Bac Nguyen

414 total citations
12 papers, 320 citations indexed

About

Bac Nguyen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Bac Nguyen has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 2 papers in Molecular Biology. Recurrent topics in Bac Nguyen's work include Face and Expression Recognition (8 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Algorithms (3 papers). Bac Nguyen is often cited by papers focused on Face and Expression Recognition (8 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning and Algorithms (3 papers). Bac Nguyen collaborates with scholars based in Belgium, Cuba and France. Bac Nguyen's co-authors include Bernard De Baets, Carlos Morell, Francesc J. Ferri, Frederiek‐Maarten Kerckhof, Michiel Stock, Nico Boon, Eric Stienen, Peter Rubbens, Wouter Courtens and Willem Waegeman and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Sciences.

In The Last Decade

Bac Nguyen

12 papers receiving 314 citations

Peers

Bac Nguyen
Timur Garipov Russia
Chunhua Shen Australia
Langming Liu China
Yuanlong Shao China
Chenjie Cao China
Zhenyong Fu China
Chao Yuan China
Shasha Mao China
Rebecca Roelofs United States
Benteng Ma China
Timur Garipov Russia
Bac Nguyen
Citations per year, relative to Bac Nguyen Bac Nguyen (= 1×) peers Timur Garipov

Countries citing papers authored by Bac Nguyen

Since Specialization
Citations

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

Fields of papers citing papers by Bac Nguyen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bac Nguyen

This figure shows the co-authorship network connecting the top 25 collaborators of Bac Nguyen. A scholar is included among the top collaborators of Bac 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 Bac Nguyen. Bac Nguyen 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
1.
Nguyen, Bac & Bernard De Baets. (2020). Improved deep embedding learning based on stochastic symmetric triplet loss and local sampling. Neurocomputing. 402. 209–219. 8 indexed citations
2.
Stock, Michiel, et al.. (2020). Otolith identification using a deep hierarchical classification model. Computers and Electronics in Agriculture. 180. 105883–105883. 8 indexed citations
3.
Nguyen, Bac & Bernard De Baets. (2019). Kernel-Based Distance Metric Learning for Supervised $k$ -Means Clustering. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 3084–3095. 48 indexed citations
4.
Nguyen, Bac, Peter Rubbens, Frederiek‐Maarten Kerckhof, et al.. (2019). Learning Single‐Cell Distances from Cytometry Data. Cytometry Part A. 95(7). 782–791. 4 indexed citations
5.
Nguyen, Bac, Carlos Morell, & Bernard De Baets. (2018). Scalable Large-Margin Distance Metric Learning Using Stochastic Gradient Descent. IEEE Transactions on Cybernetics. 50(3). 1072–1083. 23 indexed citations
6.
Nguyen, Bac & Bernard De Baets. (2018). An approach to supervised distance metric learning based on difference of convex functions programming. Pattern Recognition. 81. 562–574. 26 indexed citations
7.
Nguyen, Bac & Bernard De Baets. (2018). Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification. IEEE Transactions on Image Processing. 28(2). 589–600. 33 indexed citations
8.
Nguyen, Bac, Francesc J. Ferri, Carlos Morell, & Bernard De Baets. (2018). An efficient method for clustered multi-metric learning. Information Sciences. 471. 149–163. 23 indexed citations
9.
Nguyen, Bac, Carlos Morell, & Bernard De Baets. (2017). Distance metric learning with the Universum. Pattern Recognition Letters. 100. 37–43. 8 indexed citations
10.
Nguyen, Bac, Carlos Morell, & Bernard De Baets. (2017). Distance metric learning for ordinal classification based on triplet constraints. Knowledge-Based Systems. 142. 17–28. 30 indexed citations
11.
Nguyen, Bac, Carlos Morell, & Bernard De Baets. (2016). Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing. 214. 805–814. 46 indexed citations
12.
Nguyen, Bac, Carlos Morell, & Bernard De Baets. (2016). Supervised distance metric learning through maximization of the Jeffrey divergence. Pattern Recognition. 64. 215–225. 63 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