Trung X. Pham

1.1k citations
17 papers · 573 indexed · 1 hit paper · h-index 10
Topics
Domain Adaptation and Few-Shot Learning (7 papers)Image and Signal Denoising Methods (3 papers)Advanced Neural Network Applications (3 papers)

In The Last Decade

Trung X. Pham

16 papers receiving 559 citations

Hit Papers

Flexible Piezoelectric Acoustic Sensors and Machine Learn...2019202620212023201950100150200250

Peers

Trung X. Pham
Comparison fields: 5 of 79
  • Biomedical Engineering 298
  • Computer Vision and Pattern Recognition 153
  • Cognitive Neuroscience 116
  • Electrical and Electronic Engineering 115
  • Artificial Intelligence 96
Replace Yin Bi with:
Yin Bi United Kingdom
Cheng Chi China
Guoyu Zuo China
Changan Wang China
Kyungseo Park South Korea
Ju Han South Korea
Hyunsin Park South Korea
Byong‐Deok Choi South Korea
Dong Ma China
Md. Foisal Hossain Bangladesh
Trung X. Pham relative to Yin Bi United Kingdom Yin Bi's profile →
Citations per field
00.5×1.7×
Yin Bi · 1×
Citations per year

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

17 of 17 papers shown
#WorkIndexed citations
1 0
2 33
3 5
4 6
5 21
6 1
7 24
8 4
9 57
10 11
11 55
12 13
13 12
14
Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processingbreakdown →
288
15 33
16 5
17 5

About Trung X. Pham

Trung X. Pham is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction, having authored 17 papers that have together received 573 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Image and Signal Denoising Methods (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (153 citations), Biomedical Engineering (298 citations) and Polymers and Plastics (84 citations). Trung X. Pham has collaborated with scholars based in South Korea, China and United States. Frequent 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. Their work appears in journals such as Advanced Materials, Nano Energy and IEEE Access.

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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