Bryan Ng

1.1k citations
71 papers · 784 indexed · h-index 16

Impact in

Papers in

Bryan Ng

67 papers receiving 768 citations

Peers

Bryan Ng
Comparison fields: 5 of 46
  • Computer Networks and Communications 671
  • Information Systems and Management 109
  • Information Systems 312
  • Hardware and Architecture 29
  • Artificial Intelligence 122
Replace Javier Diaz‐Montes with:
Javier Diaz‐Montes United States
Ferruccio Damiani Italy
Salmin Sultana United States
Shweta Jain United States
Gaochao Xu China
V. Vasudevan India
Panagiotis Kokkinos Greece
A. G. Ganek United States
Hyuck Han South Korea
Geir M. Køien Norway
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 2018119
2 201763
3 201947
4 201744
5 201929
6 201629
7 201529
8 201626
9 201826
10 201824
11 201520
12 201720
13 201719
14 201617
15 202016
16 201615
17 201615
18 201714
19 201713
20
Traffic Classification with Machine Learning in a Live Network
201912

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 784 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), Mobile Ad Hoc Networks (9 papers), Cooperative Communication and Network Coding (9 papers), Cloud Computing and Resource Management (9 papers), Network Security and Intrusion Detection (9 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Computer Networks and Communications (671 citations), Information Systems and Management (109 citations), Information Systems (312 citations), Hardware and Architecture (29 citations) and Artificial Intelligence (122 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, Yutaka Takahashi, Yuki Goto, Ying‐Dar Lin, Liang Yang, Yuan‐Cheng Lai and Kyle Chard. Their work appears in journals such as Journal of Network and Computer Applications, Future Generation Computer Systems, Computer Networks, 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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