Do-Hyung Park

6.0k total citations · 4 hit papers
88 papers, 4.3k citations indexed

About

Do-Hyung Park is a scholar working on Sociology and Political Science, Information Systems and Management and Marketing. According to data from OpenAlex, Do-Hyung Park has authored 88 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Sociology and Political Science, 29 papers in Information Systems and Management and 25 papers in Marketing. Recurrent topics in Do-Hyung Park's work include Digital Marketing and Social Media (32 papers), Technology Adoption and User Behaviour (29 papers) and Consumer Behavior in Brand Consumption and Identification (12 papers). Do-Hyung Park is often cited by papers focused on Digital Marketing and Social Media (32 papers), Technology Adoption and User Behaviour (29 papers) and Consumer Behavior in Brand Consumption and Identification (12 papers). Do-Hyung Park collaborates with scholars based in South Korea and United States. Do-Hyung Park's co-authors include Jumin Lee, Ingoo Han, Sara Kim, Kee-Young Kwahk, Seung‐pyo Jun, Hyeon Jo, Taeyoung Kang, Sungwook Lee, Young Rag and Yongseon Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Do-Hyung Park

79 papers receiving 4.0k citations

Hit Papers

The Effect of On-Line Consumer Reviews on Consumer Purcha... 2007 2026 2013 2019 2007 2007 2008 2008 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Do-Hyung Park South Korea 18 3.4k 1.9k 1.7k 833 645 88 4.3k
Shintaro Okazaki Spain 40 3.0k 0.9× 2.0k 1.1× 1.7k 1.0× 742 0.9× 424 0.7× 106 4.6k
Choon Ling Sia Hong Kong 23 2.8k 0.8× 1.2k 0.6× 1.9k 1.1× 825 1.0× 896 1.4× 75 4.0k
Judy Chuan‐Chuan Lin Taiwan 19 3.2k 0.9× 1.3k 0.7× 2.9k 1.7× 949 1.1× 913 1.4× 26 4.8k
Sonja Gensler Germany 19 3.1k 0.9× 2.4k 1.3× 1.1k 0.6× 956 1.1× 502 0.8× 47 4.5k
Yongqiang Sun China 34 2.4k 0.7× 1.0k 0.6× 2.0k 1.2× 717 0.9× 705 1.1× 139 4.6k
Marios Koufaris United States 21 3.3k 1.0× 1.7k 0.9× 3.4k 2.0× 1.4k 1.6× 450 0.7× 47 5.4k
Yujong Hwang United States 33 2.3k 0.7× 942 0.5× 2.9k 1.7× 955 1.1× 668 1.0× 95 4.7k
Hsi‐Peng Lu Taiwan 28 2.7k 0.8× 805 0.4× 1.9k 1.1× 592 0.7× 794 1.2× 61 4.2k
Mauricio Featherman United States 19 2.5k 0.7× 1.4k 0.7× 2.5k 1.5× 846 1.0× 318 0.5× 33 4.3k
Andrew J. Rohm United States 27 2.7k 0.8× 1.6k 0.9× 1.5k 0.9× 649 0.8× 418 0.6× 34 3.9k

Countries citing papers authored by Do-Hyung Park

Since Specialization
Citations

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

Fields of papers citing papers by Do-Hyung Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do-Hyung Park. 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 Do-Hyung Park. The network helps show where Do-Hyung Park may publish in the future.

Co-authorship network of co-authors of Do-Hyung Park

This figure shows the co-authorship network connecting the top 25 collaborators of Do-Hyung Park. A scholar is included among the top collaborators of Do-Hyung Park 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 Do-Hyung Park. Do-Hyung Park 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
1.
2.
Park, Do-Hyung, et al.. (2024). The Case Study on Development of Segmentation and Data-driven Persona Based on OTT Service Usage Logs: Focusing on Netflix. Journal of the Korea Academia-Industrial cooperation Society. 25(3). 312–325.
3.
Park, Do-Hyung, et al.. (2021). Are you a Machine or Human?: The Effects of Human-likeness on Consumer Anthropomorphism Depending on Construal Level. Journal of Intelligence and Information Systems. 27(1). 129–149. 2 indexed citations
4.
Park, Do-Hyung, et al.. (2021). UX Methodology Study by Data Analysis: Focusing on deriving persona through customer segment classification. Journal of Intelligence and Information Systems. 27(1). 151–176. 2 indexed citations
6.
Park, Do-Hyung, et al.. (2020). The Effect of Corporate SNS Marketing on User Behavior: Focusing on Facebook Fan Page Analytics. Journal of Intelligence and Information Systems. 26(1). 75–95.
7.
Park, Do-Hyung, et al.. (2019). Implementation Strategy for the Elderly Care Solution Based on Usage Log Analysis: Focusing on the Case of Hyodol Product. Journal of Intelligence and Information Systems. 25(3). 117–140. 3 indexed citations
8.
Lee, Jun‐Sik & Do-Hyung Park. (2019). Development of Customer Sentiment Pattern Map for Webtoon Content Recommendation. Journal of Intelligence and Information Systems. 25(4). 67–88. 1 indexed citations
9.
Park, Do-Hyung, et al.. (2019). Development Process for User Needs-based Chatbot: Focusing on Design Thinking Methodology. Journal of Intelligence and Information Systems. 25(3). 221–238. 2 indexed citations
11.
Park, Do-Hyung, et al.. (2018). The Effect of Mobile Advertising Platform through Big Data Analytics: Focusing on Advertising, and Media Characteristics. Journal of Intelligence and Information Systems. 24(2). 37–57. 3 indexed citations
12.
Park, Do-Hyung, et al.. (2018). Individual Thinking Style leads its Emotional Perception: Development of Web-style Design Evaluation Model and Recommendation Algorithm Depending on Consumer Regulatory Focus. Journal of Intelligence and Information Systems. 24(4). 171–196. 4 indexed citations
13.
Choi, Daeheon, et al.. (2017). Development of Systematic Process for Estimating Commercialization Duration and Cost of R&D Performance. Journal of Intelligence and Information Systems. 23(2). 139–160. 1 indexed citations
16.
Park, Do-Hyung, et al.. (2017). Development of Yóukè Mining System with Yóukè's Travel Demand and Insight Based on Web Search Traffic Information. Journal of Intelligence and Information Systems. 23(3). 155–175. 1 indexed citations
17.
Park, Do-Hyung, et al.. (2009). The Source Diversity Effect of Online Consumer Review: Does It Help or Hurt Your Brand?. Advances in consumer research. 36. 1 indexed citations
18.
Park, Do-Hyung, et al.. (2008). The Multiple Source Effect of Online Consumer Reviews on Brand Evaluations: Test of the Risk Diversification Hypothesis. ACR North American Advances. 35. 744–745. 5 indexed citations
19.
Park, Do-Hyung, et al.. (2007). The Effects of Consumer Knowledge on Message Processing of Electronic Word of Mouth via Online Consumer Reviews. Journal of the Association for Information Systems. 5 indexed citations
20.
Lee, Jumin, Do-Hyung Park, & Ingoo Han. (2006). The Effect of Site Trust on Trust in the Sources of Online Consumer Review and Trust in the Sources of Consumer Endorsement in Advertisement. Journal of the Association for Information Systems. 27. 5 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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