Bryan Ng

1.1k citations
71 papers · 841 · h-index 16

Impact in

Papers in

Bryan Ng

68 papers receiving 822 citations

Peers

Bryan Ng
Comparison fields: 5 of 52
  • Computer Networks and Communications 720
  • Information Systems and Management 113
  • Information Systems 341
  • Hardware and Architecture 30
  • Artificial Intelligence 127
Replace Javier Diaz‐Montes with:
Javier Diaz‐Montes United States
Shweta Jain United States
Adrien Lèbre France
Jan S. Rellermeyer Switzerland
Panagiotis Kokkinos Greece
V. Vasudevan India
Gaochao Xu China
Mala Kalra India
Salmin Sultana United States
Bert Vankeirsbilck Belgium
Bryan Ng relative to Javier Diaz‐Montes United States Javier Diaz‐Montes's profile →
Citations per field
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Javier Diaz‐Montes · 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 2018127
2 201768
3 201955
4 201745
5 201633
6 201531
7 201931
8 201628
9 201826
10 201825
11 201722
12 201522
13 201722
14 201619
15 201619
16 202016
17 201715
18 201615
19
Traffic Classification with Machine Learning in a Live Network
201913
20 201713

About Bryan Ng

Bryan Ng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Biomedical Engineering, having authored 71 papers that have together received 841 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (22 papers), Wireless Networks and Protocols (17 papers), Network Traffic and Congestion Control (10 papers), Cloud Computing and Resource Management (9 papers), Caching and Content Delivery (9 papers), Mobile Ad Hoc Networks (9 papers), Cooperative Communication and Network Coding (9 papers) and Network Security and Intrusion Detection (9 papers). The work is most often cited by research in Computer Networks and Communications (720 citations), Information Systems and Management (113 citations), Information Systems (341 citations), Hardware and Architecture (30 citations) and Artificial Intelligence (127 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, Adrián Pekár, Yuki Goto, Yutaka Takahashi, Ying–Dar Lin, Yuan‐Cheng Lai, Liang Yang and Kyle Chard. Their work appears in journals such as Journal of Network and Computer Applications, Computer Networks, Future Generation Computer Systems, Immunotechnology and IEEE Internet of Things Journal.

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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