Denis Foo Kune

1.1k citations
19 papers · 785 · h-index 13

Impact in

Papers in

    • Caching and Content Delivery 7
    • Peer-to-Peer Network Technologies 4
    • Opportunistic and Delay-Tolerant Networks 2
    • Network Security and Intrusion Detection 2
    • Software-Defined Networks and 5G 2
    • Internet Traffic Analysis and Secure E-voting 7

Denis Foo Kune

19 papers receiving 745 citations

Peers

Denis Foo Kune
Comparison fields: 5 of 65
  • Signal Processing 185
  • Computer Networks and Communications 357
  • Hardware and Architecture 102
  • Information Systems 213
  • Artificial Intelligence 274
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Citations per field
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Citations per year

Countries citing papers authored by Denis Foo Kune

Since Specialization
Citations

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

Fields of papers citing papers by Denis Foo Kune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Foo Kune. 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 Denis Foo Kune. The network helps show where Denis Foo Kune may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013200
2 2014183
3 201059
4
Location leaks over the GSM air interface.
201249
5 201048
6 201741
7 201237
8 200837
9
Losing control of the Internet: Using the data plane to attack the control plane
201124
10 201322
11 201418
12 201215
13 201313
14 201310
15 20149
16 20097
17 19997
18 20104
19
The Distributed Virtual Network for High Fidelity, Large Scale Peer to Peer Network Simulation
20102

About Denis Foo Kune

Denis Foo Kune is a scholar working on Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering, Information Systems and Surgery, having authored 19 papers that have together received 785 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (7 papers), Caching and Content Delivery (7 papers), Wireless Body Area Networks (4 papers), Peer-to-Peer Network Technologies (4 papers), User Authentication and Security Systems (3 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Network Security and Intrusion Detection (2 papers) and Software-Defined Networks and 5G (2 papers). The work is most often cited by research in Signal Processing (185 citations), Computer Networks and Communications (357 citations), Hardware and Architecture (102 citations), Information Systems (213 citations) and Artificial Intelligence (274 citations). Denis Foo Kune has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yongdae Kim, Aviel D. Rubin, Michael Rushanan, Colleen M. Swanson, Nicholas Hopper, Wenyuan Xu, Daniel B. Kramer, Shane S. Clark, Kan Fu and John Backes. Their work appears in journals such as Pacing and Clinical Electrophysiology, IEEE Transactions on Dependable and Secure Computing, Lecture notes in computer science, Security and Communication Networks and Scholar Commons (University of South Carolina).

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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