Mingjun Wang
Impact in
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- Advanced Authentication Protocols Security
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Artificial Intelligence top 5%
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
Papers in
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- Cryptography and Data Security 9
- Privacy-Preserving Technologies in Data 8
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- Advanced Authentication Protocols Security 5
- Co-authors
- Zheng Yan (16 shared papers)Athanasios V. Vasilakos (2 shared papers)Xueyun Li (1 shared paper)Yonglong Luo (1 shared paper)Jie Cui (1 shared paper)Xingyuan Wang (4 shared papers)Hong Zhong (1 shared paper)Valtteri Niemi (2 shared papers)
In The Last Decade
Mingjun Wang
34 papers receiving 790 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 438
- Artificial Intelligence 364
- Information Systems 246
- Signal Processing 57
- Electrical and Electronic Engineering 247
Countries citing papers authored by Mingjun Wang
This map shows the geographic impact of Mingjun Wang'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 Mingjun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Wang more than expected).
Fields of papers citing papers by Mingjun Wang
This network shows the impact of papers produced by Mingjun Wang. 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 Mingjun Wang. The network helps show where Mingjun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingjun Wang, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 103 | |
| 2 | 2016 | 84 | |
| 3 | 2019 | 79 | |
| 4 | 2022 | 71 | |
| 5 | 2017 | 64 | |
| 6 | 2016 | 59 | |
| 7 | 2015 | 53 | |
| 8 | 2017 | 43 | |
| 9 | 2021 | 33 | |
| 10 | 2014 | 25 | |
| 11 | 2017 | 23 | |
| 12 | 2010 | 23 | |
| 13 | 2011 | 18 | |
| 14 | 2015 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 16 | |
| 17 | Self-Healing Grid and Distributed Energy Resource | 2007 | 14 |
| 18 | 2013 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2019 | 9 |
About Mingjun Wang
Mingjun Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 816 indexed citations. Recurring topics across this work include Cryptography and Data Security (9 papers), Privacy-Preserving Technologies in Data (8 papers), Advanced Authentication Protocols Security (5 papers), Wireless Communication Security Techniques (4 papers), Cloud Data Security Solutions (3 papers), Blockchain Technology Applications and Security (2 papers), Wireless Body Area Networks (2 papers) and Chaos control and synchronization (2 papers). The work is most often cited by research in Computer Networks and Communications (438 citations), Artificial Intelligence (364 citations), Information Systems (246 citations), Signal Processing (57 citations) and Electrical and Electronic Engineering (247 citations). Mingjun Wang has collaborated with scholars based in China, Finland and Sweden. Frequent co-authors include Zheng Yan, Athanasios V. Vasilakos, Xueyun Li, Yonglong Luo, Jie Cui, Xingyuan Wang, Hong Zhong, Valtteri Niemi, Yuxiang Li and Bin Song. Their work appears in journals such as IEEE Internet of Things Journal, Mobile Networks and Applications, Power System Technology, IEEE Transactions on Industrial Informatics and IEEE Transactions on Cloud Computing.
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.