Tri Nguyen Dang
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Choong Seon HongS. M. Ahsan KazmiYan Kyaw TunZhu HanNguyen H. TranVanDung NguyenRasheed HussainIbrar Yaqoob
- Topics
- IoT and Edge/Fog Computing (11 papers)Vehicular Ad Hoc Networks (VANETs) (5 papers)Caching and Content Delivery (4 papers)
- Journals
- IEEE AccessIEEE Transactions on Vehicular TechnologyIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Tri Nguyen Dang
18 papers receiving 411 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 285
- Electrical and Electronic Engineering 138
- Information Systems 97
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 76
Countries citing papers authored by Tri Nguyen Dang
This map shows the geographic impact of Tri Nguyen Dang'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 Tri Nguyen Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tri Nguyen Dang more than expected).
Fields of papers citing papers by Tri Nguyen Dang
This network shows the impact of papers produced by Tri Nguyen Dang. 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 Tri Nguyen Dang. The network helps show where Tri Nguyen Dang may publish in the future.
Co-authorship network of co-authors of Tri Nguyen Dang
This figure shows the co-authorship network connecting the top 25 collaborators of Tri Nguyen Dang. A scholar is included among the top collaborators of Tri Nguyen Dang 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 Tri Nguyen Dang. Tri Nguyen Dang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 47 | |
| 2 | 18 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 45 | |
| 6 | 8 | |
| 7 | 25 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 45 | |
| 12 | 65 | |
| 13 | 42 | |
| 14 | A Dynamic Algorithm for Computational Offloading in Fog Computing | 1 |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 19 | |
| 18 | 45 |
About Tri Nguyen Dang
Tri Nguyen Dang is a scholar working on Computer Networks and Communications, Automotive Engineering and Electrical and Electronic Engineering, having authored 18 papers that have together received 421 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (285 citations), Information Systems (97 citations) and Automotive Engineering (48 citations). Tri Nguyen Dang has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Choong Seon Hong, S. M. Ahsan Kazmi, Yan Kyaw Tun, Zhu Han, Nguyen H. Tran, VanDung Nguyen, Rasheed Hussain, Ibrar Yaqoob, Aunas Manzoor and Walid Saad. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.
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.