Trung X. Pham

1.1k total citations · 1 hit paper
17 papers, 573 citations indexed

About

Trung X. Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Trung X. Pham has authored 17 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Trung X. Pham's work include Domain Adaptation and Few-Shot Learning (7 papers), Image and Signal Denoising Methods (3 papers) and Advanced Neural Network Applications (3 papers). Trung X. Pham is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Image and Signal Denoising Methods (3 papers) and Advanced Neural Network Applications (3 papers). Trung X. Pham collaborates with scholars based in South Korea, China and United States. Trung X. Pham's co-authors include Chang D. Yoo, Junyeong Kim, Keon Jae Lee, Young-Hoon Jung, Hyunsin Park, Jae Hyun Han, Sunghun Kang, Seong Kwang Hong, Hee Seung Wang and In So Kweon and has published in prestigious journals such as Advanced Materials, Nano Energy and IEEE Access.

In The Last Decade

Trung X. Pham

16 papers receiving 559 citations

Hit Papers

align trajectories

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.

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

2019 288 citations Young-Hoon Jung, Seong Kwang Hong et al. Advanced Materials profile →

Peers

Trung X. Pham

BE

CVPR

CN

EEE

AI

Junyeong Kim South Korea

Sunghun Kang South Korea

Hyunsin Park South Korea

Yin Bi United Kingdom

Cheng Chi China

Changan Wang China

Tianqi Jin China

Ju Han South Korea

Xiu Ma China

Chien‐Hung Lin Taiwan

Junyeong Kim South Korea

Trung X. Pham

251 ×0.8

BE

146 ×1.0

CVPR

97 ×0.8

CN

88 ×0.8

EEE

97 ×1.0

AI

Citations per year, relative to Trung X. Pham Trung X. Pham (= 1×) peers Junyeong Kim

Countries citing papers authored by Trung X. Pham

Since Specialization

Citations

This map shows the geographic impact of Trung X. 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 X. 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 X. Pham more than expected).

Fields of papers citing papers by Trung X. Pham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trung X. Pham

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

All Works

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17 of 17 papers shown

1.

Pham, Trung X., et al.. (2025). ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On. 28284–28294.

2.

Pham, Trung X., Jinqiu Sun, Yu Zhu, et al.. (2024). ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. IEEE Transactions on Broadcasting. 70(2). 492–504. 33 indexed citations

3.

Pham, Trung X., et al.. (2024). Learning From Multi-Perception Features for Real-Word Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6535–6548. 5 indexed citations

4.

Pham, Trung X., et al.. (2023). DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access. 11. 21534–21545. 6 indexed citations

5.

Pham, Trung X., et al.. (2023). CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. 615–619. 21 indexed citations

6.

Pham, Trung X., et al.. (2023). Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access. 11. 116706–116720. 1 indexed citations

7.

Zhang, Chaoning, et al.. (2022). Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14421–14430. 24 indexed citations

8.

Pham, Trung X., et al.. (2022). LAD: A Hybrid Deep Learning System for Benign Paroxysmal Positional Vertigo Disorders Diagnostic. IEEE Access. 10. 113995–114007. 4 indexed citations

9.

Jung, Young-Hoon, Trung X. Pham, Dias Issa, et al.. (2022). Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing. Nano Energy. 101. 107610–107610. 57 indexed citations

10.

Luu, Tung M., et al.. (2021). Robust Maml: Prioritization Task Buffer with Adaptive Learning Process for Model-Agnostic Meta-Learning. arXiv (Cornell University). 3460–3464. 11 indexed citations

11.

Kim, Junyeong, Minuk Ma, Trung X. Pham, Kyungsu Kim, & Chang D. Yoo. (2020). Modality Shifting Attention Network for Multi-Modal Video Question Answering. 10103–10112. 55 indexed citations

12.

Jung, Young-Hoon, Seong Kwang Hong, Hee Seung Wang, et al.. (2020). Speech Recognition: Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing (Adv. Mater. 35/2020). Advanced Materials. 32(35). 13 indexed citations

13.

Lee, Dong‐Hoon, Hyunsin Park, Trung X. Pham, & Chang D. Yoo. (2020). Learning Augmentation Network via Influence Functions. 10958–10967. 12 indexed citations

14.

Jung, Young-Hoon, Seong Kwang Hong, Hee Seung Wang, et al.. (2019). Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing. Advanced Materials. 32(35). e1904020–e1904020. 288 indexed citations breakdown →

15.

Vu, Thang, et al.. (2019). Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution. arXiv (Cornell University). 32. 1430–1440. 33 indexed citations

16.

Pham, Trung X., et al.. (2017). Implementation of a Refusable Human-Robot Interaction Task with Humanoid Robot by Connecting Soar and ROS. The Journal of Korea Robotics Society. 12(1). 55–64. 5 indexed citations

17.

Lee, Gi‐Dong, et al.. (2016). Identification of In-Home Appliances through Analysis of Current Consumption. 1–5. 5 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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