Bryan Ng

1.1k citations
71 papers · 874 · h-index 17

Impact in

Papers in

    • Software-Defined Networks and 5G 20
    • Wireless Networks and Protocols 8
    • Error Correcting Code Techniques 3
    • Mobile Ad Hoc Networks 3
    • Cloud Computing and Resource Management 11
    • Blockchain Technology Applications and Security 3

Bryan Ng

68 papers receiving 859 citations

Peers

Bryan Ng
Comparison fields: 5 of 22
  • Computer Networks and Communications 332
  • Information Systems 255
  • Biomedical Engineering 54
  • Hardware and Architecture 10
  • Artificial Intelligence 36
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Citations per field
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Thanasis Loukopoulos · 1×
Citations per year

Countries citing papers authored by Bryan Ng

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018130
2 201770
3 201956
4 201745
5 201635
6 201932
7 201531
8 201630
9 201526
10 201826
11 201825
12 201723
13 201722
14 201619
15 201619
16 201618
17 202018
18 201716
19 201815
20
Traffic Classification with Machine Learning in a Live Network
201914

About Bryan Ng

Bryan Ng is a scholar working on Computer Networks and Communications, Information Systems, Biomedical Engineering, Human-Computer Interaction and Electrical and Electronic Engineering, having authored 71 papers that have together received 874 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (20 papers), Cloud Computing and Resource Management (11 papers), Wireless Networks and Protocols (8 papers), Molecular Communication and Nanonetworks (4 papers), IPv6, Mobility, Handover, Networks, Security (3 papers), Error Correcting Code Techniques (3 papers), Blockchain Technology Applications and Security (3 papers) and Mobile Ad Hoc Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (332 citations), Information Systems (255 citations), Biomedical Engineering (54 citations), Hardware and Architecture (10 citations) and Artificial Intelligence (36 citations). Bryan Ng has collaborated with scholars based in New Zealand, Japan and Malaysia. Frequent co-authors include Winston K.G. Seah, Kris Bubendorfer, Ying Qu, Yutaka Takahashi, Adrián Pekár, Yuan‐Cheng Lai, Ying–Dar Lin, Liang Yang, Kyle Chard and Hiroyuki Masuyama. Their work appears in journals such as Journal of Network and Computer Applications, Future Generation Computer Systems, Computer Networks, IEEE Internet of Things Journal and Immunotechnology.

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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