Ningwei Dai
Impact in
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- Caching and Content Delivery
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
Papers in
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- Caching and Content Delivery 5
- Advanced Data Storage Technologies 5
- IoT and Edge/Fog Computing 2
- Distributed systems and fault tolerance 2
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- Cloud Computing and Resource Management 2
- Co-authors
- Zeqi Lai (7 shared papers)Yong Cui (5 shared papers)Yang Hu (2 shared papers)Linhui Sun (2 shared papers)Xin Wang (2 shared papers)Congcong Miao (1 shared paper)Minming Li (2 shared papers)Yuchi Chen (2 shared papers)
- Journals
- IEEE Transactions on Mobile Computing (2 papers)IEEE/ACM Transactions on Networking (1 paper)IEEE Network (1 paper)IEEE Conference Proceedings (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ningwei Dai
8 papers receiving 368 citations
Peers
Comparison fields: 5 of 41
- Computer Networks and Communications 213
- Human-Computer Interaction 46
- Computer Vision and Pattern Recognition 160
- Computer Graphics and Computer-Aided Design 22
- Signal Processing 54
Countries citing papers authored by Ningwei Dai
This map shows the geographic impact of Ningwei 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 Ningwei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ningwei Dai more than expected).
Fields of papers citing papers by Ningwei Dai
This network shows the impact of papers produced by Ningwei 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 Ningwei Dai. The network helps show where Ningwei Dai may publish in the future.
Co-authors
The 12 scholars most cited alongside Ningwei 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 | 2017 | 118 | |
| 2 | 2019 | 117 | |
| 3 | 2015 | 50 | |
| 4 | 2017 | 33 | |
| 5 | 2019 | 18 | |
| 6 | 2016 | 15 | |
| 7 | 2016 | 15 | |
| 8 | 2015 | 5 |
About Ningwei Dai
Ningwei Dai is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Hardware and Architecture and Signal Processing, having authored 8 papers that have together received 371 indexed citations. Recurring topics across this work include Caching and Content Delivery (5 papers), Advanced Data Storage Technologies (5 papers), Cloud Computing and Resource Management (2 papers), IoT and Edge/Fog Computing (2 papers), Distributed systems and fault tolerance (2 papers), Image and Video Quality Assessment (2 papers), Cloud Computing and Remote Desktop Technologies (1 paper) and Video Coding and Compression Technologies (1 paper). The work is most often cited by research in Computer Networks and Communications (213 citations), Human-Computer Interaction (46 citations), Computer Vision and Pattern Recognition (160 citations), Computer Graphics and Computer-Aided Design (22 citations) and Signal Processing (54 citations). Ningwei Dai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zeqi Lai, Yong Cui, Yang Hu, Linhui Sun, Xin Wang, Congcong Miao, Minming Li, Yuchi Chen, Zhenhua Li and Kui Ren. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Network and IEEE Conference Proceedings.
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.