Sang‐Yong Tom Lee

2.8k total citations · 1 hit paper
95 papers, 2.0k citations indexed

About

Sang‐Yong Tom Lee is a scholar working on Economics and Econometrics, Information Systems and Strategy and Management. According to data from OpenAlex, Sang‐Yong Tom Lee has authored 95 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Economics and Econometrics, 23 papers in Information Systems and 22 papers in Strategy and Management. Recurrent topics in Sang‐Yong Tom Lee's work include Digital Platforms and Economics (18 papers), Technology and Data Analysis (10 papers) and Digital Marketing and Social Media (8 papers). Sang‐Yong Tom Lee is often cited by papers focused on Digital Platforms and Economics (18 papers), Technology and Data Analysis (10 papers) and Digital Marketing and Social Media (8 papers). Sang‐Yong Tom Lee collaborates with scholars based in South Korea, Singapore and United States. Sang‐Yong Tom Lee's co-authors include Kai-Lung Hui, Ivan Png, Il-Horn Hann, Roghieh Gholami, Hee‐Woong Kim, Sumeet Gupta, Jee‐Hae Lim, Almas Heshmati, Chee Wei Phang and Kwansoo Kim and has published in prestigious journals such as Management Science, Communications of the ACM and MIS Quarterly.

In The Last Decade

Sang‐Yong Tom Lee

73 papers receiving 1.8k citations

Hit Papers

The Value of Privacy Assurance: An Exploratory Field Expe... 2007 2026 2013 2019 2007 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Value of Privacy Assurance: An Exploratory Field Experiment1
    2007 473 citations Kai-Lung Hui, Sang‐Yong Tom Lee et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Yong Tom Lee South Korea 19 929 511 438 341 329 95 2.0k
Muhammad Anshari Brunei 26 598 0.6× 413 0.8× 636 1.5× 240 0.7× 243 0.7× 142 2.5k
Chee‐Wee Tan Denmark 22 658 0.7× 559 1.1× 316 0.7× 150 0.4× 413 1.3× 105 2.0k
Irwin Brown South Africa 23 605 0.7× 848 1.7× 385 0.9× 218 0.6× 186 0.6× 97 2.0k
Jan Muntermann Germany 18 545 0.6× 266 0.5× 397 0.9× 169 0.5× 281 0.9× 71 1.9k
Karl R. Lang United States 20 630 0.7× 425 0.8× 220 0.5× 186 0.5× 394 1.2× 77 1.8k
Sherah Kurnia Australia 26 703 0.8× 783 1.5× 295 0.7× 155 0.5× 344 1.0× 159 2.5k
Rainer Alt Germany 26 662 0.7× 470 0.9× 638 1.5× 243 0.7× 706 2.1× 223 2.7k
Vincent Cho Hong Kong 25 806 0.9× 552 1.1× 199 0.5× 167 0.5× 299 0.9× 76 2.0k
Loo Geok Pee Singapore 23 563 0.6× 443 0.9× 257 0.6× 134 0.4× 260 0.8× 62 1.9k
Xiao Xiao Denmark 20 487 0.5× 225 0.4× 289 0.7× 307 0.9× 198 0.6× 76 1.7k

Countries citing papers authored by Sang‐Yong Tom Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Yong Tom Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Yong Tom 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 Sang‐Yong Tom Lee. The network helps show where Sang‐Yong Tom Lee may publish in the future.

