Duc Tran
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
Papers in
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- Network Security and Intrusion Detection 6
- Software-Defined Networks and 5G 5
- IoT and Edge/Fog Computing 3
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- Internet Traffic Analysis and Secure E-voting 4
- Co-authors
- Hai Anh Tran (10 shared papers)Van Tong (6 shared papers)Abdelhamid Mellouk (2 shared papers)Sami Souihi (1 shared paper)Trung Thanh Le (1 shared paper)Thị Phương Linh Nguyễn (1 shared paper)Cong Doanh Duong (1 shared paper)Hung N. Pham (1 shared paper)
- Journals
- International Journal of Sensor Networks (2 papers)IEEE Communications Letters (1 paper)Neurocomputing (1 paper)IEEE Intelligent Systems (1 paper)IEEE/ACM Transactions on Networking (1 paper)
- Partner nations
- VietnamUnited StatesFrance
In The Last Decade
Duc Tran
24 papers receiving 277 citations
Peers
Comparison fields: 5 of 60
- Signal Processing 117
- Computer Networks and Communications 190
- Artificial Intelligence 141
- Business and International Management 8
- Information Systems 65
Countries citing papers authored by Duc Tran
This map shows the geographic impact of Duc Tran'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 Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc Tran more than expected).
Fields of papers citing papers by Duc Tran
This network shows the impact of papers produced by Duc Tran. 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 Tran. The network helps show where Duc Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc Tran, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2017 | 43 | |
| 3 | 2021 | 20 | |
| 4 | 2019 | 17 | |
| 5 | 2018 | 10 | |
| 6 | 2020 | 8 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 3 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Duc Tran
Duc Tran is a scholar working on Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 27 papers that have together received 286 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Software-Defined Networks and 5G (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), IoT and Edge/Fog Computing (3 papers), Video Surveillance and Tracking Methods (3 papers), Advanced Malware Detection Techniques (3 papers), Advanced Neural Network Applications (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Signal Processing (117 citations), Computer Networks and Communications (190 citations), Artificial Intelligence (141 citations), Business and International Management (8 citations) and Information Systems (65 citations). Duc Tran has collaborated with scholars based in Vietnam, United States and France. Frequent co-authors include Hai Anh Tran, Van Tong, Abdelhamid Mellouk, Sami Souihi, Trung Thanh Le, Thị Phương Linh Nguyễn, Cong Doanh Duong, Hung N. Pham, Huỳnh Thị Thanh Bình and Hang T. Ta. Their work appears in journals such as International Journal of Sensor Networks, IEEE Communications Letters, Neurocomputing, IEEE Intelligent Systems and IEEE/ACM Transactions on Networking.
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.