Daeho Lee

3.0k total citations
109 papers, 2.2k citations indexed

About

Daeho Lee is a scholar working on Economics and Econometrics, Strategy and Management and Sociology and Political Science. According to data from OpenAlex, Daeho Lee has authored 109 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Economics and Econometrics, 26 papers in Strategy and Management and 26 papers in Sociology and Political Science. Recurrent topics in Daeho Lee's work include Technology Adoption and User Behaviour (21 papers), Firm Innovation and Growth (21 papers) and Digital Platforms and Economics (19 papers). Daeho Lee is often cited by papers focused on Technology Adoption and User Behaviour (21 papers), Firm Innovation and Growth (21 papers) and Digital Platforms and Economics (19 papers). Daeho Lee collaborates with scholars based in South Korea, United States and Singapore. Daeho Lee's co-authors include Yuri Park, Jungwoo Shin, Junseok Hwang, Changjun Lee, Hongbum Kim, Youngsang Cho, Min Ho Ryu, Inyoung Park, Sangwon Lee and Taehyun Ha and has published in prestigious journals such as Computers in Human Behavior, International Journal of Environmental Research and Public Health and Technological Forecasting and Social Change.

In The Last Decade

Daeho Lee

102 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daeho Lee South Korea 24 686 573 480 344 308 109 2.2k
Henner Gimpel Germany 20 603 0.9× 416 0.7× 223 0.5× 151 0.4× 172 0.6× 109 1.9k
Pedro R. Palos‐Sánchez Spain 28 913 1.3× 476 0.8× 479 1.0× 184 0.5× 220 0.7× 101 2.4k
Xiaotong Li China 29 1.3k 1.9× 1.1k 2.0× 972 2.0× 221 0.6× 416 1.4× 91 3.2k
Ioanna Constantiou Denmark 20 768 1.1× 350 0.6× 541 1.1× 157 0.5× 438 1.4× 70 2.0k
Zheng Fang China 24 1.1k 1.6× 1.2k 2.1× 487 1.0× 626 1.8× 317 1.0× 99 3.3k
Seongcheol Kim South Korea 25 810 1.2× 537 0.9× 644 1.3× 131 0.4× 341 1.1× 107 2.2k
Shahrokh Nikou Finland 26 652 1.0× 398 0.7× 593 1.2× 303 0.9× 668 2.2× 98 2.8k
June Wei United States 22 1.2k 1.7× 670 1.2× 1.1k 2.4× 138 0.4× 183 0.6× 86 2.2k
Anuj Sharma India 24 452 0.7× 408 0.7× 233 0.5× 149 0.4× 289 0.9× 91 2.0k
Liu De United States 19 846 1.2× 513 0.9× 479 1.0× 315 0.9× 183 0.6× 118 2.1k

Countries citing papers authored by Daeho Lee

Since Specialization
Citations

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

Fields of papers citing papers by Daeho Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daeho Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Daeho Lee. A scholar is included among the top collaborators of Daeho 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 Daeho Lee. Daeho 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, Daeho, et al.. (2025). From icons to identity: Understanding graphicons as tools for self-representation. Computers in Human Behavior. 172. 108753–108753.
2.
Hwang, Jiwon, et al.. (2025). Impact of Generative Artificial Intelligence on Learning: Scaffolding Strategies and Self-Directed Learning Perspectives. International Journal of Human-Computer Interaction. 42(5). 2965–2987. 1 indexed citations
3.
Kim, Jaeyun, Daeho Lee, & Yuri Park. (2025). Exploring the Impact of COVID-19 on Job Satisfaction Trends: A Text Mining Analysis of Employee Reviews Using the DMR Topic Model. Applied Sciences. 15(6). 2912–2912. 1 indexed citations
4.
Lee, C., et al.. (2024). Safety still matters: Unveiling the value propositions of augmented reality head-up displays in autonomous vehicles through conjoint analysis. Travel Behaviour and Society. 39. 100915–100915. 3 indexed citations
5.
Lee, Daeho, et al.. (2024). Augmenting Online Teamwork Dynamics: Investigating the Effects of a Generative AI Chatbot on Perceived Assistance and the Assessment of Team Members. International Journal of Human-Computer Interaction. 1–13. 2 indexed citations
6.
Lee, Jieon & Daeho Lee. (2023). User perception and self-disclosure towards an AI psychotherapy chatbot according to the anthropomorphism of its profile picture. Telematics and Informatics. 85. 102052–102052. 33 indexed citations
7.
Shin, Jungwoo, et al.. (2023). How should the results of artificial intelligence be explained to users? - Research on consumer preferences in user-centered explainable artificial intelligence. Technological Forecasting and Social Change. 188. 122343–122343. 42 indexed citations
8.
Park, Inyoung, Daeho Lee, & Young June Sah. (2022). Under watching eyes in news comment sections: effects of audience cue on self-awareness and commenting behaviour. Behaviour and Information Technology. 42(13). 2279–2295. 4 indexed citations
9.
Park, Inyoung, Suhyun Lee, & Daeho Lee. (2022). Virtual Audience Providing AI-Generated Emotional Reactions to Enhance Self-Disclosure in Self-Introduction. International Journal of Human-Computer Interaction. 39(13). 2702–2713. 3 indexed citations
10.
11.
Park, Inyoung, Young June Sah, Suhyun Lee, & Daeho Lee. (2022). Avatar-Mediated Communication in Video Conferencing: Effect of Self-Affirmation on Debating Participation Focusing on Moderation Effect of Avatar. International Journal of Human-Computer Interaction. 39(3). 464–475. 16 indexed citations
12.
Lee, Daeho, et al.. (2022). Can Voice Reviews Enhance Trust in Voice Shopping? The Effects of Voice Reviews on Trust and Purchase Intention in Voice Shopping. Applied Sciences. 12(20). 10674–10674. 3 indexed citations
13.
Lee, Jieon, et al.. (2022). Influence of Rapport and Social Presence with an AI Psychotherapy Chatbot on Users’ Self-Disclosure. International Journal of Human-Computer Interaction. 40(7). 1620–1631. 42 indexed citations
14.
Park, Inyoung, et al.. (2021). Changes in consumption patterns during the COVID-19 pandemic: Analyzing the revenge spending motivations of different emotional groups. Journal of Retailing and Consumer Services. 65. 102874–102874. 60 indexed citations
15.
Lee, Daeho, et al.. (2021). Perceived Consumer Discomfort of Online Video Advertising :Analysis of Characteristics by Consumer Cluster. 80(6). 528–536. 1 indexed citations
16.
Park, Inyoung, et al.. (2020). The effects of popularity metrics in news comments on the formation of public opinion: Evidence from an internet portal site. The Social Science Journal. 60(2). 367–382. 6 indexed citations
17.
Lee, Sangwon, Taehyun Ha, Daeho Lee, & Jang Hyun Kim. (2018). Understanding the majority opinion formation process in online environments: An exploratory approach to Facebook. Information Processing & Management. 54(6). 1115–1128. 31 indexed citations
18.
Lee, Daeho, et al.. (2016). Differences in the Consumers’ Intention to adopt in accordance with the characteristics of car O2O services. 11(1). 71–96. 2 indexed citations
19.
Lee, Daeho, et al.. (2016). Analysis of Intention to Use Car Infotainment in the Context of Intrinsic and Extrinsic Motivations. 17(3). 49–73. 1 indexed citations
20.
Lee, Daeho & Junseok Hwang. (2011). The Effect of Network Neutrality on the Incentive to Discriminate, Invest and Innovate: A Literature Review. RePEc: Research Papers in Economics. 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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