Hong Joo Lee

1.6k total citations
60 papers, 960 citations indexed

About

Hong Joo Lee is a scholar working on Sociology and Political Science, Information Systems and Management and Information Systems. According to data from OpenAlex, Hong Joo Lee has authored 60 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Sociology and Political Science, 24 papers in Information Systems and Management and 11 papers in Information Systems. Recurrent topics in Hong Joo Lee's work include Technology Adoption and User Behaviour (23 papers), Digital Marketing and Social Media (22 papers) and Customer Service Quality and Loyalty (8 papers). Hong Joo Lee is often cited by papers focused on Technology Adoption and User Behaviour (23 papers), Digital Marketing and Social Media (22 papers) and Customer Service Quality and Loyalty (8 papers). Hong Joo Lee collaborates with scholars based in South Korea, United States and Philippines. Hong Joo Lee's co-authors include Sung Joo Park, Jaewon Choi, Yongcheol Kim, Hyung Jun Ahn, Jong Woo Kim, Joon Yeon Choeh, Mingxuan Cai, Richard Evans, Wei Zhang and Chengyan Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Technological Forecasting and Social Change.

In The Last Decade

Hong Joo Lee

53 papers receiving 869 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Joo Lee South Korea 12 358 311 223 180 142 60 960
Amela Karahasanović Norway 14 654 1.8× 324 1.0× 147 0.7× 215 1.2× 188 1.3× 34 1.3k
Efpraxia D. Zamani United Kingdom 19 283 0.8× 332 1.1× 196 0.9× 96 0.5× 160 1.1× 61 1.2k
Michele Gorgoglione Italy 16 561 1.6× 196 0.6× 101 0.5× 218 1.2× 225 1.6× 38 1.1k
Ozgur Turetken Canada 18 269 0.8× 258 0.8× 172 0.8× 202 1.1× 74 0.5× 50 935
Stuart Charters New Zealand 11 419 1.2× 216 0.7× 344 1.5× 177 1.0× 65 0.5× 36 1.0k
Soe‐Tsyr Yuan Taiwan 14 169 0.5× 212 0.7× 126 0.6× 111 0.6× 204 1.4× 67 654
Chen Zhang China 18 466 1.3× 195 0.6× 106 0.5× 328 1.8× 78 0.5× 105 1.5k
Katarina Stanoevska‐Slabeva Switzerland 18 336 0.9× 260 0.8× 168 0.8× 139 0.8× 101 0.7× 96 938
Peter Tarasewich United States 15 167 0.5× 189 0.6× 255 1.1× 76 0.4× 83 0.6× 38 999
Jungpil Hahn Singapore 18 295 0.8× 248 0.8× 206 0.9× 152 0.8× 146 1.0× 67 1.4k

Countries citing papers authored by Hong Joo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hong Joo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Joo Lee. 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 Hong Joo Lee. The network helps show where Hong Joo Lee may publish in the future.

Co-authorship network of co-authors of Hong Joo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Joo Lee. A scholar is included among the top collaborators of Hong Joo Lee 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 Hong Joo Lee. Hong Joo Lee 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.
Lee, Hong Joo, et al.. (2025). Unravelling the Effects of Privacy Policies on Information Disclosure: Insights from E-Commerce Consumer Behavior. Journal of theoretical and applied electronic commerce research. 20(1). 49–49. 1 indexed citations
3.
Lee, Hong Joo, et al.. (2021). Mining service quality feedback from social media: A computational analytics method. Government Information Quarterly. 38(2). 101571–101571. 25 indexed citations
4.
Lee, Hong Joo, et al.. (2019). Selective Word Embedding for Sentence Classification by Considering Information Gain and Word Similarity. Journal of Intelligence and Information Systems. 25(4). 105–122. 1 indexed citations
5.
Lee, Hong Joo. (2018). A Ghost in the Shell? Influences of AI Features on Product Evaluations of Smart Speakers with Customer Reviews. Journal of the Korea society of IT services. 17(2). 191–205. 3 indexed citations
6.
Lee, Minsik & Hong Joo Lee. (2017). Stock Price Prediction by Utilizing Category Neutral Terms: Text Mining Approach. Journal of Intelligence and Information Systems. 23(2). 123–138.
7.
Choi, Jaewon, et al.. (2017). Examining the effects of personalized App recommender systems on purchase intention: A self and social-interaction perspective. Journal of electronic commerce research. 18(1). 73–102. 29 indexed citations
8.
Choi, Jaewon, et al.. (2013). The influence of national culture on the attitude towards mobile recommender systems. Technological Forecasting and Social Change. 86. 65–79. 60 indexed citations
9.
Lee, Hong Joo, et al.. (2013). Influences of Transparency and Feedback on Customer Intention to Reuse Online Recommender Systems. 18(2). 279–299. 3 indexed citations
10.
Kim, Jong Woo, et al.. (2012). Real-Time Purchase Probability Prediction Using Clickstream Data of Internet Storefronts. 11(1). 101–110. 1 indexed citations
11.
Lee, Hong Joo. (2012). A study on business opportunity for small smart devices in finance. Mathematical and Computer Modelling. 58(1-2). 172–177. 2 indexed citations
12.
13.
Choi, Jaewon & Hong Joo Lee. (2011). The Effects of Customer Product Review on Social Presence in Personalized Recommender Systems. Journal of Intelligence and Information Systems. 17(3). 115–130. 2 indexed citations
14.
Lee, Hong Joo, et al.. (2011). The Role of Transparency and Feedback on the Behavioral Intention to Reuse a Recommender System. Journal of the Association for Information Systems. 278–286. 2 indexed citations
15.
Choi, Jaewon, et al.. (2010). The Impact of Multi‐dimensional Trust for Customer Satisfaction. 16(2). 81–97. 6 indexed citations
16.
Lee, Hong Joo, et al.. (2010). Comparative Research on Mobile Value Chains among China, Japan, and Korea. The e-Business Studies. 15(3). 147–162. 2 indexed citations
17.
Choi, Jaewon, et al.. (2008). The Influence of Social Presence on Evaluating Personalized Recommender Systems. Journal of the Association for Information Systems. 410–414. 5 indexed citations
18.
Choeh, Joon Yeon & Hong Joo Lee. (2008). Mobile push personalization and user experience. AI Communications. 21(2-3). 185–193. 10 indexed citations
19.
Kim, Sangkyun, et al.. (2005). An evaluation methodology of enterprise security management systems. 11(4). 303–312. 6 indexed citations
20.
Kim, Jong Woo & Hong Joo Lee. (2005). Data Sparsity and Performance in Collaborative Filtering-based Recommendation. 11(3). 19–45. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026