Van-Hau Pham

854 total citations
79 papers, 439 citations indexed

About

Van-Hau Pham is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, Van-Hau Pham has authored 79 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Computer Networks and Communications, 40 papers in Information Systems and 39 papers in Signal Processing. Recurrent topics in Van-Hau Pham's work include Network Security and Intrusion Detection (44 papers), Advanced Malware Detection Techniques (39 papers) and Internet Traffic Analysis and Secure E-voting (16 papers). Van-Hau Pham is often cited by papers focused on Network Security and Intrusion Detection (44 papers), Advanced Malware Detection Techniques (39 papers) and Internet Traffic Analysis and Secure E-voting (16 papers). Van-Hau Pham collaborates with scholars based in Vietnam, Myanmar and Poland. Van-Hau Pham's co-authors include Phan The Duy, Marc Daciér, Anh Gia-Tuan Nguyen, Tuan Anh Nguyen, Nam V. Nguyen, Hiroo Sekiya, Van-Hoang Le, Duy-Dinh Le, Thanh Duc Ngo and Kien Nguyen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Fusion.

In The Last Decade

Van-Hau Pham

61 papers receiving 425 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Van-Hau Pham Vietnam 11 261 203 170 160 29 79 439
Phan The Duy Vietnam 10 203 0.8× 170 0.8× 153 0.9× 116 0.7× 25 0.9× 60 369
Cataldo Basile Italy 13 247 0.9× 129 0.6× 157 0.9× 110 0.7× 16 0.6× 40 389
Flavio Lombardi Italy 10 287 1.1× 422 2.1× 222 1.3× 119 0.7× 18 0.6× 31 593
Ivan Homoliak Czechia 9 241 0.9× 206 1.0× 157 0.9× 161 1.0× 23 0.8× 29 367
Abdulghani Ali Ahmed Malaysia 12 238 0.9× 233 1.1× 205 1.2× 173 1.1× 27 0.9× 34 459
Ron Ruhl Canada 12 155 0.6× 286 1.4× 114 0.7× 166 1.0× 13 0.4× 52 392
Fabio Pierazzi United Kingdom 13 366 1.4× 216 1.1× 248 1.5× 302 1.9× 27 0.9× 34 519
Jinpeng Wei United States 13 309 1.2× 425 2.1× 293 1.7× 202 1.3× 19 0.7× 51 631
Faheem Ullah Australia 8 228 0.9× 131 0.6× 119 0.7× 129 0.8× 34 1.2× 23 311
Chun-Jen Chung United States 8 352 1.3× 189 0.9× 203 1.2× 139 0.9× 26 0.9× 16 475

Countries citing papers authored by Van-Hau Pham

Since Specialization
Citations

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

Fields of papers citing papers by Van-Hau Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van-Hau Pham. 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-Hau Pham. The network helps show where Van-Hau Pham may publish in the future.

Co-authorship network of co-authors of Van-Hau Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Van-Hau Pham. A scholar is included among the top collaborators of Van-Hau Pham 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-Hau Pham. Van-Hau Pham 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.
Pham, Van-Hau, et al.. (2025). Fedvuln: Scalable and privacy-preserving federated graph learning for smart contract vulnerability detection on parallel systems. Future Generation Computer Systems. 178. 108264–108264.
2.
Pham, Van-Hau, et al.. (2025). On the effectiveness of adversarial samples against ensemble learning-based windows PE malware detectors. International Journal of Information Security. 24(1).
4.
Duy, Phan The, et al.. (2024). ChainSniper: A Machine Learning Approach for Auditing Cross-Chain Smart Contracts. 223–230. 3 indexed citations
5.
Duy, Phan The, et al.. (2024). Fed-Evolver: An automated evolving approach for federated Intrusion Detection System using adversarial autoencoder in SDN-enabled networks. Internet of Things. 28. 101397–101397. 4 indexed citations
6.
Duy, Phan The, et al.. (2024). Fed-LSAE: Thwarting poisoning attacks against federated cyber threat detection system via Autoencoder-based latent space inspection. Journal of Information Security and Applications. 87. 103916–103916. 1 indexed citations
9.
Pham, Van-Hau, et al.. (2024). RAX-ClaMal: Dynamic Android malware classification based on RAX register values. Internet of Things. 30. 101482–101482.
13.
Duy, Phan The, et al.. (2023). DoppelSearch: A Novel Approach to Content-Based Video Retrieval for AI Challenge HCMC 2023. 916–922. 1 indexed citations
15.
Duy, Phan The, et al.. (2023). FedChain-Hunter: A reliable and privacy-preserving aggregation for federated threat hunting framework in SDN-based IIoT. Internet of Things. 24. 100966–100966. 9 indexed citations
16.
Pham, Van-Hau, et al.. (2023). Deception and Continuous Training Approach for Web Attack Detection using Cyber Traps and MLOps. Science and Technology Development Journal. 1 indexed citations
17.
Duy, Phan The, et al.. (2023). An interpretable approach for trustworthy intrusion detection systems against evasion samples. SHILAP Revista de lepidopterología. 15(ISDS). 12–19.
19.
20.
Duy, Phan The, et al.. (2020). Forensic analysis of TikTok application to seek digital artifacts on Android smartphone. 1–5. 15 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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