Kyumin Lee

52 papers receiving 1.3k citations

Kyumin Lee's Hit Papers

Uncovering social spammers 2010 · 422 citations
4220+5+10Years since publication100200300400

Peers

Kyumin Lee
Comparison fields: 5 of 80
  • Information Systems 918
  • Statistical and Nonlinear Physics 270
  • Signal Processing 232
  • Computer Science Applications 107
  • Artificial Intelligence 626
Replace Tiago Rodrigues with:
Tiago Rodrigues Brazil
Sibel Adalı United States
Inbal Ronen Israel
Vanessa Murdock United States
Paolo Massa Italy
Jianshu Weng Singapore
Krishna P. N. Puttaswamy United States
Shilad Sen United States
Aditi Gupta India
Leon Derczynski United Kingdom
Kyumin Lee relative to Tiago Rodrigues Brazil Tiago Rodrigues's profile →
Citations per field
00.5×10.8×
Tiago Rodrigues · 1×
Citations per year

Countries citing papers authored by Kyumin Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyumin Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyumin 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 Kyumin Lee Line = papers co-authored together Kyumin Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Uncovering social spammers
Hit paper breakdown →
2010422
2 2021101
3 201879
4 201364
5 201559
6 201056
7 201547
8 201446
9 201539
10 201535
11 201628
12 201528
13 201326
14 201926
15 201426
16 201123
17 201123
18 201923
19 201222
20 202120

About Kyumin Lee

Kyumin Lee is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics and Computer Science Applications, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spam and Phishing Detection (28 papers), Misinformation and Its Impacts (14 papers), Complex Network Analysis Techniques (13 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Topic Modeling (9 papers), Internet Traffic Analysis and Secure E-voting (6 papers), FinTech, Crowdfunding, Digital Finance (4 papers) and Hate Speech and Cyberbullying Detection (4 papers). The work is most often cited by research in Information Systems (918 citations), Statistical and Nonlinear Physics (270 citations), Signal Processing (232 citations), Computer Science Applications (107 citations) and Artificial Intelligence (626 citations). Kyumin Lee has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include James Caverlee, Steve Webb, Nguyen Vo, Zhiyuan Cheng, Brian Eoff, Krishna Kamath, Hancheng Ge, Thanh Tran, Jeffrey Nichols and Michelle X. Zhou. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Social Network Analysis and Mining, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Scientific Reports and Building and Environment.

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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