Haipeng Dai
- Computer Networks and Communications top 0.5%
- Caching and Content Delivery 36
- IoT and Edge/Fog Computing 26
- Energy Efficient Wireless Sensor Networks 26
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- Energy Harvesting in Wireless Networks 80
- Wireless Power Transfer Systems 53
- Advanced MIMO Systems Optimization 22
- Media Technology top 1%
- Aerospace Engineering top 2%
- UAV Applications and Optimization 29
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- Cloud Computing and Resource Management 25
Haipeng Dai
231 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 100
- Computer Networks and Communications 2.0k
- Electrical and Electronic Engineering 2.4k
- Media Technology 324
- Aerospace Engineering 649
- Computer Science Applications 117
Countries citing papers authored by Haipeng Dai
This map shows the geographic impact of Haipeng Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Dai more than expected).
Fields of papers citing papers by Haipeng Dai
This network shows the impact of papers produced by Haipeng Dai. 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 Dai. The network helps show where Haipeng Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haipeng Dai, 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 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 27 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 7 | |
| 16 | 2021 | 41 | |
| 17 | 2021 | 52 | |
| 18 | 2021 | 89 | |
| 19 | 2019 | 25 | |
| 20 | 2019 | 19 |
About Haipeng Dai
Haipeng Dai is a scholar working on Computer Networks and Communications, Media Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 249 papers that have together received 4.3k indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (80 papers), Wireless Power Transfer Systems (53 papers), Caching and Content Delivery (36 papers), UAV Applications and Optimization (29 papers), IoT and Edge/Fog Computing (26 papers), Energy Efficient Wireless Sensor Networks (26 papers), Cloud Computing and Resource Management (25 papers) and Advanced MIMO Systems Optimization (22 papers). The work is most often cited by research in Computer Networks and Communications (2.0k citations), Electrical and Electronic Engineering (2.4k citations), Media Technology (324 citations), Aerospace Engineering (649 citations) and Computer Science Applications (117 citations). Haipeng Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guihai Chen, Alex X. Liu, Xiaobing Wu, Chao Dong, Yunhuai Liu, Tian He, Wanchun Dou, Yuben Qu, Xiaoyu Wang and Lijie Xu. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Sensor Networks and IEEE Transactions on Knowledge and Data 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.