Van Loi Cao

885 total citations
20 papers, 251 citations indexed

About

Van Loi Cao is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Van Loi Cao has authored 20 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 8 papers in Signal Processing. Recurrent topics in Van Loi Cao's work include Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Advanced Malware Detection Techniques (7 papers). Van Loi Cao is often cited by papers focused on Network Security and Intrusion Detection (14 papers), Anomaly Detection Techniques and Applications (13 papers) and Advanced Malware Detection Techniques (7 papers). Van Loi Cao collaborates with scholars based in Vietnam, Ireland and China. Van Loi Cao's co-authors include Miguel Nicolau, James McDermott, Quang Uy Nguyen, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz, Ly Vu, Trần Nguyên Ngọc, Van Thuy Hoang and Viet Hung Nguyen and has published in prestigious journals such as IEEE Transactions on Cybernetics, International Journal of Wireless Information Networks and SN Computer Science.

In The Last Decade

Van Loi Cao

15 papers receiving 243 citations

Peers

Van Loi Cao
Sebastian Schmidl Germany
Murat İskefiyeli Türkiye
Sultan Zavrak Türkiye
Stefano Basta Italy
Houssam Zenati France
A. B. Siddique United States
Jonathan R. Wells Australia
Bruno Lecouat France
Maria Kontaki Greece
Amira Sayed A. Aziz Egypt
Sebastian Schmidl Germany
Van Loi Cao
Citations per year, relative to Van Loi Cao Van Loi Cao (= 1×) peers Sebastian Schmidl

Countries citing papers authored by Van Loi Cao

Since Specialization
Citations

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

Fields of papers citing papers by Van Loi Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van Loi Cao. 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 Van Loi Cao. The network helps show where Van Loi Cao may publish in the future.

Co-authorship network of co-authors of Van Loi Cao

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

All Works

20 of 20 papers shown
1.
Cao, Van Loi, et al.. (2024). Reliable Pilot Search Method for Enhancing BER Performance in Underwater Acoustic OFDM Systems with MMSE Estimator. International Journal of Wireless Information Networks. 31(2). 84–95.
2.
3.
Cao, Van Loi, et al.. (2023). ONE-CLASS FUSION-BASED LEARNING MODEL FOR ANOMALY DETECTION. Journal of Computer Science and Cybernetics. 39(1). 1–16. 1 indexed citations
4.
5.
Ngọc, Trần Nguyên, et al.. (2023). Deep Clustering Based Latent Representation for IoT Malware Detection. 668–673.
6.
Ngọc, Trần Nguyên, et al.. (2022). Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection. SN Computer Science. 3(6). 6 indexed citations
7.
8.
Nguyen, Tuan Thanh, et al.. (2022). Robust anomaly detection methods for contamination network data. 41–51.
9.
Nguyen, Viet Hung, et al.. (2021). A Robust PCA Feature Selection To Assist Deep Clustering Autoencoder-Based Network Anomaly Detection. Liverpool John Moores University. 335–341. 5 indexed citations
10.
Nguyen, Viet Hung, et al.. (2021). Automatically Estimate Clusters in Autoencoder-based Clustering Model for Anomaly Detection. 1–6. 1 indexed citations
11.
Phan, Anh Viet, et al.. (2020). IoT Malware Detection based on Latent Representation. 177–182. 2 indexed citations
12.
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
13.
Cao, Van Loi, et al.. (2019). Data Fusion-Based Network Anomaly Detection towards Evidence Theory. 93. 33–38. 4 indexed citations
14.
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
15.
Bui, Thanh Cong, et al.. (2019). A Clustering-based Shrink AutoEncoder for Detecting Anomalies in Intrusion Detection Systems. 1–5. 4 indexed citations
16.
Cao, Van Loi, Miguel Nicolau, & James McDermott. (2018). Learning Neural Representations for Network Anomaly Detection. IEEE Transactions on Cybernetics. 49(8). 3074–3087. 126 indexed citations
17.
Nguyen, Quang Uy, et al.. (2018). Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming. 77–83. 7 indexed citations
18.
Truong‐Hong, Linh, et al.. (2018). Automatic Bridge Deck Damage Using Low Cost UAV-based Images. Faculty Digital Archive (New York University Florence). 3 indexed citations
19.
Cao, Van Loi, Miguel Nicolau, & James McDermott. (2017). Late-acceptance and step-counting hill-climbing GP for anomaly detection. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 221–222. 1 indexed citations
20.
Cao, Van Loi, Van Thuy Hoang, & Quang Uy Nguyen. (2013). A scheme for building a dataset for intrusion detection systems. 280–284. 5 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