Sangwon Lee

43 papers receiving 1.2k citations

Sangwon Lee's Hit Papers

On social Web sites 2009 · 337 citations
3370+5+11Years since publication100200300

Peers

Sangwon Lee
Comparison fields: 5 of 107
  • Information Systems and Management 190
  • Automotive Engineering 171
  • Social Psychology 302
  • Communication 83
  • Human-Computer Interaction 60
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Jason Borenstein United States
Paul F. Clay United States
Alfred Benedikt Brendel Germany
Michelle Carter United States
Ben Kei Daniel New Zealand
Xu Song Sun China
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Yixuan Li China
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Citations per year

Countries citing papers authored by Sangwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sangwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sangwon Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sangwon Lee Line = papers co-authored together Sangwon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
On social Web sites
Hit paper breakdown →
2009337
2 2019202
3 2015188
4 2020112
5 2015100
6 201866
7 201834
8 202230
9 202122
10 201621
11 202217
12 201616
13 202015
14 201214
15 202114
16 201613
17 202013
18 202112
19 20189
20 20168

About Sangwon Lee

Sangwon Lee is a scholar working on Human-Computer Interaction, Economics and Econometrics, Management Science and Operations Research, Social Psychology and Computer Networks and Communications, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (8 papers), Pharmaceutical Economics and Policy (6 papers), Usability and User Interface Design (4 papers), Media and Digital Communication (4 papers), Digital Marketing and Social Media (2 papers), Technology Adoption and User Behaviour (2 papers), Social Robot Interaction and HRI (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Information Systems and Management (190 citations), Automotive Engineering (171 citations), Social Psychology (302 citations), Communication (83 citations) and Human-Computer Interaction (60 citations). Sangwon Lee has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Won Ho Kim, Ok‐Ran Jeong, Taehyun Ha, Kwang-Kyu Seo, Daeho Lee, Ki Joon Kim, Jae-Gil Lee, Donghee Shin, Yuri Park and Sangyeon Kim. Their work appears in journals such as International Journal of Human-Computer Interaction, Therapeutic Innovation & Regulatory Science, Information Processing & Management, Journal of Pharmaceutical Innovation and Epidemiology and Health.

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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