Du Q. Huynh

3.3k total citations · 1 hit paper
79 papers, 2.0k citations indexed

About

Du Q. Huynh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Du Q. Huynh has authored 79 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 10 papers in Aerospace Engineering. Recurrent topics in Du Q. Huynh's work include Advanced Vision and Imaging (30 papers), Video Surveillance and Tracking Methods (28 papers) and Human Pose and Action Recognition (23 papers). Du Q. Huynh is often cited by papers focused on Advanced Vision and Imaging (30 papers), Video Surveillance and Tracking Methods (28 papers) and Human Pose and Action Recognition (23 papers). Du Q. Huynh collaborates with scholars based in Australia, United States and Sweden. Du Q. Huynh's co-authors include Mark Reynolds, Hao Xue, Arif Mahmood, Hossein Rahmani, Ajmal Mian, Robyn Owens, Peter Hartmann, Lei Wang, Mohammed Bennamoun and Piotr Koniusz and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Molecular Sciences.

In The Last Decade

Du Q. Huynh

77 papers receiving 1.9k citations

Hit Papers

Metrics for 3D Rotations: Comparison and Analysis 2009 2026 2014 2020 2009 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
Du Q. Huynh Australia 22 1.3k 482 310 281 271 79 2.0k
Yanfeng Wang China 24 1.4k 1.0× 1.0k 2.1× 189 0.6× 95 0.3× 262 1.0× 134 2.4k
C. Papageorgiou United States 10 2.7k 2.0× 607 1.3× 273 0.9× 272 1.0× 169 0.6× 17 3.1k
Hongkai Yu United States 22 1.3k 1.0× 438 0.9× 383 1.2× 196 0.7× 65 0.2× 85 1.9k
Ming Liang China 21 808 0.6× 357 0.7× 214 0.7× 121 0.4× 89 0.3× 73 1.8k
Xiaobo Lu China 26 1.6k 1.2× 300 0.6× 194 0.6× 147 0.5× 107 0.4× 194 2.4k
Wu Liu China 32 2.9k 2.1× 750 1.6× 168 0.5× 171 0.6× 811 3.0× 139 3.5k
Runsheng Xu United States 19 967 0.7× 428 0.9× 550 1.8× 236 0.8× 87 0.3× 39 2.1k
Jin Xie China 31 1.9k 1.4× 427 0.9× 119 0.4× 317 1.1× 127 0.5× 117 2.8k
Cláudio R. Jung Brazil 23 1.3k 1.0× 431 0.9× 201 0.6× 118 0.4× 60 0.2× 95 1.8k
Xiaoyu Wang China 24 2.4k 1.8× 748 1.6× 142 0.5× 329 1.2× 198 0.7× 143 3.2k

Countries citing papers authored by Du Q. Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Du Q. Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Du Q. Huynh. 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 Du Q. Huynh. The network helps show where Du Q. Huynh may publish in the future.

Co-authorship network of co-authors of Du Q. Huynh

This figure shows the co-authorship network connecting the top 25 collaborators of Du Q. Huynh. A scholar is included among the top collaborators of Du Q. Huynh 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 Du Q. Huynh. Du Q. Huynh 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.
Bi, Tingting, et al.. (2025). DocSpiral: A Platform for Integrated Assistive Document Annotation through Human-in-the-Spiral. UWA Profiles and Research Repository (UWA). 267–274.
2.
Tanner, John J., Yusen Wu, Du Q. Huynh, et al.. (2024). Non-hemolytic peptide classification using a quantum support vector machine. Quantum Information Processing. 23(11). 3 indexed citations
3.
Acevedo‐Rocha, Carlos G., Wei Liu, Du Q. Huynh, et al.. (2024). Metabolic Fluxes Using Deep Learning Based on Enzyme Variations: Application to Glycolysis in Entamoeba histolytica. International Journal of Molecular Sciences. 25(24). 13390–13390. 1 indexed citations
4.
Huynh, Du Q., et al.. (2020). A Vision-Based Pipeline for Vehicle Counting, Speed Estimation, and Classification. IEEE Transactions on Intelligent Transportation Systems. 22(12). 7547–7560. 58 indexed citations
5.
Huynh, Du Q., et al.. (2019). A supervised learning framework: using assessment to identify students at risk of dropping out of a MOOC. Journal of Computing in Higher Education. 32(1). 9–26. 37 indexed citations
6.
Huynh, Du Q., et al.. (2019). A Quest for a One-Size-Fits-All Neural Network: Early Prediction of Students at Risk in Online Courses. IEEE Transactions on Learning Technologies. 12(2). 171–183. 34 indexed citations
7.
Wang, Lei, Piotr Koniusz, & Du Q. Huynh. (2019). Hallucinating Bag-of-Words and Fisher Vector IDT terms for CNN-based Action Recognition.. arXiv (Cornell University). 4 indexed citations
8.
Wang, Lei, Du Q. Huynh, & Moussa Reda Mansour. (2019). Loss Switching Fusion with Similarity Search for Video Classification. ANU Open Research (Australian National University). 20 indexed citations
9.
Xue, Hao, Du Q. Huynh, & Mark Reynolds. (2018). SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction. UWA Profiles and Research Repository (University of Western Australia). 1186–1194. 274 indexed citations
10.
Barnes, Michael P., et al.. (2018). MLC positioning verification for small fields: a new investigation into automatic EPID-based verification methods. Australasian Physical & Engineering Sciences in Medicine. 41(4). 945–955. 1 indexed citations
11.
Huynh, Du Q., et al.. (2018). Toward Occlusion Handling in Visual Tracking via Probabilistic Finite State Machines. IEEE Transactions on Cybernetics. 50(4). 1726–1738. 14 indexed citations
12.
Mahmood, Arif, et al.. (2015). Constrained Metric Learning by Permutation Inducing Isometries. IEEE Transactions on Image Processing. 25(1). 92–103. 4 indexed citations
13.
Huynh, Du Q., et al.. (2012). Boosted Particle Swarm Optimization of Gabor Filter Feature Vector. UWA Profiles and Research Repository (University of Western Australia). 35. 1–7. 1 indexed citations
14.
Huynh, Du Q., Zhengqiang Jiang, William Moran, & S. Challa. (2011). Appearance and motion based data association for pedestrian tracking. 459–464. 4 indexed citations
15.
Jiang, Zhengqiang, Du Q. Huynh, William Moran, & Subhash Challa. (2011). Tracking pedestrians using smoothed colour histograms in an interacting multiple model framework. 35. 2313–2316. 11 indexed citations
16.
Huynh, Du Q., et al.. (2009). Evaluation of three local descriptors on low resolution images for robot navigation. UWA Profiles and Research Repository (UWA). 2. 113–118. 12 indexed citations
17.
Huynh, Du Q. & Anders Heyden. (2008). Recursive structure and motion estimation from noisy uncalibrated video sequences. Proceedings - International Conference on Pattern Recognition. 33. 1–5. 1 indexed citations
18.
Wedge, Daniel, Du Q. Huynh, & Peter Kovesi. (2007). Using Space-Time Interest Points for Video Sequence Synchronization. Machine Vision and Applications. 190–194. 15 indexed citations
19.
Huynh, Du Q., Anders Heyden, & S. Khan. (2002). A Scheme for Combining Auto-calibration and Scene Constraints. UWA Profiles and Research Repository (University of Western Australia). 436–441. 3 indexed citations
20.
Newsam, Garry N., et al.. (1996). Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 21 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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