Human-Computer Interaction. 37(8). 759–771. 24 indexed citations
9.
Choi, Hanbyul, et al.. (2019). Understanding of the Fintech Phenomenon in the Beholder’s Eyes in South Korea. Asia Pacific Journal of Information Systems. 29(1). 117–143. 10 indexed citations
10.
Jung, Yoonhyuk, et al.. (2019). Individual Willingness to Share Personal Health Information with Secondary Information Users in South Korea. Health Communication. 35(6). 659–666. 8 indexed citations
11.
Choi, Hanbyul, Jonghwa Park, & Yoonhyuk Jung. (2017). The role of privacy fatigue in online privacy behavior. Computers in Human Behavior. 81. 42–51. 242 indexed citations breakdown →
12.
Choi, Seok‐Beom, et al.. (2016). Assessing the impact of green supply chain practices on firm performance in the Korean manufacturing industry. International Journal of Logistics Research and Applications. 20(2). 129–145. 53 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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