Minghui Dai
Impact in
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- IoT and Edge/Fog Computing
Papers in
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- IoT and Edge/Fog Computing 24
- Opportunistic and Delay-Tolerant Networks 10
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- Advanced Wireless Communication Technologies 14
- Advanced MIMO Systems Optimization 7
- Co-authors
- Zhou Su (39 shared papers)Qichao Xu (19 shared papers)Yuan Wu (20 shared papers)Yuntao Wang (10 shared papers)Liping Qian (14 shared papers)Tom H. Luan (4 shared papers)Ning Zhang (2 shared papers)Ruidong Li (10 shared papers)
In The Last Decade
Minghui Dai
55 papers receiving 1.1k citations
Minghui Dai's Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 532
- Computer Science Applications 76
- Aerospace Engineering 340
- Industrial and Manufacturing Engineering 102
- Information Systems 174
Countries citing papers authored by Minghui Dai
This map shows the geographic impact of Minghui 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 Minghui Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Dai more than expected).
Fields of papers citing papers by Minghui Dai
This network shows the impact of papers produced by Minghui 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 Minghui Dai. The network helps show where Minghui Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghui 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
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Hit paper breakdown → | 2023 | 169 |
| 2 | 2021 | 102 | |
| 3 | 2022 | 74 | |
| 4 | 2022 | 72 | |
| 5 | 2021 | 49 | |
| 6 | 2021 | 44 | |
| 7 | 2019 | 43 | |
| 8 | 2020 | 42 | |
| 9 | 2020 | 35 | |
| 10 | 2022 | 32 | |
| 11 | 2020 | 29 | |
| 12 | 2022 | 28 | |
| 13 | 2023 | 28 | |
| 14 | 2023 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2022 | 20 | |
| 17 | 2018 | 20 | |
| 18 | 2022 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2020 | 18 |
About Minghui Dai
Minghui Dai is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence and Ocean Engineering, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (24 papers), UAV Applications and Optimization (19 papers), Privacy-Preserving Technologies in Data (16 papers), Advanced Wireless Communication Technologies (14 papers), Opportunistic and Delay-Tolerant Networks (10 papers), Advanced MIMO Systems Optimization (7 papers), Mobile Crowdsensing and Crowdsourcing (6 papers) and Underwater Vehicles and Communication Systems (5 papers). The work is most often cited by research in Computer Networks and Communications (532 citations), Computer Science Applications (76 citations), Aerospace Engineering (340 citations), Industrial and Manufacturing Engineering (102 citations) and Information Systems (174 citations). Minghui Dai has collaborated with scholars based in China, Macao and Canada. Frequent co-authors include Zhou Su, Qichao Xu, Yuan Wu, Yuntao Wang, Liping Qian, Tom H. Luan, Ning Zhang, Ruidong Li, Bin Lin and Yiliang Liu. Their work appears in journals such as IEEE Network, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Vehicular Technology.
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.