Toan Duc Bui

683 total citations
18 papers, 208 citations indexed

About

Toan Duc Bui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Toan Duc Bui has authored 18 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Toan Duc Bui's work include Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Toan Duc Bui is often cited by papers focused on Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Toan Duc Bui collaborates with scholars based in South Korea, United States and China. Toan Duc Bui's co-authors include Jitae Shin, Taesup Moon, Li Wang, Gang Li, Dinggang Shen, Jaehoon Jeong, Weili Lin, Jian Chen, Hyunjin Park and Zhengwang Wu and has published in prestigious journals such as Pattern Recognition, Electronics Letters and Biomedical Signal Processing and Control.

In The Last Decade

Toan Duc Bui

18 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toan Duc Bui South Korea 8 85 56 41 37 35 18 208
Pengyi Hao China 10 113 1.3× 93 1.7× 47 1.1× 68 1.8× 8 0.2× 38 307
Nripendra Kumar Singh India 3 63 0.7× 60 1.1× 47 1.1× 78 2.1× 5 0.1× 4 210
Benjamin Hou United Kingdom 8 77 0.9× 131 2.3× 51 1.2× 111 3.0× 5 0.1× 16 310
Helena R. Torres Portugal 10 140 1.6× 106 1.9× 83 2.0× 69 1.9× 2 0.1× 47 302
Le Ding China 6 101 1.2× 93 1.7× 50 1.2× 68 1.8× 19 258
Mingyu Kim South Korea 7 53 0.6× 184 3.3× 105 2.6× 103 2.8× 3 0.1× 14 372
Loïc Le Folgoc United Kingdom 6 64 0.8× 73 1.3× 40 1.0× 39 1.1× 5 0.1× 10 166
Félix Paulano‐Godino Spain 7 45 0.5× 128 2.3× 119 2.9× 69 1.9× 6 0.2× 19 329
Tanushree Meena India 7 62 0.7× 133 2.4× 71 1.7× 100 2.7× 15 291
Wasit Limprasert Thailand 7 32 0.4× 112 2.0× 56 1.4× 142 3.8× 4 0.1× 18 348

Countries citing papers authored by Toan Duc Bui

Since Specialization
Citations

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

Fields of papers citing papers by Toan Duc Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toan Duc Bui. 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 Toan Duc Bui. The network helps show where Toan Duc Bui may publish in the future.

Co-authorship network of co-authors of Toan Duc Bui

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

All Works

18 of 18 papers shown
1.
Wei, Jie, Zhengwang Wu, Li Wang, et al.. (2021). A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling. Pattern Recognition. 124. 108420–108420. 18 indexed citations
2.
3.
Bui, Toan Duc, Li Wang, Weili Lin, Gang Li, & Dinggang Shen. (2020). 6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. PubMed. 2020. 359–362. 5 indexed citations
4.
Bui, Toan Duc, et al.. (2019). Incorporated region detection and classification using deep convolutional networks for bone age assessment. Artificial Intelligence in Medicine. 97. 1–8. 61 indexed citations
5.
Bui, Toan Duc, Li Wang, Jian Chen, et al.. (2019). Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance. Lecture notes in computer science. 11795. 243–251. 19 indexed citations
6.
Bui, Toan Duc, et al.. (2019). Performance of Ensemble Methods with 2D Pre-trained Deep Learning Networks for 3D MRI Brain Segmentation. International Journal of Information and Electronics Engineering. 9(2). 50–53. 1 indexed citations
7.
Bui, Toan Duc, Jitae Shin, & Taesup Moon. (2019). Skip-connected 3D DenseNet for volumetric infant brain MRI segmentation. Biomedical Signal Processing and Control. 54. 101613–101613. 39 indexed citations
8.
Bui, Toan Duc, et al.. (2019). Compression And Intensity Modules For Brain MRI Segmentation. 6. 719–722. 1 indexed citations
9.
Bui, Toan Duc, et al.. (2018). Skipped-Hierarchical Feature Pyramid Networks for Nuclei Instance Segmentation. 689–693. 3 indexed citations
10.
Bui, Toan Duc, et al.. (2018). Pedestrian Detection based on Deep Fusion Network using Feature Correlation. 694–699. 14 indexed citations
11.
Bui, Toan Duc, et al.. (2018). Neural-network-based Impulse Noise Removal Using Group-based Weighted Couple Sparse Representation. KSII Transactions on Internet and Information Systems. 12(8). 1 indexed citations
12.
Bui, Toan Duc, et al.. (2017). A stable clustering algorithm based on affinity propagation for VANETs. 501–504. 13 indexed citations
13.
14.
Bui, Toan Duc, et al.. (2017). Analysis of decoding probability for systematic wireless network coding. Electronics Letters. 53(14). 964–966. 1 indexed citations
15.
Bui, Toan Duc, et al.. (2017). Content-aware RaptorQ. 206–209. 1 indexed citations
16.
Bui, Toan Duc, et al.. (2017). Efficient data uploading based on network coding in LTE-Advanced heterogeneous networks. 34. 252–257. 7 indexed citations
17.
Bui, Toan Duc, et al.. (2016). Fully automated, level set-based segmentation for knee MRIs using an adaptive force function and template: data from the osteoarthritis initiative. BioMedical Engineering OnLine. 15(1). 99–99. 17 indexed citations
18.
Bui, Toan Duc, et al.. (2016). Unsupervised segmentation of noisy and inhomogeneous images using global region statistics with non-convex regularization. Digital Signal Processing. 57. 13–33. 2 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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