Kangkook Jee

1.6k citations
26 papers · 1.0k · h-index 13

Impact in

Papers in

Kangkook Jee

24 papers receiving 1.0k citations

Peers

Kangkook Jee
Comparison fields: 5 of 39
  • Signal Processing 652
  • Computer Networks and Communications 713
  • Information Systems 488
  • Software 78
  • Information Systems and Management 110
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Citations per field
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Citations per year

Countries citing papers authored by Kangkook Jee

Since Specialization
Citations

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

Fields of papers citing papers by Kangkook Jee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019190
2 2012176
3 2020131
4 2018113
5 2016105
6 201862
7 201343
8
A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware.
201237
9 201236
10 202219
11 202018
12
AIQL: enabling efficient attack investigation from system monitoring data
201816
13 201914
14 201412
15 202012
16 202011
17
{SEAL}: Storage-efficient Causality Analysis on Enterprise Logs with Query-friendly Compression
202111
18 202010
19 20219
20 20197

About Kangkook Jee

Kangkook Jee is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Information Systems and Management, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (19 papers), Advanced Malware Detection Techniques (16 papers), Software System Performance and Reliability (7 papers), Security and Verification in Computing (6 papers), Information and Cyber Security (5 papers), Anomaly Detection Techniques and Applications (4 papers), Spam and Phishing Detection (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Signal Processing (652 citations), Computer Networks and Communications (713 citations), Information Systems (488 citations), Software (78 citations) and Information Systems and Management (110 citations). Kangkook Jee has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Angelos D. Keromytis, Georgios Portokalidis, Vasileios P. Kemerlis, Junghwan Rhee, Li Ding, Wajih Ul Hassan, Zhengzhang Chen, Zhichun Li, Zhichun Li and Adam Bates. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Dependable and Secure Computing, Proceedings of the VLDB Endowment, Lecture notes in computer science and USENIX Security Symposium.

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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