Denis Foo Kune

1.1k citations
17 papers · 663 · h-index 12

Impact in

Papers in

Denis Foo Kune

17 papers receiving 630 citations

Peers

Denis Foo Kune
Comparison fields: 5 of 61
  • Signal Processing 167
  • Computer Networks and Communications 306
  • Hardware and Architecture 89
  • Information Systems 182
  • Artificial Intelligence 223
Replace Luis Parrilla with:
Luis Parrilla Spain
Yunmok Son South Korea
Ali Ghubaish United States
Nazar Abbas Saqib Pakistan
Kuochen Wang Taiwan
Brahmjit Singh India
Pankaj Kumar India
Bo‐Chao Cheng Taiwan
Shahriar Shahabuddin Finland
Tuanfa Qin China
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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

17 of 17 papers shown
#Work
1 2013185
2 2014166
3 201050
4
Location leaks over the GSM air interface.
201245
5 201039
6 201735
7 200833
8
Losing control of the Internet: Using the data plane to attack the control plane
201122
9 201320
10 201416
11 201313
12 201212
13 20148
14 19997
15 20096
16 20104
17
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, Information Systems, Biomedical Engineering and Surgery, having authored 17 papers that have together received 663 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Peer-to-Peer Network Technologies (4 papers), Wireless Body Area Networks (3 papers), User Authentication and Security Systems (3 papers), Software-Defined Networks and 5G (2 papers), Healthcare Technology and Patient Monitoring (2 papers) and Cryptographic Implementations and Security (2 papers). The work is most often cited by research in Signal Processing (167 citations), Computer Networks and Communications (306 citations), Hardware and Architecture (89 citations), Information Systems (182 citations) and Artificial Intelligence (223 citations). Denis Foo Kune has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yongdae Kim, Michael Rushanan, Aviel D. Rubin, Colleen M. Swanson, Nicholas Hopper, Wenyuan Xu, Daniel B. Kramer, Shane S. Clark, Matthew R. Reynolds and Kan Fu. Their work appears in journals such as Pacing and Clinical Electrophysiology, IEEE Transactions on Dependable and Secure Computing, Security and Communication Networks, CERN Document Server (European Organization for Nuclear Research) 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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