Vu Nguyen

1.4k total citations
54 papers, 732 citations indexed

About

Vu Nguyen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Vu Nguyen has authored 54 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Computational Theory and Mathematics. Recurrent topics in Vu Nguyen's work include Advanced Multi-Objective Optimization Algorithms (10 papers), Machine Learning and Algorithms (8 papers) and Gaussian Processes and Bayesian Inference (8 papers). Vu Nguyen is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (10 papers), Machine Learning and Algorithms (8 papers) and Gaussian Processes and Bayesian Inference (8 papers). Vu Nguyen collaborates with scholars based in Australia, United Kingdom and United States. Vu Nguyen's co-authors include Michael Blumenstein, Svetha Venkatesh, Sunil Gupta, Dinh Phung, Santu Rana, Graham Leedham, Tu Dinh Nguyen, Trung Le, Jyotir Moy Chatterjee and Dieu Tien Bui and has published in prestigious journals such as Scientific Reports, Experimental Neurology and PLoS Computational Biology.

In The Last Decade

Vu Nguyen

49 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vu Nguyen Australia 15 289 174 108 98 96 54 732
Xin Bi China 16 388 1.3× 153 0.9× 14 0.1× 28 0.3× 52 0.5× 66 860
Bo Jin China 14 183 0.6× 206 1.2× 31 0.3× 25 0.3× 13 0.1× 72 857
Ian Nabney United Kingdom 7 285 1.0× 162 0.9× 51 0.5× 39 0.4× 5 0.1× 20 860
Jakob Gawlikowski Germany 7 243 0.8× 101 0.6× 23 0.2× 28 0.3× 9 0.1× 13 633
Jia Guo China 14 121 0.4× 45 0.3× 307 2.8× 20 0.2× 25 0.3× 61 1.0k
Anna Kruspe Germany 10 299 1.0× 125 0.7× 22 0.2× 28 0.3× 8 0.1× 27 694
Roy W. Dobbins United States 7 389 1.3× 44 0.3× 125 1.2× 26 0.3× 10 0.1× 15 858
Fahed Abdallah France 17 433 1.5× 284 1.6× 42 0.4× 63 0.6× 8 0.1× 53 861
Kris De Brabanter United States 16 207 0.7× 141 0.8× 17 0.2× 24 0.2× 9 0.1× 42 815

Countries citing papers authored by Vu Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Vu Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vu Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Vu Nguyen. A scholar is included among the top collaborators of Vu Nguyen 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 Vu Nguyen. Vu Nguyen 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.
Nguyen, Vu, et al.. (2023). A Machine Learning Approach for PLGA Nanoparticles in Antiviral Drug Delivery. Pharmaceutics. 15(2). 495–495. 28 indexed citations
2.
Nguyen, Vu. (2021). Factors Influence the Pre-service Teachers’ Learning in the Practicum. Journal of Comparative & International Higher Education. 12(6S1).
3.
Nguyen, Vu, et al.. (2021). Personalized brain stimulation for effective neurointervention across participants. PLoS Computational Biology. 17(9). e1008886–e1008886. 19 indexed citations
4.
Sejdinović, Dino, Natalia Ares, Vu Nguyen, et al.. (2021). Deep reinforcement learning for efficient measurement of quantum devices. Oxford University Research Archive (ORA) (University of Oxford). 25 indexed citations
5.
Kessler, Samuel, Vu Nguyen, Stefan Zohren, & Stephen Roberts. (2021). Hierarchical Indian buffet neural networks for Bayesian continual learning. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
6.
Nguyen, Vu, Florian Vigneau, Leon C. Camenzind, et al.. (2020). Quantum device fine-tuning using unsupervised embedding learning. New Journal of Physics. 22(9). 95003–95003. 18 indexed citations
7.
Nguyen, Vu, et al.. (2020). Resolving heterogeneity in transcranial electrical stimulation efficacy for attention deficit hyperactivity disorder. Experimental Neurology. 337. 113586–113586. 10 indexed citations
8.
Nguyen, Vu, Binh Thai Pham, Indra Prakash, et al.. (2019). Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling. Forests. 10(2). 157–157. 134 indexed citations
9.
Kessler, Samuel, Vu Nguyen, Stefan Zohren, & Stephen Roberts. (2019). Indian Buffet Neural Networks for Continual Learning. arXiv (Cornell University). 2 indexed citations
10.
Gupta, Sunil, et al.. (2018). Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. Own your potential (DEAKIN). 31. 1–9. 4 indexed citations
11.
Nguyen, Vu, Sunil Gupta, Santu Rana, Cheng Li, & Svetha Venkatesh. (2017). Regret for expected improvement over the best-observed value and stopping condition. Figshare. 279–294. 19 indexed citations
12.
Rana, Santu, Cheng Li, Sunil Gupta, Vu Nguyen, & Svetha Venkatesh. (2017). High Dimensional Bayesian Optimization with Elastic Gaussian Process. Own your potential (DEAKIN). 2883–2891. 26 indexed citations
13.
Nguyen, Khanh, Trung Le, Vu Nguyen, Tu Dinh Nguyen, & Dinh Phung. (2016). Multiple Kernel Learning with Data Augmentation. Own your potential (DEAKIN). 49–64. 8 indexed citations
14.
Le, Trung, et al.. (2016). Budgeted semi-supervised support vector machine. Deakin Research Online (Deakin University). 377–386. 11 indexed citations
15.
Nguyen, Vu, Sunil Gupta, Santu Rana, Cheng Li, & Svetha Venkatesh. (2016). A Bayesian Nonparametric Approach for Multi-label Classification. Own your potential (DEAKIN). 254–269. 6 indexed citations
16.
Nguyen, Tu Dinh, et al.. (2016). Dual Space Gradient Descent for Online Learning. Deakin Research Online (Deakin University). 29. 4583–4591. 9 indexed citations
17.
Le, Trung, Vu Nguyen, Tu Dinh Nguyen, & Dinh Phung. (2016). Nonparametric budgeted stochastic gradient descent. Own your potential (DEAKIN). 564–572. 14 indexed citations
18.
Nguyen, Vu, Dinh Phung, Santu Rana, Duc-Son Pham, & Svetha Venkatesh. (2012). Multi-modal abnormality detection in video with unknown data segmentation. Deakin Research Online (Deakin University). 3 indexed citations
19.
Nguyen, Vu, et al.. (2011). Efficient image segmentation incorporating photometric and geometric information. Deakin Research Online (Deakin University). 529–533. 4 indexed citations
20.
Thornton, J R, et al.. (2009). Offline Cursive Character Recognition: A state of the art comparison. Griffith Research Online (Griffith University, Queensland, Australia). 7 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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