Co-authorship network of co-authors of Sang‐Yong Tom Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Yong Tom Lee. A scholar is included among the top collaborators of Sang‐Yong Tom 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 Sang‐Yong Tom Lee. Sang‐Yong Tom 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.
Gopalakrishnan, C., Sang‐Yong Tom Lee, Dae‐Seop Shin, et al.. (2024). Discovery of novel arylpyridine derivatives for motile ciliogenesis. European Journal of Medicinal Chemistry. 277. 116764–116764.
2.
Lee, Sang‐Yong Tom, et al.. (2020). A Fuzzy-AHP-based Movie Recommendation System with the Bidirectional Recurrent Neural Network Language Model. Journal of Digital Convergence. 18(12). 525–531. 1 indexed citations
3.
Lee, Sang‐Yong Tom, et al.. (2020). A Movie Recommendation System based on Fuzzy-AHP and Word2vec. Journal of Digital Convergence. 18(1). 301–307. 1 indexed citations
4.
Lee, Sang‐Yong Tom, et al.. (2020). Financial Footnote Analysis for Financial Ratio Predictions based on Text-Mining Techniques. 21(2). 177–196. 1 indexed citations
5.
Lee, Sang‐Yong Tom, et al.. (2019). A Movie Recommendation System processing High-Dimensional Data with Fuzzy-AHP and Fuzzy Association Rules. Journal of Digital Convergence. 17(2). 347–353.
6.
Lee, Sang‐Yong Tom, et al.. (2019). How to improve the accuracy of recommendation systems: Combining ratings and review texts sentiment scores. Journal of Intelligence and Information Systems. 25(1). 219–239. 7 indexed citations
7.
Lee, Sang‐Yong Tom, et al.. (2018). The Impact of Comments on Music Download and Streaming: A Text Mining Analysis. 19(2). 91–108.
8.
Lee, Sang‐Yong Tom, et al.. (2018). ICT R&D and Technology Knowledge Flows in Korea. Journal of Database Management. 29(4). 51–69. 1 indexed citations
9.
Kauffman, Robert J., Kwansoo Kim, & Sang‐Yong Tom Lee. (2017). Computational Social Science Fusion Analytics: Combining Machine-Based Methods with Explanatory Empiricism. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 4 indexed citations
10.
Choi, In-Kyu, Hyok J. Song, Sang‐Yong Tom Lee, & Ji‐Sang Yoo. (2017). Facial Expression Classification Using Deep Convolutional Neural Network. Journal of Broadcast Engineering. 22(2). 162–172. 11 indexed citations
11.
Kim, Kwansoo, Sang‐Yong Tom Lee, & Robert J. Kauffman. (2016). Social Sentiment and Stock Trading via Mobile Phones. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 3 indexed citations
12.
Kim, Tae‐Hwan, et al.. (2014). The Analysis on the Relationship between Firms’ Exposures to SNS and Stock Prices in Korea. Asia Pacific Journal of Information Systems. 24(2). 233–253. 6 indexed citations
13.
Lee, Sang‐Yong Tom, et al.. (2013). Bayesian network based Music Recommendation System considering Multi-Criteria Decision Making. Journal of Digital Convergence. 11(3). 345–352. 2 indexed citations
14.
Lee, Sang‐Yong Tom. (2012). The Direction of the Improvement of the Institutional System for Small and Medium Sized Venture Companies. 16(2). 81–96.
15.
Kim, Mi-Hye & Sang‐Yong Tom Lee. (2011). A Study on the Improvement of Weeding in Academic Library Collection. Journal of the Korean BIBLIA Society for library and Information Science. 22(2). 249–278.
16.
Oh, Jutaek, et al.. (2009). Development of a Critical Value According to Dangerous Drive Behaviors. International Journal of Highway Engineering. 11(1). 69–83. 5 indexed citations
17.
Lee, Sang‐Yong Tom, et al.. (2008). A Conjoint Analysis of Online Information Privacy Concerns: A case in Korea. Asia Pacific Journal of Information Systems. 18(3). 45–65. 2 indexed citations
18.
Hann, Il-Horn, et al.. (2006). Who gets spammed?. Communications of the ACM. 49(10). 83–87. 19 indexed citations
19.
Lee, Sang‐Yong Tom & Wayne Fu. (2006). Software-Platform Integration, Incompatibility, and System-User Switching. Journal of Media Economics. 19(3). 163–192. 1 indexed citations
20.
Gholami, Roghieh, Sang‐Yong Tom Lee, & Almas Heshmati. (2003). The Casual Relationship Between Information and Communication Technology (ICT) and Foreign Direct Investment (FDI). Journal of the Association for Information Systems. 708–729. 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.

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