Mu Yan
Impact in
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- Software-Defined Networks and 5G
- IoT and Edge/Fog Computing
- Cooperative Communication and Network Coding
- Network Security and Intrusion Detection
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- Advanced MIMO Systems Optimization
- Advanced Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Full-Duplex Wireless Communications
Papers in ⓘ
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- Advanced MIMO Systems Optimization 7
- Advanced Wireless Network Optimization 2
- Millimeter-Wave Propagation and Modeling 2
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- Wireless Networks and Protocols 5
- Software-Defined Networks and 5G 2
- Network Security and Intrusion Detection 2
- Co-authors
- Gang Feng (9 shared papers)Jianhong Zhou (3 shared papers)Shuang Qin (7 shared papers)Yao Sun (3 shared papers)Ying‐Chang Liang (1 shared paper)Wei Cao (1 shared paper)Bolun Chen (1 shared paper)Tak-Shing Peter Yum (1 shared paper)
- Journals
- IEEE Transactions on Vehicular Technology (3 papers)IEEE Transactions on Mobile Computing (1 paper)IEEE Internet of Things Journal (1 paper)IEEE Wireless Communications Letters (1 paper)IEEE Network (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mu Yan
11 papers receiving 367 citations
Peers
Comparison fields: 5 of 32
- Computer Networks and Communications 279
- Electrical and Electronic Engineering 242
- Artificial Intelligence 47
- Computer Science Applications 7
- Media Technology 11
Countries citing papers authored by Mu Yan
This map shows the geographic impact of Mu Yan'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 Mu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Yan more than expected).
Fields of papers citing papers by Mu Yan
This network shows the impact of papers produced by Mu Yan. 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 Mu Yan. The network helps show where Mu Yan may publish in the future.
Co-authors
The 23 scholars most cited alongside Mu Yan, 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 | 162 | |
| 2 | 2018 | 62 | |
| 3 | 2016 | 45 | |
| 4 | 2020 | 36 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 19 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 2 | |
| 10 | 2022 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2017 | 0 | |
| 14 | 2025 | 0 |
About Mu Yan
Mu Yan is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Aerospace Engineering, having authored 14 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Wireless Networks and Protocols (5 papers), Wireless Signal Modulation Classification (2 papers), Advanced Wireless Network Optimization (2 papers), Biometric Identification and Security (2 papers), Millimeter-Wave Propagation and Modeling (2 papers), Software-Defined Networks and 5G (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Computer Networks and Communications (279 citations), Electrical and Electronic Engineering (242 citations), Artificial Intelligence (47 citations), Computer Science Applications (7 citations) and Media Technology (11 citations). Mu Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Gang Feng, Jianhong Zhou, Shuang Qin, Yao Sun, Ying‐Chang Liang, Wei Cao, Bolun Chen, Tak-Shing Peter Yum, Jian Yang and Muhammad Ali Imran. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, IEEE Wireless Communications Letters and IEEE Network.
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.