Hung T. Le

33 papers receiving 330 citations

Peers

Hung T. Le
Comparison fields: 5 of 45
  • Signal Processing 230
  • Computer Vision and Pattern Recognition 297
  • Computer Networks and Communications 120
  • Sociology and Political Science 83
  • Horticulture 1
Replace Haakon Riiser with:
Haakon Riiser Norway
Aditya Mavlankar United States
Vittorio Palmisano Italy
Yixuan Ban China
Kevin Spiteri United States
Pierpaolo Baccichet United States
Lan Xie China
Osama Abboud Germany
Zahaib Akhtar United States
Stefan Holmer Italy
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Citations per field
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Citations per year

Countries citing papers authored by Hung T. Le

Since Specialization
Citations

This map shows the geographic impact of Hung T. Le'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 Hung T. Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung T. Le more than expected).

Fields of papers citing papers by Hung T. Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung T. Le. 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 Hung T. Le. The network helps show where Hung T. Le may publish in the future.

Co-authors

The 25 scholars most cited alongside Hung T. Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hung T. Le Line = papers co-authored together Hung T. Le links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014108
2 201346
3 201336
4 201626
5 201610
6 201810
7 20139
8 20159
9 20168
10 20157
11 20186
12 20146
13 20166
14 19856
15 20215
16 20155
17 20214
18 20174
19 20213
20 20163

About Hung T. Le

Hung T. Le is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Sociology and Political Science, Computer Networks and Communications and Geology, having authored 33 papers that have together received 339 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (22 papers), Video Coding and Compression Technologies (15 papers), Advanced Data Compression Techniques (13 papers), Multimedia Communication and Technology (7 papers), 3D Surveying and Cultural Heritage (3 papers), Network Traffic and Congestion Control (3 papers), Peer-to-Peer Network Technologies (2 papers) and BIM and Construction Integration (2 papers). The work is most often cited by research in Signal Processing (230 citations), Computer Vision and Pattern Recognition (297 citations), Computer Networks and Communications (120 citations), Sociology and Political Science (83 citations) and Horticulture (1 citation). Hung T. Le has collaborated with scholars based in Vietnam, Japan and South Korea. Frequent co-authors include Truong Cong Thang, Anh T. Pham, Yong Man Ro, Nam Pham Ngoc, Duc V. Nguyen, Jung Won Kang, Tuấn Anh Vũ, Hoan Nguyen Xuan, Hoa Le Minh and Huyen T. T. Tran. Their work appears in journals such as Journal of Communications and Networks, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Journal on Selected Areas in Communications and Computer Speech & Language.

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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