Duc-Hung Le
Impact in
- Hardware and Architecture top 10%
- Network Packet Processing and Optimization
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- IoT and Edge/Fog Computing
Papers in
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- Algorithms and Data Compression 8
- Cryptographic Implementations and Security 6
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- Network Packet Processing and Optimization 11
- Embedded Systems Design Techniques 6
- Co-authors
- Cong‐Kha Pham (39 shared papers)Hong‐Linh Truong (7 shared papers)Schahram Dustdar (6 shared papers)Stefan Nastić (3 shared papers)Sanjin Sehic (1 shared paper)Trong-Thuc Hoang (21 shared papers)Katsumi Inoue (13 shared papers)B. Tu (1 shared paper)
In The Last Decade
Duc-Hung Le
53 papers receiving 351 citations
Peers
Comparison fields: 5 of 68
- Hardware and Architecture 70
- Computer Networks and Communications 159
- Signal Processing 53
- Information Systems 97
- Artificial Intelligence 94
Countries citing papers authored by Duc-Hung Le
This map shows the geographic impact of Duc-Hung 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 Duc-Hung Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc-Hung Le more than expected).
Fields of papers citing papers by Duc-Hung Le
This network shows the impact of papers produced by Duc-Hung 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 Duc-Hung Le. The network helps show where Duc-Hung Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc-Hung Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 95 | |
| 2 | 2012 | 33 | |
| 3 | 2016 | 28 | |
| 4 | 2015 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2014 | 16 | |
| 7 | 2012 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2013 | 8 | |
| 12 | 2016 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2015 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2023 | 4 |
About Duc-Hung Le
Duc-Hung Le is a scholar working on Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 368 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (12 papers), Network Packet Processing and Optimization (11 papers), Digital Filter Design and Implementation (9 papers), Numerical Methods and Algorithms (8 papers), Algorithms and Data Compression (8 papers), CCD and CMOS Imaging Sensors (8 papers), Embedded Systems Design Techniques (6 papers) and Cryptographic Implementations and Security (6 papers). The work is most often cited by research in Hardware and Architecture (70 citations), Computer Networks and Communications (159 citations), Signal Processing (53 citations), Information Systems (97 citations) and Artificial Intelligence (94 citations). Duc-Hung Le has collaborated with scholars based in Vietnam, Japan and Austria. Frequent co-authors include Cong‐Kha Pham, Hong‐Linh Truong, Schahram Dustdar, Stefan Nastić, Sanjin Sehic, Trong-Thuc Hoang, Katsumi Inoue, B. Tu, Masahiro Sowa and Nanjangud C. Narendra. Their work appears in journals such as IEEE Access, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, ACM Transactions on Internet Technology and Sensors.
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.