Namhee Yoon

602 total citations
34 papers, 365 citations indexed

About

Namhee Yoon is a scholar working on Marketing, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Namhee Yoon has authored 34 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Marketing, 11 papers in Sociology and Political Science and 6 papers in Information Systems and Management. Recurrent topics in Namhee Yoon's work include Consumer Perception and Purchasing Behavior (13 papers), Digital Marketing and Social Media (11 papers) and Consumer Behavior in Brand Consumption and Identification (10 papers). Namhee Yoon is often cited by papers focused on Consumer Perception and Purchasing Behavior (13 papers), Digital Marketing and Social Media (11 papers) and Consumer Behavior in Brand Consumption and Identification (10 papers). Namhee Yoon collaborates with scholars based in South Korea, United States and Ghana. Namhee Yoon's co-authors include Ho Jung Choo, Hyunsook Kim, Ha Kyung Lee, Heekang Moon, Dooyoung Choi, Eun Young Kim, Mi‐Young Choi, Yoon-Jung Lee, Jiyeon Kim and Eun Young Kim and has published in prestigious journals such as Sustainability, Journal of Consumer Behaviour and Journal of Fashion Marketing and Management.

In The Last Decade

Namhee Yoon

22 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Namhee Yoon South Korea	8	276	129	88	43	43	34	365
Linda Lisa Maria Turunen Finland	9	450 1.6×	248 1.9×	59 0.7×	62 1.4×	28 0.7×	13	595
Bethan Alexander United Kingdom	10	448 1.6×	164 1.3×	136 1.5×	42 1.0×	100 2.3×	21	549
Suha Fouad Salem Malaysia	14	236 0.9×	211 1.6×	70 0.8×	24 0.6×	95 2.2×	20	393
Eunjoo Cho United States	12	338 1.2×	252 2.0×	105 1.2×	39 0.9×	82 1.9×	29	505
Heeju Chae South Korea	10	422 1.5×	286 2.2×	121 1.4×	51 1.2×	106 2.5×	25	555
Sanga Song United States	9	211 0.8×	151 1.2×	40 0.5×	28 0.7×	73 1.7×	18	315
Rémi Mencarelli France	12	328 1.2×	219 1.7×	174 2.0×	53 1.2×	48 1.1×	36	499
Xiaoyong Wei China	8	198 0.7×	100 0.8×	75 0.9×	98 2.3×	24 0.6×	10	339
Weichen Teng Taiwan	7	162 0.6×	229 1.8×	95 1.1×	30 0.7×	74 1.7×	14	345
Jan F. Klein Netherlands	9	357 1.3×	226 1.8×	139 1.6×	38 0.9×	92 2.1×	13	482

Countries citing papers authored by Namhee Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Namhee Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namhee Yoon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yoon, Namhee, et al.. (2025). Utilization of Artificial Intelligence in the Fashion Industry: A Value Chain Approach. The Korean Journal of Community Living Science. 36(1). 27–46.

Kim, Do Yeon, et al.. (2024). Feeling of Being Together in the Metaverse: Positive Influence of Copresence on Subjective Well-being. ODU Digital Commons (Old Dominion University).

Yoon, Namhee, Dooyoung Choi, & Ha Kyung Lee. (2024). Exploring Consumer Participation in Brand Metaverse Communities, Focusing on the Metaverse Features—Fantasy Experiences and Self‐Expansion. Journal of Consumer Behaviour. 24(1). 267–281. 9 indexed citations

Yoon, Namhee & Ha Kyung Lee. (2024). 메타버스 쇼핑 플랫폼의 미디어 풍부성. Journal of the Korean Society of Clothing and Textiles. 48(5). 1024–1038.

Yoon, Namhee, et al.. (2023). How online shopping festival atmosphere promotes consumer participation in China. Fashion and Textiles. 10(1). 10 indexed citations

Yoon, Namhee, et al.. (2023). Fashion Consumption Expenditure During the COVID-19 Pandemic: Comparison by Generation and Income Status. Korean Society for Emotion and Sensibility. 26(1). 3–16.

Yoon, Namhee, et al.. (2023). 지각된 아바타 패션 스타일링 게임 어포던스가 메타버스 인게이지먼트 행동 의도에 미치는 영향. Journal of the Korean Society of Clothing and Textiles. 47(3). 560–576. 2 indexed citations

Lee, Ha Kyung & Namhee Yoon. (2022). Factors driving Fashion Chatbot Reliability : Focusing on the Mediating Effect of Perceived Intelligence and Positive Cognition. Fashion & Textile Research Journal. 24(2). 229–240. 2 indexed citations

Lee, Ha Kyung, Namhee Yoon, & Dooyoung Choi. (2022). The effect of touch simulation in virtual reality shopping. Fashion and Textiles. 9(1). 8 indexed citations

10.

Choo, Ho Jung, et al.. (2021). 패션 온라인 플랫폼의 AI 알고리즘 가격설정에 대한 가격 공정성 지각. Journal of the Korean Society of Clothing and Textiles. 45(5). 892–906. 1 indexed citations

11.

Yoon, Namhee, et al.. (2019). The Effect of Consumers’ Choice Overload and Avoidance of Similarity on Innovativeness and Use Compatibility in Online Recommendation Service. Fashion & Textile Research Journal. 21(2). 141–150. 1 indexed citations

12.

Yoon, Namhee, et al.. (2016). Effects of Consumer Innovativeness on the Evaluation of the Online Fashion Advertisement Sustainability. 19(2). 43–54. 2 indexed citations

13.

Yoon, Namhee & Jiyeon Kim. (2016). The moderating effect of Korean fashion SMEs’ company age andsize on the relationship between management ownership and company financial growth. The Research Journal of the Costume Culture. 24(2). 248–262. 1 indexed citations

14.

Yoon, Namhee & Ho Jung Choo. (2015). The Effect of Mobile Image Exaggeration on Product Attitude. Fashion & Textile Research Journal. 17(3). 392–404. 1 indexed citations

15.

Yoon, Namhee, et al.. (2014). Paradigm Change in the Asian Fashion Industry: In terms of Production, Consumption and Trade. 15(2). 1–12. 1 indexed citations

16.

Kim, Eun Young & Namhee Yoon. (2014). A Dual Path Model of Intention to Use QR Code Virtual Stores -The Moderating Effect of Consumer Use Experience-. Journal of the Korean Society of Clothing and Textiles. 38(6). 913–928. 1 indexed citations

17.

Choo, Ho Jung, Heekang Moon, Hyunsook Kim, & Namhee Yoon. (2012). Luxury customer value. Journal of Fashion Marketing and Management. 16(1). 81–101. 130 indexed citations

18.

Choi, Mi‐Young & Namhee Yoon. (2010). Perceived Motivation of Corporate Social Responsibility to Fashion Brand and Consumer-Brand Relationship Building. Journal of the Korean Home Economics Association. 48(6). 119–132. 4 indexed citations

19.

Yoon, Namhee, et al.. (2009). The Qualitative Study on Consumers' Price Related Response in Clothing Purchase Decision-Making Process. Fashion & Textile Research Journal. 11(4). 537–548. 1 indexed citations

20.

Yoon, Namhee, et al.. (2009). The Role of Perceived Consumer Risk for Purchase and Non-Purchase in the Formation of Positive Impulsive Shopping Emotion. Journal of the Korean Society of Clothing and Textiles. 33(9). 1398–1408. 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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