Chan Yun Yoo

1.4k total citations
29 papers, 1.0k citations indexed

About

Chan Yun Yoo is a scholar working on Sociology and Political Science, Marketing and Literature and Literary Theory. According to data from OpenAlex, Chan Yun Yoo has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 18 papers in Marketing and 10 papers in Literature and Literary Theory. Recurrent topics in Chan Yun Yoo's work include Digital Marketing and Social Media (17 papers), Consumer Behavior in Brand Consumption and Identification (17 papers) and Media Influence and Health (10 papers). Chan Yun Yoo is often cited by papers focused on Digital Marketing and Social Media (17 papers), Consumer Behavior in Brand Consumption and Identification (17 papers) and Media Influence and Health (10 papers). Chan Yun Yoo collaborates with scholars based in United States and South Korea. Chan Yun Yoo's co-authors include Kihan Kim, Tae Hyun Baek, Patricia A. Stout, Deborah S. Chung, Sukki Yoon, Mark Yi‐Cheon Yim, Yongjun Sung, Eun Sook Kwon, Eunice Kim and Yoon Hi Sung and has published in prestigious journals such as Journal of Advertising, Journal of Interactive Marketing and Communication Theory.

In The Last Decade

Chan Yun Yoo

27 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chan Yun Yoo United States	16	639	514	228	128	114	29	1.0k
Grant Packard Canada	16	705 1.1×	509 1.0×	126 0.6×	114 0.9×	124 1.1×	32	1.1k
D. Varan Australia	19	660 1.0×	532 1.0×	281 1.2×	66 0.5×	54 0.5×	62	1.0k
Jhih-Syuan Lin Taiwan	15	761 1.2×	395 0.8×	241 1.1×	145 1.1×	95 0.8×	27	970
Kihan Kim South Korea	15	473 0.7×	456 0.9×	106 0.5×	115 0.9×	51 0.4×	56	870
James R. Coyle United States	10	946 1.5×	647 1.3×	482 2.1×	172 1.3×	197 1.7×	20	1.4k
Lotte M. Willemsen Netherlands	12	1.1k 1.7×	618 1.2×	323 1.4×	209 1.6×	162 1.4×	21	1.4k
Jeeyun Oh United States	17	657 1.0×	222 0.4×	258 1.1×	142 1.1×	183 1.6×	49	1.2k
Kendall Goodrich United States	11	426 0.7×	341 0.7×	157 0.7×	60 0.5×	60 0.5×	18	628
Ji Hee Song South Korea	13	641 1.0×	436 0.8×	406 1.8×	72 0.6×	108 0.9×	35	959
Zoey Chen United States	11	649 1.0×	396 0.8×	145 0.6×	108 0.8×	65 0.6×	15	875

Countries citing papers authored by Chan Yun Yoo

Since Specialization

Citations

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

Fields of papers citing papers by Chan Yun Yoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Yun Yoo. 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 Chan Yun Yoo. The network helps show where Chan Yun Yoo may publish in the future.

Co-authorship network of co-authors of Chan Yun Yoo

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

All Works

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20 of 20 papers shown

Sung, Yoon Hi, et al.. (2023). She’s my favorite YouTuber, so I watch ads on her channel: The interplay of parasocial interaction and YouTube ad knowledge on voluntary ad-watching. International Journal of Advertising. 43(7). 1195–1217. 2 indexed citations

Sung, Yoon Hi, et al.. (2020). How do self-brand connections affect ad responses among South Korean consumers? The roles of reference groups and message construals. International Journal of Market Research. 63(4). 494–513. 4 indexed citations

Yim, Mark Yi‐Cheon & Chan Yun Yoo. (2020). Are Digital Menus Really Better than Traditional Menus? The Mediating Role of Consumption Visions and Menu Enjoyment. Journal of Interactive Marketing. 50(1). 65–80. 46 indexed citations

Baek, Tae Hyun & Chan Yun Yoo. (2018). Branded App Usability: Conceptualization, Measurement, and Prediction of Consumer Loyalty. Journal of Advertising. 47(1). 70–82. 62 indexed citations

Baek, Tae Hyun, Chan Yun Yoo, & Sukki Yoon. (2016). Augment yourself through virtual mirror: the impact of self-viewing and narcissism on consumer responses. International Journal of Advertising. 37(3). 421–439. 92 indexed citations

Yoo, Chan Yun. (2014). Branding Potentials of Keyword Search Ads: The Effects of Ad Rankings on Brand Recognition and Evaluations. Journal of Advertising. 43(1). 85–99. 30 indexed citations

Yoo, Chan Yun. (2014). Brand Transparency in Social Media: Effects of Message Sidedness and Persuasion Knowledge. 3(2). 5–44. 3 indexed citations

Ivanov, Bobi, Kimberly A. Parker, Jeanetta D. Sims, & Chan Yun Yoo. (2013). The Impact of Message Sequencing in the New Product Introduction Process: Boosting Message Retention and its Impact on Product Attitude. DigitalCommons - Kennesaw State University (Kennesaw State University). 2(2). 2. 2 indexed citations

Yoo, Chan Yun, et al.. (2012). An Empirical Examination of the Associations between Social Tags and Web Queries. Information Research. 17(3). 3 indexed citations

10.

Yoo, Chan Yun. (2012). An Experimental Examination of Factors Affecting Click-Through of Keyword Search Ads. Journal of Current Issues & Research in Advertising. 33(1). 56–78. 9 indexed citations

11.

Yoo, Chan Yun, et al.. (2011). A tool for evaluating advertising concepts: Desirable characteristics as viewed by creative practitioners. Journal of Marketing Communications. 19(2). 81–97. 17 indexed citations

12.

Yoo, Chan Yun. (2011). Modeling Audience Interactivity as the Gratification-Seeking Process in Online Newspapers. Communication Theory. 21(1). 67–89. 65 indexed citations

13.

Yoo, Chan Yun, et al.. (2010). The Obama Effect: Representation and Portrayals of Minority Models in Magazine Advertising.

14.

Yoo, Chan Yun. (2009). Effects beyond click-through: Incidental exposure to web advertising. Journal of Marketing Communications. 15(4). 227–246. 49 indexed citations

15.

Chung, Deborah S. & Chan Yun Yoo. (2008). Audience Motivations for Using Interactive Features: Distinguishing Use of Different Types of Interactivity on an Online Newspaper. Mass Communication & Society. 11(4). 375–397. 76 indexed citations

16.

Yoo, Chan Yun & Patricia A. Stout. (2007). Preattentive Processing of Web Advertising. Texas ScholarWorks (Texas Digital Library). 11 indexed citations

17.

Yoo, Chan Yun. (2007). Implicit Memory Measures for Web Advertising Effectiveness. Journalism & Mass Communication Quarterly. 84(1). 7–23. 23 indexed citations

18.

Chung, Deborah S. & Chan Yun Yoo. (2006). Online User Motivations and Use of Interactive Features on an Online News Site: A Uses and Gratifications Approach. 1–38. 6 indexed citations

19.

Yoo, Chan Yun & Kihan Kim. (2005). Processing of animation in online banner advertising: The roles of cognitive and emotional responses. Journal of Interactive Marketing. 19(4). 18–34. 116 indexed citations

20.

Yoo, Chan Yun, et al.. (2002). An analysis of prediction error for new prime-time television programmes: a comparative study between the USA and Korea. International Journal of Advertising. 21(4). 525–546. 4 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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