Cong Phuoc Huynh

31 papers receiving 428 citations

Peers

Cong Phuoc Huynh
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 275
  • Media Technology 137
  • Atomic and Molecular Physics, and Optics 62
  • Biomedical Engineering 58
  • Computer Networks and Communications 47
Replace Yi Wan with:
Yi Wan China
Yuanhao Gong China
Seoung Wug Oh United States
Yuting Yang China
Antony Lam Japan
José Gabriel R. C. Gomes Brazil
Tsung-Jung Liu Taiwan
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Dennis F. Dunn United States
Cong Phuoc Huynh relative to Yi Wan China Yi Wan's profile →
Citations per field
00.5×4.1×
Yi Wan · 1×
Citations per year

Countries citing papers authored by Cong Phuoc Huynh

Since Specialization
Citations

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

Fields of papers citing papers by Cong Phuoc Huynh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Phuoc Huynh

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Phuoc Huynh. A scholar is included among the top collaborators of Cong Phuoc 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 Cong Phuoc Huynh. Cong Phuoc 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
#WorkIndexed citations
1 0
2 0
3 15
4 14
5 15
6 22
7
Paint condition assessment of civil structures using hyper-spectral imaging
1
8 21
9 12
10 3
11 15
12 36
13
Radio diversity for reliable communication in WSNs
38
14
Demo abstract: Radio-diversity collection tree protocol
2
15 2
16 12
17 33
18 1
19 7
20 3

About Cong Phuoc Huynh

Cong Phuoc Huynh is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Analytical Chemistry, having authored 33 papers that have together received 443 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Color Science and Applications (7 papers) and Image and Signal Denoising Methods (6 papers). The work is most often cited by research in Media Technology (137 citations), Computer Vision and Pattern Recognition (275 citations) and Computer Graphics and Computer-Aided Design (32 citations). Cong Phuoc Huynh has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Antonio Robles‐Kelly, Fatih Porikli, Edwin R. Hancock, Saeed Anwar, Tiantong Guo, King Ngi Ngan, Yu Zhang, Branislav Kusý, Wen Hu and Michael Brünig. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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