Soon‐gyo Jung

2.6k total citations · 1 hit paper
94 papers, 1.4k citations indexed

About

Soon‐gyo Jung is a scholar working on Human-Computer Interaction, Marketing and Demography. According to data from OpenAlex, Soon‐gyo Jung has authored 94 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Human-Computer Interaction, 50 papers in Marketing and 19 papers in Demography. Recurrent topics in Soon‐gyo Jung's work include Persona Design and Applications (65 papers), Innovative Human-Technology Interaction (55 papers) and Service and Product Innovation (49 papers). Soon‐gyo Jung is often cited by papers focused on Persona Design and Applications (65 papers), Innovative Human-Technology Interaction (55 papers) and Service and Product Innovation (49 papers). Soon‐gyo Jung collaborates with scholars based in Qatar, Finland and United States. Soon‐gyo Jung's co-authors include Bernard J. Jansen, Joni Salminen, Jisun An, Haewoon Kwak, Ahmed Kamel, Kathleen Guan, Shammur Absar Chowdhury, Sercan Şengün, Lene Nielsen and João M. Santos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Expert Systems with Applications.

In The Last Decade

Soon‐gyo Jung

89 papers receiving 1.3k citations

Hit Papers

Creating and detecting fake reviews of online products 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Creating and detecting fake reviews of online products
    2021 170 citations Joni Salminen, Ahmed Kamel et al. profile →

Peers

Soon‐gyo Jung
Austin L. Toombs United States
Jacki O’Neill India
Chris Hinsch United States
Zhicong Lu Hong Kong
Soussan Djamasbi United States
Norman Makoto Su United States
Scott Mainwaring United States
Vera Khovanskaya United States
Moira McGregor Sweden
Anubhav Mishra India
Austin L. Toombs United States
Soon‐gyo Jung
Citations per year, relative to Soon‐gyo Jung Soon‐gyo Jung (= 1×) peers Austin L. Toombs

Countries citing papers authored by Soon‐gyo Jung

Since Specialization
Citations

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

Fields of papers citing papers by Soon‐gyo Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon‐gyo Jung. 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 Soon‐gyo Jung. The network helps show where Soon‐gyo Jung may publish in the future.

Co-authorship network of co-authors of Soon‐gyo Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Soon‐gyo Jung. A scholar is included among the top collaborators of Soon‐gyo Jung 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 Soon‐gyo Jung. Soon‐gyo Jung 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
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Jansen, Bernard J., Soon‐gyo Jung, & Joni Salminen. (2023). Finetuning Analytics Information Systems for a Better Understanding of Users: Evidence of Personification Bias on Multiple Digital Channels. Information Systems Frontiers. 26(2). 775–798. 2 indexed citations
5.
Jansen, Bernard J., et al.. (2023). Understanding Audiences, Customers, and Users via Analytics. 3 indexed citations
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Salminen, Joni, et al.. (2022). Detecting Pain Points from User-Generated Social Media Posts Using Machine Learning. Journal of Interactive Marketing. 57(3). 517–539. 27 indexed citations
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Salminen, Joni, et al.. (2022). Big Data, Small Personas: How Algorithms Shape the Demographic Representation of Data-Driven User Segments. Big Data. 10(4). 313–336. 6 indexed citations
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Salminen, Joni, et al.. (2022). Who is in the sample? An analysis of real and surrogate users as participants in user study research in the information technology fields. PeerJ Computer Science. 8. e1136–e1136. 3 indexed citations
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Salminen, Joni, et al.. (2022). Persona preparedness: a survey instrument for measuring the organizational readiness for deploying personas. Information Technology and Management. 25(2). 173–198. 4 indexed citations
10.
Jansen, Bernard J., Soon‐gyo Jung, & Joni Salminen. (2022). Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites. PLoS ONE. 17(5). e0268212–e0268212. 18 indexed citations
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Salminen, Joni, Soon‐gyo Jung, & Bernard J. Jansen. (2022). Developing Persona Analytics Towards Persona Science. 323–344. 8 indexed citations
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Jung, Soon‐gyo, Joni Salminen, & Bernard J. Jansen. (2022). Engineers, Aware! Commercial Tools Disagree on Social Media Sentiment: Analyzing the Sentiment Bias of Four Major Tools. Proceedings of the ACM on Human-Computer Interaction. 6(EICS). 1–20. 4 indexed citations
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Nielsen, Lene, Joni Salminen, Soon‐gyo Jung, & Bernard J. Jansen. (2021). Think-Aloud Surveys - A Method for Eliciting Enhanced Insights During User Studies.. International Conference on Human-Computer Interaction. 504–508. 2 indexed citations
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Salminen, Joni, et al.. (2021). Toxic Text in Personas: An Experiment on User Perceptions. Journal of the Association for Information Systems. 13(4). 453–478.
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Jung, Soon‐gyo, Joni Salminen, & Bernard J. Jansen. (2021). Implementing Eye-Tracking for Persona Analytics. 1–4. 3 indexed citations
16.
Chowdhury, Shammur Absar, Hamdy Mubarak, Ahmed Abdelalí, et al.. (2020). A Multi-Platform Arabic News Comment Dataset for Offensive Language Detection. Language Resources and Evaluation. 6203–6212. 25 indexed citations
17.
Mall, Raghvendra, et al.. (2020). Four Types of Toxic People: Characterizing Online Users’ Toxicity over Time. 1–11. 15 indexed citations
18.
Salminen, Joni, Bernard J. Jansen, Jisun An, Haewoon Kwak, & Soon‐gyo Jung. (2018). Are personas done?: Evaluating the usefulness of personas in the age of online analytics. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 4(2). 47. 1 indexed citations
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Jung, Soon‐gyo, Joni Salminen, Haewoon Kwak, Jisun An, & Bernard J. Jansen. (2018). Automatic Persona Generation (APG). Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 321–324. 32 indexed citations
20.
Nielsen, Lene, Soon‐gyo Jung, Jisun An, et al.. (2017). Who are your users?. IT University Of Copenhagen (IT University of Copenhagen). 602–606. 17 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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