Haipeng Yao
Impact in
- Computer Networks and Communications top 0.2%
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Caching and Content Delivery
- Opportunistic and Delay-Tolerant Networks
- Aerospace Engineering top 0.5%
- UAV Applications and Optimization
- Satellite Communication Systems
Papers in
-
- Software-Defined Networks and 5G 59
- IoT and Edge/Fog Computing 52
- Caching and Content Delivery 24
- Opportunistic and Delay-Tolerant Networks 23
-
- Satellite Communication Systems 41
- UAV Applications and Optimization 25
- Co-authors
- Chunxiao JiangJingjing WangPeiying ZhangF. Richard YuYunjie LiuTianle MaiSong GuoChao Qiu
In The Last Decade
Haipeng Yao
206 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Computer Networks and Communications 3.9k
- Aerospace Engineering 1.5k
- Information Systems 1.1k
- Electrical and Electronic Engineering 2.1k
- Artificial Intelligence 1.0k
Countries citing papers authored by Haipeng Yao
This map shows the geographic impact of Haipeng Yao'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 Haipeng Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Yao more than expected).
Fields of papers citing papers by Haipeng Yao
This network shows the impact of papers produced by Haipeng Yao. 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 Haipeng Yao. The network helps show where Haipeng Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Haipeng Yao, 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 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 18 | |
| 10 | 2024 | 29 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 32 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 61 | |
| 15 | Multi-UAV-Enabled Load-Balance Mobile-Edge Computing for IoT Networks Hit paper breakdown → | 2020 | 279 |
| 16 | 2020 | 29 | |
| 17 | 2019 | 19 | |
| 18 | 2019 | 58 | |
| 19 | 2019 | 143 | |
| 20 | 2019 | 22 |
About Haipeng Yao
Haipeng Yao is a scholar working on Computer Networks and Communications, Aerospace Engineering, Electrical and Electronic Engineering, Information Systems and Artificial Intelligence, having authored 230 papers that have together received 5.7k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (59 papers), IoT and Edge/Fog Computing (52 papers), Satellite Communication Systems (41 papers), UAV Applications and Optimization (25 papers), Caching and Content Delivery (24 papers), Opportunistic and Delay-Tolerant Networks (23 papers), Blockchain Technology Applications and Security (22 papers) and Optical Network Technologies (21 papers). The work is most often cited by research in Computer Networks and Communications (3.9k citations), Aerospace Engineering (1.5k citations), Information Systems (1.1k citations), Electrical and Electronic Engineering (2.1k citations) and Artificial Intelligence (1.0k citations). Haipeng Yao has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Chunxiao Jiang, Jingjing Wang, Peiying Zhang, F. Richard Yu, Yunjie Liu, Tianle Mai, Song Guo, Chao Qiu, Mohsen Guizani and Fangmin Xu. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Network and Optics Express.
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.