Mai Le
Impact in
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- IoT and Edge/Fog Computing
- Age of Information Optimization
- Aerospace Engineering top 10%
- UAV Applications and Optimization
Papers in
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- Network Security and Intrusion Detection 1
- Cognitive Radio Networks and Spectrum Sensing 1
- Opportunistic and Delay-Tolerant Networks 1
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- UAV Applications and Optimization 3
- Co-authors
- Won–Joo Hwang (8 shared papers)Quoc‐Viet Pham (8 shared papers)Fang Fang (2 shared papers)Zhiguo Ding (2 shared papers)Vu Nguyen Ha (1 shared paper)Long Bao Le (1 shared paper)Md. Jalil Piran (1 shared paper)Thien Huynh‐The (3 shared papers)
- Journals
- IEEE Internet of Things Journal (2 papers)IEEE Transactions on Vehicular Technology (1 paper)IEEE Transactions on Consumer Electronics (1 paper)IEEE Communications Surveys & Tutorials (1 paper)IEEE Systems Journal (1 paper)
- Partner nations
- South KoreaUnited StatesIreland
In The Last Decade
Mai Le
8 papers receiving 907 citations
Mai Le's Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 575
- Aerospace Engineering 207
- Electrical and Electronic Engineering 456
- Information Systems 154
- Artificial Intelligence 173
Countries citing papers authored by Mai Le
This map shows the geographic impact of Mai 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 Mai Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Le more than expected).
Fields of papers citing papers by Mai Le
This network shows the impact of papers produced by Mai 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 Mai Le. The network helps show where Mai Le may publish in the future.
Co-authors
The 17 scholars most cited alongside Mai 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
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Hit paper breakdown → | 2020 | 645 |
| 2 | 2022 | 116 | |
| 3 | 2022 | 78 | |
| 4 | 2024 | 41 | |
| 5 | 2022 | 27 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 5 | |
| 8 | 2024 | 3 |
About Mai Le
Mai Le is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 8 papers that have together received 928 indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (5 papers), Energy Harvesting in Wireless Networks (4 papers), UAV Applications and Optimization (3 papers), Privacy-Preserving Technologies in Data (1 paper), IoT Networks and Protocols (1 paper), Network Security and Intrusion Detection (1 paper), Cognitive Radio Networks and Spectrum Sensing (1 paper) and Opportunistic and Delay-Tolerant Networks (1 paper). The work is most often cited by research in Computer Networks and Communications (575 citations), Aerospace Engineering (207 citations), Electrical and Electronic Engineering (456 citations), Information Systems (154 citations) and Artificial Intelligence (173 citations). Mai Le has collaborated with scholars based in South Korea, United States and Ireland. Frequent co-authors include Won–Joo Hwang, Quoc‐Viet Pham, Fang Fang, Zhiguo Ding, Vu Nguyen Ha, Long Bao Le, Md. Jalil Piran, Thien Huynh‐The, Zhu Tao Han and Rukhsana Ruby. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Consumer Electronics, IEEE Communications Surveys & Tutorials and IEEE Systems Journal.
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.