Juan Luo
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Information Systems top 2%
- Cloud Computing and Resource Management
Papers in
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- Energy Efficient Wireless Sensor Networks 36
- IoT and Edge/Fog Computing 21
- Mobile Ad Hoc Networks 11
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- Underwater Vehicles and Communication Systems 10
Juan Luo
168 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Networks and Communications 1.1k
- Information Systems 428
- Electrical and Electronic Engineering 734
- Computer Vision and Pattern Recognition 233
- Industrial and Manufacturing Engineering 101
Countries citing papers authored by Juan Luo
This map shows the geographic impact of Juan 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 Juan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Luo more than expected).
Fields of papers citing papers by Juan Luo
This network shows the impact of papers produced by Juan 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 Juan Luo. The network helps show where Juan Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 29 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 26 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 18 | |
| 13 | 2019 | 103 | |
| 14 | 2018 | 48 | |
| 15 | 2018 | 5 | |
| 16 | Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing Hit paper breakdown → | 2018 | 257 |
| 17 | 2018 | 41 | |
| 18 | 2015 | 3 | |
| 19 | 2015 | 3 | |
| 20 | Energy-efficient clustering algorithm for heterogeneous sensor networks | 2011 | 1 |
About Juan Luo
Juan Luo is a scholar working on Computer Networks and Communications, Ocean Engineering, Electrical and Electronic Engineering, Information Systems and Media Technology, having authored 186 papers that have together received 2.3k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (36 papers), Indoor and Outdoor Localization Technologies (24 papers), IoT and Edge/Fog Computing (21 papers), Cloud Computing and Resource Management (13 papers), Energy Harvesting in Wireless Networks (12 papers), Mobile Ad Hoc Networks (11 papers), Underwater Vehicles and Communication Systems (10 papers) and Vehicular Ad Hoc Networks (VANETs) (9 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Information Systems (428 citations), Electrical and Electronic Engineering (734 citations), Computer Vision and Pattern Recognition (233 citations) and Industrial and Manufacturing Engineering (101 citations). Juan Luo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Luxiu Yin, Haibo Luo, Jin‐Yu Hu, Di Wu, Renfa Li, Chun Wang, Xuan Liu, Jerald S. Ault, Zhenyan Zhang and Kenli Li. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Desalination, Marine Ecology Progress Series and IEEE Transactions on Industrial Informatics.
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.