Thanh Nguyen-Duc

744 total citations · 1 hit paper
11 papers, 484 citations indexed

About

Thanh Nguyen-Duc is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Thanh Nguyen-Duc has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computational Mechanics and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Thanh Nguyen-Duc's work include Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). Thanh Nguyen-Duc is often cited by papers focused on Advanced MRI Techniques and Applications (5 papers), Sparse and Compressive Sensing Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). Thanh Nguyen-Duc collaborates with scholars based in Australia, South Korea and Vietnam. Thanh Nguyen-Duc's co-authors include Won‐Ki Jeong, Tran Minh Quan, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Peter Chan, He Zhao, John Nguyen, Trung Le and Dinh Phung and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis and Australian Critical Care.

In The Last Decade

Thanh Nguyen-Duc

10 papers receiving 474 citations

Hit Papers

Compressed Sensing MRI Re... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thanh Nguyen-Duc Australia 5 333 157 138 129 56 11 484
Burhaneddin Yaman United States 13 432 1.3× 106 0.7× 114 0.8× 78 0.6× 43 0.8× 31 603
Salman Ul Hassan Dar Türkiye 8 276 0.8× 124 0.8× 86 0.6× 27 0.2× 94 1.7× 16 452
Sathish Ramani United States 13 279 0.8× 145 0.9× 166 1.2× 150 1.2× 12 0.2× 35 491
Mahmut Yurt United States 6 296 0.9× 202 1.3× 96 0.7× 27 0.2× 112 2.0× 17 497
Taohui Xiao China 7 321 1.0× 76 0.5× 94 0.7× 57 0.4× 36 0.6× 15 383
Zhuo‐Xu Cui China 10 219 0.7× 87 0.6× 68 0.5× 92 0.7× 25 0.4× 37 326
Boris Mailhé United States 10 157 0.5× 177 1.1× 66 0.5× 122 0.9× 45 0.8× 24 394
Jinseong Jang South Korea 8 346 1.0× 117 0.7× 115 0.8× 58 0.4× 53 0.9× 17 495
Maosong Ran China 6 178 0.5× 180 1.1× 164 1.2× 37 0.3× 47 0.8× 10 399
Yunsong Liu China 7 331 1.0× 157 1.0× 197 1.4× 315 2.4× 8 0.1× 19 527

Countries citing papers authored by Thanh Nguyen-Duc

Since Specialization
Citations

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

Fields of papers citing papers by Thanh Nguyen-Duc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thanh Nguyen-Duc

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

All Works

11 of 11 papers shown
1.
2.
Nguyen-Duc, Thanh, Trung Le, He Zhao, Jianfei Cai, & Dinh Phung. (2023). Adversarial local distribution regularization for knowledge distillation. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 4670–4679. 4 indexed citations
3.
Nguyen-Duc, Thanh, He Zhao, Jianfei Cai, & Dinh Phung. (2022). MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–4. 1 indexed citations
4.
Chan, Peter, David C. Chen, Coralie Millet, et al.. (2022). Ambient intelligence–based monitoring of staff and patient activity in the intensive care unit. Australian Critical Care. 36(1). 92–98. 4 indexed citations
5.
Nguyen-Duc, Thanh, et al.. (2022). Estimation of Clinical Workload and Patient Activity Using Deep Learning and Optical Flow. IEEE Sensors Letters. 6(7). 1–4. 2 indexed citations
6.
Nguyen-Duc, Thanh, et al.. (2019). Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 670–673. 12 indexed citations
7.
Nguyen-Duc, Thanh, Tran Minh Quan, & Won‐Ki Jeong. (2019). Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection. Medical Image Analysis. 53. 179–196. 23 indexed citations
8.
Quan, Tran Minh, Thanh Nguyen-Duc, & Won‐Ki Jeong. (2018). Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss. IEEE Transactions on Medical Imaging. 37(6). 1488–1497. 421 indexed citations breakdown →
10.
Quan, Tran Minh, Thanh Nguyen-Duc, & Won‐Ki Jeong. (2017). Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks.. arXiv (Cornell University). 12 indexed citations
11.
Nguyen-Duc, Thanh, et al.. (2016). BFD-NN. 243–250.

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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