Alex Ng

1.7k citations
25 papers · 821 indexed · 1 hit paper · h-index 14

Alex Ng

25 papers receiving 757 citations

Hit Papers

Cybersecurity data science: an overview from machine lear...3662020202620222024100200300

Peers

Alex Ng
Comparison fields: 5 of 102
  • Signal Processing 257
  • Information Systems 384
  • Computer Networks and Communications 376
  • Health Informatics 15
  • Artificial Intelligence 293
Replace Sagar Samtani with:
Sagar Samtani United States
Tooska Dargahi United Kingdom
Richard Chbeir France
Narmeen Zakaria Bawany Pakistan
Keshav Kaushik India
Maurice van Keulen Netherlands
Ricardo Neisse Italy
Rafał Kozik Poland
Jawwad Ahmed Shamsi Pakistan
Yan Jia China
Alex Ng relative to Sagar Samtani United States Sagar Samtani's profile →
Citations per field
00.5×1.5×
Sagar Samtani · 1×
Citations per year

Countries citing papers authored by Alex Ng

Since Specialization
Citations

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

Fields of papers citing papers by Alex Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 202417
3 202352
4 202334
5 202310
6 202129
7 202118
8
Cybersecurity data science: an overview from machine learning perspectivebreakdown →
2020366
9 20202
10 202058
11 20203
12 202012
13 201915
14 20122
15 200817
16 20068
17 200618
18
A Study of the Impact of Compression and Binary Encoding on SOAP Performance
200513
19
An Evaluation of Contemporary Commercial SOAP Implementations
200427
20 199524

About Alex Ng

Alex Ng is a scholar working on Signal Processing, Information Systems, Computer Networks and Communications, Family Practice and General Social Sciences, having authored 25 papers that have together received 821 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (5 papers), Information and Cyber Security (4 papers), Blockchain Technology Applications and Security (4 papers), Access Control and Trust (3 papers), Privacy, Security, and Data Protection (3 papers), Cloud Data Security Solutions (3 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Signal Processing (257 citations), Information Systems (384 citations), Computer Networks and Communications (376 citations), Health Informatics (15 citations) and Artificial Intelligence (293 citations). Alex Ng has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Paul Watters, A. S. M. Kayes, Shahriar Badsha, Iqbal H. Sarker, Hamed Alqahtani, Timothy R. McIntosh, Yi‐Ping Phoebe Chen, Shiping Chen, Tong Liu and Teo Sušnjak. Their work appears in journals such as Computers & Security, ACM Computing Surveys, IEEE Transactions on Artificial Intelligence, Decision Support Systems and First Monday.

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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