Trung Pham

2.3k total citations · 1 hit paper
34 papers, 1.0k citations indexed

About

Trung Pham is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Trung Pham has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Trung Pham's work include Robotics and Sensor-Based Localization (6 papers), Image and Object Detection Techniques (5 papers) and Advanced Vision and Imaging (5 papers). Trung Pham is often cited by papers focused on Robotics and Sensor-Based Localization (6 papers), Image and Object Detection Techniques (5 papers) and Advanced Vision and Imaging (5 papers). Trung Pham collaborates with scholars based in Australia, United States and Singapore. Trung Pham's co-authors include Ian Reid, Tat-Jun Chin, David Suter, Yasir Latif, Niko Sünderhauf, Aleks Terauds, Lian Pin Koh, Shane M. Baylis, Rowan Mott and Adam D. Kilpatrick and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, JNCI Journal of the National Cancer Institute and IEEE Transactions on Image Processing.

In The Last Decade

Trung Pham

30 papers receiving 1.0k citations

Hit Papers

Drones count wildlife more accurately and precisely than ... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Drones count wildlife more accurately and precisely than humans
    2018 324 citations Jarrod C. Hodgson, Rowan Mott et al. Methods in Ecology and Evolution profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trung Pham Australia 13 393 293 228 150 132 34 1.0k
Jonathan Byrne Ireland 16 140 0.4× 223 0.8× 130 0.6× 90 0.6× 126 1.0× 38 1.1k
Zehua Huang China 13 991 2.5× 102 0.3× 133 0.6× 157 1.0× 19 0.1× 16 1.8k
Fengying Xie China 21 855 2.2× 103 0.4× 211 0.9× 122 0.8× 18 0.1× 68 1.8k
Tania Stathaki United Kingdom 21 930 2.4× 199 0.7× 99 0.4× 106 0.7× 31 0.2× 129 1.8k
Eric N. Mortensen United States 15 1.3k 3.4× 208 0.7× 59 0.3× 40 0.3× 40 0.3× 28 1.9k
Jing Xie China 22 81 0.2× 53 0.2× 191 0.8× 132 0.9× 8 0.1× 70 1.2k
Domenico D. Bloisi Italy 20 522 1.3× 208 0.7× 82 0.4× 46 0.3× 17 0.1× 59 1.2k
Adel Hafiane France 22 456 1.2× 76 0.3× 462 2.0× 217 1.4× 13 0.1× 70 1.9k
Tsung‐Yu Lin United States 9 1.3k 3.4× 102 0.3× 178 0.8× 52 0.3× 15 0.1× 13 2.0k
Bo Zhao China 23 956 2.4× 46 0.2× 108 0.5× 64 0.4× 18 0.1× 93 1.9k

Countries citing papers authored by Trung Pham

Since Specialization
Citations

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

Fields of papers citing papers by Trung Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trung Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Trung Pham. A scholar is included among the top collaborators of Trung 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 Trung Pham. Trung Pham 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.
Pham, Trung, et al.. (2024). Enhanced deep learning-based water area segmentation for flood detection and monitoring. Machine Learning Science and Technology. 5(4). 45025–45025. 1 indexed citations
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Pham, Trung, Wanli Jiang, Mehdi S. M. Sajjadi, et al.. (2024). NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving. 7361–7370. 1 indexed citations
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Zheng, Yang, et al.. (2023). DPPD: Deformable Polar Polygon Object Detection. 78–87. 3 indexed citations
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Tan, Hon Sen, et al.. (2022). Long-term morbidities following unintentional dural puncture in obstetric patients: A systematic review and meta-analysis. Journal of Clinical Anesthesia. 79. 110787–110787. 17 indexed citations
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Pham, Trung, Gustavo A. Lobos, & Cristian Vidal-Silva. (2019). Innovación en Minería de Datos para el Tratamiento de Imágenes: Agrupamiento K-media para Conjuntos de Datos de Forma Alargada y su Aplicación en la Agroindustria. Información tecnológica. 30(2). 135–142. 3 indexed citations
11.
Hodgson, Jarrod C., Rowan Mott, Shane M. Baylis, et al.. (2018). Drones count wildlife more accurately and precisely than humans. Methods in Ecology and Evolution. 9(5). 1160–1167. 324 indexed citations breakdown →
12.
Hosseinzadeh, Mehdi, Yasir Latif, Trung Pham, Niko Suenderhauf, & Ian Reid. (2018). Towards Semantic SLAM: Points, Planes and Objects. arXiv (Cornell University). 4 indexed citations
13.
Do, Thanh-Toan, Trung Pham, Ming Cai, & Ian Reid. (2018). Real-time monocular object instance 6D pose estimation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 13 indexed citations
14.
Do, Thanh-Toan, Trung Pham, Ming Cai, & Ian Reid. (2018). LieNet: Real-time Monocular Object Instance 6D Pose Estimation.. British Machine Vision Conference. 2. 7 indexed citations
15.
Sünderhauf, Niko, Trung Pham, Yasir Latif, Michael Milford, & Ian Reid. (2017). Meaningful maps – Object-oriented semantic mapping. QUT ePrints (Queensland University of Technology). 148 indexed citations
16.
Tran, Toan, Trung Pham, Gustavo Carneiro, Lyle J. Palmer, & Ian Reid. (2017). A Bayesian data augmentation approach for learning deep models. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 30. 2797–2806. 57 indexed citations
17.
Pham, Trung, Tat-Jun Chin, Konrad Schindler, & David Suter. (2014). Interacting Geometric Priors For Robust Multimodel Fitting. IEEE Transactions on Image Processing. 23(10). 4601–4610. 40 indexed citations
18.
Pham, Trung, Tat-Jun Chin, Jin Yu, & David Suter. (2012). The Random Cluster Model for robust geometric fitting. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 710–717. 13 indexed citations
19.
Pham, Trung, Tat-Jun Chin, Jin Yu, & David Suter. (2011). Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 24. 540–548. 12 indexed citations
20.
Vortmeyer, Alexander O., Irina A. Lubensky, Maria J. Merino, et al.. (1997). Concordance of Genetic Alterations in Poorly Differentiated Colorectal Neuroendocrine Carcinomas and Associated Adenocarcinomas. JNCI Journal of the National Cancer Institute. 89(19). 1448–1453. 136 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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