Ly Vu

567 total citations
19 papers, 399 citations indexed

About

Ly Vu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Ly Vu has authored 19 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Ly Vu's work include Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Malware Detection Techniques (8 papers). Ly Vu is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Malware Detection Techniques (8 papers). Ly Vu collaborates with scholars based in Vietnam, Australia and South Korea. Ly Vu's co-authors include Quang Uy Nguyen, Eryk Dutkiewicz, Dinh Thai Hoang, Diep N. Nguyen, Van Loi Cao, Trần Nguyên Ngọc, Trung-Thanh Nguyen, Anh Tuan Nguyen, Hang Viet Dao and Nguyễn Thị Thanh Thủy and has published in prestigious journals such as IEEE Access, IEEE Transactions on Cybernetics and Journal of Computer Science and Cybernetics.

In The Last Decade

Ly Vu

18 papers receiving 381 citations

Peers

Ly Vu
Majjed Al-Qatf China
Kamal Al‐Sabahi China
Chunhua Wu China
Jeffrey S. Chavis United States
Giampaolo Bovenzi Italy
Alfredo Nascita Italy
İlhan Fırat Kılınçer Türkiye
Zouhair Chiba Morocco
Nerijus Morkevičius Lithuania
Majjed Al-Qatf China
Ly Vu
Citations per year, relative to Ly Vu Ly Vu (= 1×) peers Majjed Al-Qatf

Countries citing papers authored by Ly Vu

Since Specialization
Citations

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

Fields of papers citing papers by Ly Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ly Vu

This figure shows the co-authorship network connecting the top 25 collaborators of Ly Vu. A scholar is included among the top collaborators of Ly Vu 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 Ly Vu. Ly Vu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Vu, Ly, et al.. (2023). Improving Loss Function for a Deep Neural Network for Lesion Segmentation. 592–598. 2 indexed citations
2.
3.
Vu, Ly, et al.. (2022). Shrink AutoEncoder for Federated Learning-based IoT Anomaly Detection. 383–388. 1 indexed citations
4.
Vu, Ly, et al.. (2022). A Data Sampling and Two-Stage Convolution Neural Network for IoT Devices Identification. 9. 458–463. 1 indexed citations
5.
Vu, Ly, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, & Eryk Dutkiewicz. (2022). Deep Generative Learning Models for Cloud Intrusion Detection Systems. IEEE Transactions on Cybernetics. 53(1). 565–577. 53 indexed citations
6.
Vu, Ly, et al.. (2021). DeepInsight-Convolutional Neural Network for Intrusion Detection Systems. 120–125. 4 indexed citations
7.
Vu, Ly & Quang Uy Nguyen. (2020). Handling Imbalanced Data in Intrusion Detection Systems using Generative Adversarial Networks. 2020(1). 1–13. 9 indexed citations
8.
Vu, Ly, Van Loi Cao, Quang Uy Nguyen, et al.. (2020). Learning Latent Representation for IoT Anomaly Detection. IEEE Transactions on Cybernetics. 52(5). 3769–3782. 62 indexed citations
9.
Nguyen, Quan, Ly Vu, & Quang Uy Nguyen. (2020). A TWO-CHANNEL MODEL FOR REPRESENTATION LEARNING IN VIETNAMESE SENTIMENT CLASSIFICATION PROBLEM. Journal of Computer Science and Cybernetics. 36(4). 305–323. 1 indexed citations
10.
Vu, Ly, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, & Eryk Dutkiewicz. (2020). Deep Transfer Learning for IoT Attack Detection. IEEE Access. 8. 107335–107344. 90 indexed citations
11.
Vu, Ly, Van Loi Cao, Quang Uy Nguyen, et al.. (2019). Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System. 1–6. 22 indexed citations
12.
Vu, Ly & Quang Uy Nguyen. (2019). An Ensemble of Activation Functions in AutoEncoder Applied to IoT Anomaly Detection. 534–539. 9 indexed citations
13.
Vu, Ly, Quang Uy Nguyen, Trần Nguyên Ngọc, et al.. (2018). Time Series Analysis for Encrypted Traffic Classification: A Deep Learning Approach. 121–126. 23 indexed citations
14.
15.
Vu, Ly, et al.. (2017). Speed limit traffic sign detection and recognition based on support vector machines. 274–278. 6 indexed citations
16.
Vu, Ly, et al.. (2017). Speed up Querying Encrypted Data on Outsourced Database. 47–52. 2 indexed citations
17.
Vu, Ly, et al.. (2016). Learning from imbalanced data for encrypted traffic identification problem. 147–152. 21 indexed citations
18.
Nguyen, Trung-Thanh, et al.. (2015). Unsupervised Anomaly Detection in Online Game. 4–10. 3 indexed citations
19.
Vu, Ly, et al.. (2014). Full weighting Hough Forests for object detection. 253–258. 1 indexed citations

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