Thu Nguyen-Phuoc

991 total citations
12 papers, 362 citations indexed

About

Thu Nguyen-Phuoc is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Thu Nguyen-Phuoc has authored 12 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 7 papers in Computational Mechanics and 6 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Thu Nguyen-Phuoc's work include Advanced Vision and Imaging (7 papers), 3D Shape Modeling and Analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Thu Nguyen-Phuoc is often cited by papers focused on Advanced Vision and Imaging (7 papers), 3D Shape Modeling and Analysis (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). Thu Nguyen-Phuoc collaborates with scholars based in United States, United Kingdom and Canada. Thu Nguyen-Phuoc's co-authors include Christian Richardt, Yong‐Liang Yang, Lucas Theis, Chuan Li, Chuan Li, Lei Xiao, Feng Liu, Zhengqin Li, Michael A. Fischer and Niloy J. Mitra and has published in prestigious journals such as ACM Transactions on Graphics, Computer Graphics Forum and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Thu Nguyen-Phuoc

9 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thu Nguyen-Phuoc United States 6 317 175 140 27 18 12 362
Ang Cao United States 5 213 0.7× 130 0.7× 82 0.6× 17 0.6× 15 0.8× 11 273
Utkarsh Sinha India 3 278 0.9× 174 1.0× 144 1.0× 11 0.4× 12 0.7× 9 330
Abhimitra Meka United States 9 278 0.9× 165 0.9× 99 0.7× 28 1.0× 18 1.0× 13 352
Ruizhi Shao China 9 269 0.8× 127 0.7× 162 1.2× 14 0.5× 17 0.9× 20 327
Zhaoyang Lv United States 7 257 0.8× 118 0.7× 83 0.6× 40 1.5× 14 0.8× 14 333
Basile Van Hoorick United States 3 218 0.7× 139 0.8× 127 0.9× 14 0.5× 30 1.7× 3 310
Bill Freeman United States 10 244 0.8× 73 0.4× 85 0.6× 80 3.0× 13 0.7× 19 302
Konstantinos Rematas Germany 11 340 1.1× 124 0.7× 55 0.4× 33 1.2× 29 1.6× 20 378
Giacomo Meanti Italy 3 181 0.6× 122 0.7× 82 0.6× 10 0.4× 11 0.6× 3 228
Ondřej Jamriška Czechia 10 333 1.1× 250 1.4× 150 1.1× 11 0.4× 13 0.7× 12 409

Countries citing papers authored by Thu Nguyen-Phuoc

Since Specialization
Citations

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

Fields of papers citing papers by Thu Nguyen-Phuoc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thu Nguyen-Phuoc

This figure shows the co-authorship network connecting the top 25 collaborators of Thu Nguyen-Phuoc. A scholar is included among the top collaborators of Thu Nguyen-Phuoc 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 Thu Nguyen-Phuoc. Thu Nguyen-Phuoc 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.
Keeler, T. A., et al.. (2025). Learning Fast 3D Gaussian Splatting Rendering using Continuous Level of Detail. Computer Graphics Forum. 44(2).
2.
Khan, Numair, Zhengqin Li, Thu Nguyen-Phuoc, et al.. (2025). GauFRe: Gaussian Deformation Fields for Real-Time Dynamic Novel View Synthesis. 2642–2652. 6 indexed citations
3.
Xiao, Lei, Christian Richardt, Thu Nguyen-Phuoc, et al.. (2025). Geometry-guided Online 3D Video Synthesis with Multi-View Temporal Consistency. 11275–11285.
5.
Fischer, Michael A., et al.. (2024). NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs. 4640–4650. 4 indexed citations
6.
Yeh, Yu-Ying, Jia‐Bin Huang, Chang-Il Kim, et al.. (2024). TextureDreamer: Image-Guided Texture Synthesis through Geometry-Aware Diffusion. 4304–4314. 6 indexed citations
7.
Pérez, Juan C., Thu Nguyen-Phuoc, Chen Cao, et al.. (2024). StyleAvatar: Stylizing Animatable Head Avatars. TECNALIA Publications (Fundación TECNALIA Research & Innovation). 8663–8672. 1 indexed citations
8.
Nguyen-Phuoc, Thu, Feng Liu, & Lei Xiao. (2022). SNeRF. ACM Transactions on Graphics. 41(4). 1–11. 49 indexed citations
9.
Mustikovela, Siva Karthik, Shalini De Mello, Umar Iqbal, et al.. (2021). Self-Supervised Object Detection via Generative Image Synthesis. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6 indexed citations
10.
Nguyen-Phuoc, Thu, Christian Richardt, Long Mai, Yongliang Yang, & Niloy J. Mitra. (2020). BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images. Pure (University of Bath). 33. 6767–6778. 5 indexed citations
11.
Nguyen-Phuoc, Thu, Chuan Li, Lucas Theis, Christian Richardt, & Yong‐Liang Yang. (2019). HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. Pure (University of Bath). 7587–7596. 195 indexed citations
12.
Nguyen-Phuoc, Thu, Chuan Li, Lucas Theis, Christian Richardt, & Yong‐Liang Yang. (2019). HoloGAN: Unsupervised Learning of 3D Representations From Natural Images. 2037–2040. 90 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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