Nan Zhao
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- Cooperative Communication and Network Coding 7
- IoT and Edge/Fog Computing 4
- Age of Information Optimization 4
- Aerospace Engineering top 5%
- UAV Applications and Optimization 4
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- Advanced MIMO Systems Optimization 7
- Full-Duplex Wireless Communications 6
- Wireless Communication Security Techniques 4
- Artificial Intelligence top 5%
- Privacy-Preserving Technologies in Data 5
- Co-authors
- Yiyang PeiYing‐Chang LiangDusit NiyatoYunhao JiangZhiyang YeMinghu WuZehua LiuSiqi Liu
In The Last Decade
Nan Zhao
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 547
- Aerospace Engineering 332
- Control and Systems Engineering 205
- Electrical and Electronic Engineering 458
- Artificial Intelligence 245
Countries citing papers authored by Nan Zhao
This map shows the geographic impact of Nan Zhao'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 Nan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Zhao more than expected).
Fields of papers citing papers by Nan Zhao
This network shows the impact of papers produced by Nan Zhao. 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 Nan Zhao. The network helps show where Nan Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan Zhao, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 41 | |
| 11 | 2022 | 1 | |
| 12 | Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computingbreakdown → | 2022 | 268 |
| 13 | 2022 | 14 | |
| 14 | 2021 | 0 | |
| 15 | 2020 | 49 | |
| 16 | Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networksbreakdown → | 2019 | 335 |
| 17 | 2018 | 52 | |
| 18 | 2017 | 0 | |
| 19 | 2016 | 7 | |
| 20 | 2008 | 4 |
About Nan Zhao
Nan Zhao is a scholar working on Computer Networks and Communications, Computer Science Applications and Signal Processing, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (7 papers), Advanced MIMO Systems Optimization (7 papers), Full-Duplex Wireless Communications (6 papers), Privacy-Preserving Technologies in Data (5 papers), Wireless Communication Security Techniques (4 papers), IoT and Edge/Fog Computing (4 papers), UAV Applications and Optimization (4 papers) and Age of Information Optimization (4 papers). The work is most often cited by research in Computer Networks and Communications (547 citations), Aerospace Engineering (332 citations) and Control and Systems Engineering (205 citations). Nan Zhao has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Yiyang Pei, Ying‐Chang Liang, Dusit Niyato, Yunhao Jiang, Zhiyang Ye, Minghu Wu, Zehua Liu, Siqi Liu, Minghu Wu and Wei Xiong. Their work appears in journals such as IEEE Access, Frontiers in Microbiology and Information Sciences.
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.