Min Peng
Impact in
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- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Network Security and Intrusion Detection
- Information Systems top 10%
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 3
- Software-Defined Networks and 5G 2
- Energy Efficient Wireless Sensor Networks 1
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- Blockchain Technology Applications and Security 3
- Co-authors
- Hui Lin (6 shared papers)Zhiyang Li (1 shared paper)M. Shamim Hossain (3 shared papers)Yulei Wu (1 shared paper)Sahil Garg (3 shared papers)Georges Kaddoum (2 shared papers)Jia Hu (2 shared papers)Shangyuan Feng (1 shared paper)
- Journals
- Future Generation Computer Systems (1 paper)IEEE Transactions on Intelligent Transportation Systems (1 paper)IEEE Transactions on Industrial Informatics (1 paper)Biosensors and Bioelectronics (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaSaudi ArabiaCanada
In The Last Decade
Min Peng
7 papers receiving 332 citations
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 182
- Information Systems 92
- Computer Science Applications 15
- Artificial Intelligence 82
- Biophysics 12
Countries citing papers authored by Min Peng
This map shows the geographic impact of Min Peng'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 Min Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Peng more than expected).
Fields of papers citing papers by Min Peng
This network shows the impact of papers produced by Min Peng. 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 Min Peng. The network helps show where Min Peng may publish in the future.
Co-authors
The 14 scholars most cited alongside Min Peng, 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 | 2019 | 114 | |
| 2 | 2022 | 76 | |
| 3 | 2020 | 58 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 23 | |
| 6 | 2020 | 20 | |
| 7 | 2013 | 1 | |
| 8 | 2020 | 0 |
About Min Peng
Min Peng is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Science Applications and Molecular Biology, having authored 8 papers that have together received 338 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (3 papers), Blockchain Technology Applications and Security (3 papers), Privacy-Preserving Technologies in Data (3 papers), Software-Defined Networks and 5G (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers), Fire Detection and Safety Systems (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Computer Networks and Communications (182 citations), Information Systems (92 citations), Computer Science Applications (15 citations), Artificial Intelligence (82 citations) and Biophysics (12 citations). Min Peng has collaborated with scholars based in China, Saudi Arabia and Canada. Frequent co-authors include Hui Lin, Zhiyang Li, M. Shamim Hossain, Yulei Wu, Sahil Garg, Georges Kaddoum, Jia Hu, Shangyuan Feng, Duo Lin and Tong Chen. Their work appears in journals such as Future Generation Computer Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Industrial Informatics, Biosensors and Bioelectronics and IEEE Access.
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.