Phai Vu Dinh

1.7k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Phai Vu Dinh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Phai Vu Dinh has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 9 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Phai Vu Dinh's work include Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Malware Detection Techniques (8 papers). Phai Vu Dinh is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Malware Detection Techniques (8 papers). Phai Vu Dinh collaborates with scholars based in Vietnam, Australia and United Kingdom. Phai Vu Dinh's co-authors include Trần Nguyên Ngọc, Qi Shi, Nathan Shone, Cao Truong Tran, Nguyen Ba Thuy, Sooyoul Kim, Xuan Hoai Nguyen, Quang Uy Nguyen, Eryk Dutkiewicz and Dinh Thai Hoang and has published in prestigious journals such as IEEE Internet of Things Journal, Ocean Engineering and IEEE Transactions on Emerging Topics in Computational Intelligence.

In The Last Decade

Phai Vu Dinh

11 papers receiving 1.0k citations

Hit Papers

A Deep Learning Approach to Network Intrusion Detection 2018 2026 2020 2023 2018 250 500 750 1000

Peers

Phai Vu Dinh
Comparison fields: 5 of 59
  • Computer Networks and Communications 971
  • Artificial Intelligence 856
  • Signal Processing 539
  • Information Systems 90
  • Control and Systems Engineering 80
Yuyang Zhou China
Kaiyuan Jiang China
Markus Ring Germany
Eduardo K. Viegas Brazil
Shanqing Jiang China
Mario Di Mauro Italy
Eul Gyu Im South Korea
Sobia Wassan China
Ditipriya Sinha India
Lin Qiao China
Yuyang Zhou China View profile →
Citations per field, relative to Phai Vu Dinh
Phai Vu Dinh · 1×
Citations per year, relative to Phai Vu Dinh
Phai Vu Dinh · 1×

Countries citing papers authored by Phai Vu Dinh

Since Specialization
Citations

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

Fields of papers citing papers by Phai Vu Dinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phai Vu Dinh. 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 Phai Vu Dinh. The network helps show where Phai Vu Dinh may publish in the future.

Co-authorship network of co-authors of Phai Vu Dinh

This figure shows the co-authorship network connecting the top 25 collaborators of Phai Vu Dinh. A scholar is included among the top collaborators of Phai Vu Dinh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phai Vu Dinh. Phai Vu Dinh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 4
5 4
6 2
7 25
8 6
9 7
10
A Deep Learning Approach to Network Intrusion Detection breakdown →
1036
11 7
12 7

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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2026