Kyumin Lee

64 papers receiving 1.7k citations

Kyumin Lee's Hit Papers

Uncovering social spammers 2010 · 493 citations
4930+5+10Years since publication100200300400

Peers

Kyumin Lee
Comparison fields: 5 of 81
  • Information Systems 1.2k
  • Signal Processing 302
  • Statistical and Nonlinear Physics 321
  • Artificial Intelligence 811
  • Computer Science Applications 133
Replace Fabian Abel with:
Fabian Abel Germany
Tiago Rodrigues Brazil
Aditi Gupta India
Sibel Adalı United States
Vanessa Murdock United States
Fabio Gasparetti Italy
Craig E. Wills United States
Inbal Ronen Israel
Wouter Weerkamp Netherlands
Jianshu Weng Singapore
Kyumin Lee relative to Fabian Abel Germany Fabian Abel's profile →
Citations per field
00.5×2×3×3.7×
Fabian Abel · 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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Uncovering social spammers
Hit paper breakdown →
2010493
2 2021128
3 2018101
4 201082
5 201376
6 201569
7 201459
8 201556
9 201544
10 201544
11 201943
12 201536
13 201636
14 201334
15 201431
16 201928
17 201227
18 201527
19 201126
20 201124

About Kyumin Lee

Kyumin Lee is a scholar working on Information Systems, Computer Science Applications, Artificial Intelligence, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Spam and Phishing Detection (33 papers), Misinformation and Its Impacts (19 papers), Topic Modeling (15 papers), Complex Network Analysis Techniques (12 papers), Mobile Crowdsensing and Crowdsourcing (10 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Advanced Graph Neural Networks (6 papers) and FinTech, Crowdfunding, Digital Finance (6 papers). The work is most often cited by research in Information Systems (1.2k citations), Signal Processing (302 citations), Statistical and Nonlinear Physics (321 citations), Artificial Intelligence (811 citations) and Computer Science Applications (133 citations). Kyumin Lee has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include James Caverlee, Steve A. R. Webb, Nguyen Vo, Zhiyuan Cheng, Brian Eoff, Krishna Yeswanth Kamath, Hancheng Ge, Jeffrey W. Nichols, Jalal Mahmud and Michelle X. Zhou. Their work appears in journals such as Social Network Analysis and Mining, ACM Transactions on Intelligent Systems and Technology, Scientific Reports, Building and Environment and Computing.

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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