Le Luo
Impact in
-
- Energy Efficient Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- Security in Wireless Sensor Networks
- Hardware and Architecture top 10%
Papers in
-
- Energy Efficient Wireless Sensor Networks 5
- Opportunistic and Delay-Tolerant Networks 3
- IoT and Edge/Fog Computing 2
- Interconnection Networks and Systems 2
-
- Parallel Computing and Optimization Techniques 2
- Co-authors
- Tarek AbdelzaherJohn A. StankovicLin GuTian HeRadu StoleruCheng‐Hsiung HuangPascal VicaireBrian Blum
- Journals
- IEEE Transactions on Emerging Topics in Computing (1 paper)PLoS ONE (1 paper)Future Generation Computer Systems (1 paper)Concurrency and Computation Practice and Experience (1 paper)Australian Journal of Electrical & Electronics Engineering (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Le Luo
9 papers receiving 364 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 347
- Hardware and Architecture 35
- Computer Vision and Pattern Recognition 96
- Software 11
- Electrical and Electronic Engineering 117
Countries citing papers authored by Le Luo
This map shows the geographic impact of Le Luo'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 Le Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Luo more than expected).
Fields of papers citing papers by Le Luo
This network shows the impact of papers produced by Le Luo. 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 Le Luo. The network helps show where Le Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Luo, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2020 | 2 | |
| 5 | 2019 | 2 | |
| 6 | 2014 | 18 | |
| 7 | 2007 | 44 | |
| 8 | Achieving Real-Time Target Tracking Using Wireless Sensor Networks | 2007 | 62 |
| 9 | 2006 | 51 | |
| 10 | 2006 | 62 | |
| 11 | 2004 | 148 |
About Le Luo
Le Luo is a scholar working on Computer Networks and Communications, Hardware and Architecture, Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Graph Theory and Algorithms (3 papers), Opportunistic and Delay-Tolerant Networks (3 papers), IoT and Edge/Fog Computing (2 papers), Interconnection Networks and Systems (2 papers), Cloud Computing and Resource Management (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (347 citations), Hardware and Architecture (35 citations), Computer Vision and Pattern Recognition (96 citations), Software (11 citations) and Electrical and Electronic Engineering (117 citations). Le Luo has collaborated with scholars based in China and United States. Frequent co-authors include Tarek Abdelzaher, John A. Stankovic, Lin Gu, Tian He, Radu Stoleru, Cheng‐Hsiung Huang, Pascal Vicaire, Brian Blum, Adrienne Wood and Sang H. Son. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computing, PLoS ONE, Future Generation Computer Systems, Concurrency and Computation Practice and Experience and Australian Journal of Electrical & Electronics Engineering.
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.