Marie Luong

622 total citations
44 papers, 321 citations indexed

About

Marie Luong is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Control and Systems Engineering. According to data from OpenAlex, Marie Luong has authored 44 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 18 papers in Media Technology and 5 papers in Control and Systems Engineering. Recurrent topics in Marie Luong's work include Image and Signal Denoising Methods (16 papers), Advanced Image Processing Techniques (14 papers) and Advanced Image Fusion Techniques (11 papers). Marie Luong is often cited by papers focused on Image and Signal Denoising Methods (16 papers), Advanced Image Processing Techniques (14 papers) and Advanced Image Fusion Techniques (11 papers). Marie Luong collaborates with scholars based in France, Vietnam and United States. Marie Luong's co-authors include Jean-Marie Rocchisani, Françoise Dibos, Truong Q. Nguyen, Azeddine Beghdadi, Nguyen Linh Trung, Nikolay Sirakov, Nguyễn Thành Trung, Didier Maquin, Emmanuel Viennet and José Ragot and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Pattern Recognition.

In The Last Decade

Marie Luong

40 papers receiving 300 citations

Peers

Marie Luong
M.-P. Dubuisson-Jolly United States
Steven Walton United States
Pavel Kisilev United States
Tiep H. Vu United States
Dana E. Ilea Ireland
M.-P. Dubuisson-Jolly United States
Marie Luong
Citations per year, relative to Marie Luong Marie Luong (= 1×) peers M.-P. Dubuisson-Jolly

Countries citing papers authored by Marie Luong

Since Specialization
Citations

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

Fields of papers citing papers by Marie Luong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Luong

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Luong. A scholar is included among the top collaborators of Marie Luong 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 Marie Luong. Marie Luong 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.
Sirakov, Nikolay, et al.. (2023). Embedding vector field into image features to enhance classification. Journal of Computational and Applied Mathematics. 441. 115685–115685. 2 indexed citations
2.
Trung, Nguyễn Thành, et al.. (2022). Low-dose CT image denoising using deep convolutional neural networks with extended receptive fields. Signal Image and Video Processing. 16(7). 1963–1971. 29 indexed citations
4.
Luong, Marie, et al.. (2022). Skin lesion image classification using sparse representation in quaternion wavelet domain. Signal Image and Video Processing. 16(7). 1721–1729. 7 indexed citations
5.
Luong, Marie, et al.. (2022). A No-Reference Measure for Uneven Illumination Assessment on Laparoscopic Images. 2022 IEEE International Conference on Image Processing (ICIP). 4103–4107. 2 indexed citations
6.
Trung, Nguyễn Thành, et al.. (2019). Low-Dose CT Image Denoising using Image Decomposition and Sparse Representation. 9(3-4). 6 indexed citations
7.
Luong, Marie, et al.. (2018). Sparse Representation Wavelet Based Classification. 2974–2978. 7 indexed citations
8.
Le-Tien, Thuong, et al.. (2017). Combined Zernike Moment and Multiscale Analysis for Tamper Detection in Digital Images. 41(1). 2 indexed citations
9.
Le-Tien, Thuong, et al.. (2016). A Robust Algorithm of Forgery Detection in Copy-Move and Spliced Images. International Journal of Advanced Computer Science and Applications. 7(3). 10 indexed citations
10.
Luong, Marie, et al.. (2014). Novel Example-Based Method for Super-Resolution and Denoising of Medical Images. IEEE Transactions on Image Processing. 23(4). 1882–1895. 109 indexed citations
11.
Luong, Marie, et al.. (2012). An Optimal Weight Method for CT Image Denoising. Electronic Science and Technology. 10(2). 124–129. 15 indexed citations
12.
Luong, Marie, et al.. (2012). A new perceptually adaptive method for deblocking and deringing. 533–538. 3 indexed citations
15.
Beghdadi, Azeddine, et al.. (2011). A robust-transparent watermarking scheme based on perceptual modeling. 33–38. 1 indexed citations
16.
Luong, Marie, et al.. (2011). Medical image denoising using Kernel Ridge Regression. 1597–1600. 11 indexed citations
17.
Luong, Marie, et al.. (2009). Coding artifacts reduction method based on a perceptually-weighted variational approach. 101–106. 1 indexed citations
18.
Ragot, José, Marie Luong, & Didier Maquin. (1996). Observability of systems involving flow circulation. International Journal of Mineral Processing. 47(1-2). 125–140. 2 indexed citations
19.
Maquin, Didier, et al.. (1995). Dependability and Analytical Redundancy. IFAC Proceedings Volumes. 28(12). 175–180. 3 indexed citations
20.
Maquin, Didier, Marie Luong, & José Ragot. (1994). Observability Analysis and Sensor Placement. IFAC Proceedings Volumes. 27(5). 725–730. 17 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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