Jeongwon Yang

914 total citations · 1 hit paper
19 papers, 559 citations indexed

About

Jeongwon Yang is a scholar working on Sociology and Political Science, Communication and Literature and Literary Theory. According to data from OpenAlex, Jeongwon Yang has authored 19 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 8 papers in Communication and 5 papers in Literature and Literary Theory. Recurrent topics in Jeongwon Yang's work include Digital Marketing and Social Media (9 papers), Misinformation and Its Impacts (5 papers) and Media Influence and Health (5 papers). Jeongwon Yang is often cited by papers focused on Digital Marketing and Social Media (9 papers), Misinformation and Its Impacts (5 papers) and Media Influence and Health (5 papers). Jeongwon Yang collaborates with scholars based in United States, South Korea and Thailand. Jeongwon Yang's co-authors include Yu Tian, Yang Cheng, Hua Jiang, T. Makana Chock, Hee Jae Lee, Jaeuk Hwang, Jieun E. Kim, Bin‐Na Kim, Sujung Yoon and Mincheol Shin and has published in prestigious journals such as Computers in Human Behavior, Journal of the Association for Information Systems and Journal of Advertising.

In The Last Decade

Jeongwon Yang

16 papers receiving 533 citations

Hit Papers

AI-powered chatbot communication with customers: Dialogic... 2022 2026 2023 2024 2022 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. AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior
    2022 170 citations Hua Jiang, Yang Cheng et al. Computers in Human Behavior profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongwon Yang United States 10 306 179 117 87 85 19 559
Anders Hauge Wien Norway 13 453 1.5× 99 0.6× 305 2.6× 122 1.4× 56 0.7× 22 710
Yu‐Ting Lin Taiwan 11 213 0.7× 66 0.4× 180 1.5× 57 0.7× 14 0.2× 31 529
Ae Ri Lee South Korea 10 505 1.7× 33 0.2× 83 0.7× 223 2.6× 121 1.4× 33 795
Anjan Pal Singapore 11 215 0.7× 67 0.4× 41 0.4× 28 0.3× 79 0.9× 43 380
Louise F. Spiteri Canada 11 99 0.3× 120 0.7× 32 0.3× 57 0.7× 85 1.0× 43 413
Seong Soo South Korea 8 462 1.5× 122 0.7× 172 1.5× 110 1.3× 29 0.3× 20 709
Brian Britt United States 13 302 1.0× 85 0.5× 134 1.1× 50 0.6× 101 1.2× 42 491
Berna Devezer United States 10 181 0.6× 79 0.4× 145 1.2× 74 0.9× 13 0.2× 18 572
Scott Windeatt Australia 6 180 0.6× 26 0.1× 21 0.2× 43 0.5× 101 1.2× 12 627
Ethan Pancer Canada 10 312 1.0× 77 0.4× 306 2.6× 68 0.8× 72 0.8× 20 628

Countries citing papers authored by Jeongwon Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jeongwon Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongwon Yang

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

All Works

19 of 19 papers shown
1.
2.
Yang, Jeongwon, et al.. (2025). Turning the Tide: Assessing Environmental Influencers’ Effectiveness in Mitigating CSR Skepticism and Fostering Public Engagement. International Journal of Strategic Communication. 1–30.
3.
Shin, Mincheol, et al.. (2024). Virtual Influencers vs. Human Influencers in the Context of Influencer Marketing: The Moderating Role of Machine Heuristic on Perceived Authenticity of Influencers. International Journal of Human-Computer Interaction. 41(10). 6029–6046. 28 indexed citations
4.
Yang, Jeongwon, et al.. (2023). Human versus Virtual Influencer: The Effect of Humanness and Interactivity on Persuasive CSR Messaging. Journal of Interactive Advertising. 23(3). 275–292. 47 indexed citations
5.
Tian, Yu & Jeongwon Yang. (2022). Deny or bolster? A comparative study of crisis communication strategies between Trump and Cuomo in COVID-19. Public Relations Review. 48(2). 102182–102182. 10 indexed citations
6.
7.
Yang, Jeongwon, et al.. (2022). Anthropomorphism in CSR Endorsement: A Comparative Study on Humanlike vs. Cartoonlike Virtual Influencers’ Climate Change Messaging. Journal of Promotion Management. 29(5). 705–734. 52 indexed citations
8.
Jiang, Hua, et al.. (2022). AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior. Computers in Human Behavior. 134. 107329–107329. 170 indexed citations breakdown →
9.
Yang, Jeongwon & Yu Tian. (2021). “Others are more vulnerable to fake news than I Am”: Third-person effect of COVID-19 fake news on social media users. Computers in Human Behavior. 125. 106950–106950. 64 indexed citations
10.
Yang, Jeongwon. (2021). Combating pandemic: an exploration of social media users’ risk information seeking during the COVID-19 outbreak. Journal of Risk Research. 25(10). 1190–1212. 13 indexed citations
11.
Tian, Yu, et al.. (2021). Share or not? Effects of Stereotypes on Social Media Engagement Using the Stereotype Content Model. Journalism Practice. 17(3). 574–600. 4 indexed citations
12.
13.
Yang, Jeongwon & Sunhee Lee. (2020). Framing the MERS information crisis: An analysis on online news media's rumour coverage. Journal of Contingencies and Crisis Management. 28(4). 386–398. 9 indexed citations
14.
Yang, Jeongwon, et al.. (2017). Parallel Swarm Optimization Based Cluster for Emergency Message Dissemination in VANETs. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 9. 77–82.
15.
Yang, Jeongwon & Sun Hee Lee. (2016). Arirang: How did the folk music promote solidarity during a period of colonization and diaspora. Business and Economic Research. 14(15). 10599–10609. 1 indexed citations
16.
Kim, Bin‐Na, et al.. (2016). A Review of Fermented Foods with Beneficial Effects on Brain and Cognitive Function. Preventive Nutrition and Food Science. 21(4). 297–309. 88 indexed citations
17.
Ha, Sung Ho & Jeongwon Yang. (2012). Classification of switching intentions toward internet telephony services: a quantitative analysis. Information Technology and Management. 14(2). 91–104. 5 indexed citations
18.
Yang, Jeongwon & J. P. Shim. (2009). Adoption Factors of Online Knowledge Sharing Service in the Era of Web 2.0. Journal of the Association for Information Systems. 588. 2 indexed citations
19.
Yang, Jeongwon, et al.. (2009). Credit Prediction Based on Kohonen Network and Survival Analysis. Journal of the Korean Operations Research and Management Science Society. 34(2). 35–54. 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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