Chi-Hieu Pham

626 total citations
14 papers, 377 citations indexed

About

Chi-Hieu Pham is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Information Systems. According to data from OpenAlex, Chi-Hieu Pham has authored 14 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computational Mechanics and 2 papers in Information Systems. Recurrent topics in Chi-Hieu Pham's work include Sparse and Compressive Sensing Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). Chi-Hieu Pham is often cited by papers focused on Sparse and Compressive Sensing Techniques (5 papers), Image and Signal Denoising Methods (4 papers) and Advanced Image Processing Techniques (4 papers). Chi-Hieu Pham collaborates with scholars based in France, Vietnam and South Korea. Chi-Hieu Pham's co-authors include François Rousseau, Ronan Fablet, Aurélien Ducournau, Carlos Tor-Díez, Nathalie Bednarek, Nicolas Passat, Hélène Meunier, Saïd Ladjal, Alasdair Newson and Guillaume Dollé and has published in prestigious journals such as Sensors, Computer Methods and Programs in Biomedicine and Computers in Biology and Medicine.

In The Last Decade

Chi-Hieu Pham

12 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chi-Hieu Pham France 7 247 150 84 42 38 14 377
Carlos Tor-Díez France 6 127 0.5× 103 0.7× 29 0.3× 32 0.8× 28 0.7× 7 242
Jinglong Du China 12 262 1.1× 114 0.8× 69 0.8× 83 2.0× 40 1.1× 39 433
Mahmut Yurt United States 6 202 0.8× 296 2.0× 34 0.4× 112 2.7× 96 2.5× 17 497
Lavdie Rada Türkiye 8 384 1.6× 295 2.0× 64 0.8× 37 0.9× 29 0.8× 26 564
Sameera V. Mohd Sagheer India 6 217 0.9× 110 0.7× 104 1.2× 46 1.1× 74 1.9× 11 329
Puyang Wang United States 10 213 0.9× 200 1.3× 49 0.6× 167 4.0× 73 1.9× 13 475
Michel Kocher Switzerland 11 266 1.1× 77 0.5× 52 0.6× 42 1.0× 41 1.1× 21 415
Worku Jifara China 5 132 0.5× 54 0.4× 68 0.8× 43 1.0× 37 1.0× 7 212
S. Prima France 6 175 0.7× 86 0.6× 33 0.4× 23 0.5× 39 1.0× 7 303

Countries citing papers authored by Chi-Hieu Pham

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Hieu Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Hieu Pham. 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 Chi-Hieu Pham. The network helps show where Chi-Hieu Pham may publish in the future.

Co-authorship network of co-authors of Chi-Hieu Pham

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

All Works

14 of 14 papers shown
1.
Benoit, Didier, et al.. (2025). Fast operating room scattered radiation calculation in x-ray guided interventions by using deep learning. Journal of Radiological Protection. 45(4). 41524–41524.
2.
3.
Pham, Chi-Hieu, et al.. (2023). Unsupervised Learning of Disentangled Representation via Auto-Encoding: A Survey. Sensors. 23(4). 2362–2362. 13 indexed citations
4.
Pham, Chi-Hieu, et al.. (2023). Extension of physical activity recognition with 3D CNN using encrypted multiple sensory data to federated learning based on multi-key homomorphic encryption. Computer Methods and Programs in Biomedicine. 243. 107854–107854. 6 indexed citations
5.
Pham, Chi-Hieu, et al.. (2023). Privacy Preserving Encoder Classifier for Access Control Based on Face Recognition. 1–5. 1 indexed citations
6.
Pham, Chi-Hieu, Saïd Ladjal, & Alasdair Newson. (2022). PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks. Journal of Mathematical Imaging and Vision. 64(5). 569–585. 17 indexed citations
7.
Pham, Chi-Hieu, Carlos Tor-Díez, Guillaume Dollé, et al.. (2020). SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI. Computers in Biology and Medicine. 120. 103755–103755. 49 indexed citations
8.
Pham, Chi-Hieu, Carlos Tor-Díez, Hélène Meunier, et al.. (2019). Multiscale brain MRI super-resolution using deep 3D convolutional networks. Computerized Medical Imaging and Graphics. 77. 101647–101647. 119 indexed citations
9.
Pham, Chi-Hieu, Carlos Tor-Díez, Hélène Meunier, et al.. (2019). Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. SPIRE - Sciences Po Institutional REpository. 10 indexed citations
10.
Tor-Díez, Carlos, Chi-Hieu Pham, Hélène Meunier, et al.. (2019). Evaluation of cortical segmentation pipelines on clinical neonatal MRI data. PubMed. 2019. 6553–6556. 2 indexed citations
11.
Pham, Chi-Hieu, Aurélien Ducournau, Ronan Fablet, & François Rousseau. (2017). Brain MRI super-resolution using deep 3D convolutional networks. HAL (Le Centre pour la Communication Scientifique Directe). 197–200. 147 indexed citations
12.
Huynh‐The, Thien, Sungyoung Lee, Chi-Hieu Pham, & Thuong Le-Tien. (2014). A DWT-based image watermarking approach using quantization on filtered blocks. 86. 280–285. 4 indexed citations
13.
Le-Tien, Thuong & Chi-Hieu Pham. (2014). An Approach for Efficient Detection of Cephalometric Landmarks. Procedia Computer Science. 37. 293–300. 8 indexed citations
14.
Le-Tien, Thuong, et al.. (2013). Using the histogram of oriented gradients for detecting cephalometric landmarks. 1. 580–585. 1 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