Mu Yan

524 citations
16 papers · 397 · h-index 8

Impact in

    • Software-Defined Networks and 5G
    • IoT and Edge/Fog Computing
    • Cooperative Communication and Network Coding
    • Caching and Content Delivery
    • Advanced MIMO Systems Optimization
    • Advanced Wireless Communication Technologies
    • Energy Harvesting in Wireless Networks
    • Full-Duplex Wireless Communications

Papers in

Mu Yan

12 papers receiving 388 citations

Peers

Mu Yan
Comparison fields: 5 of 33
  • Computer Networks and Communications 294
  • Electrical and Electronic Engineering 252
  • Artificial Intelligence 51
  • Media Technology 12
  • Computer Science Applications 7
Replace Lanfranco Zanzi with:
Lanfranco Zanzi Spain
Nguyễn Đình Hân Vietnam
Ramon dos Reis Fontes Brazil
Hongli He China
Pengtao Zhao China
Wonjong Noh South Korea
Hirotaka Ujikawa Japan
Piotr Gawłowicz Germany
Jinyuan Gu China
Jose A. Ayala‐Romero Spain
Mu Yan relative to Lanfranco Zanzi Spain Lanfranco Zanzi's profile →
Citations per field
00.5×2×3.3×
Lanfranco Zanzi · 1×
Citations per year

Countries citing papers authored by Mu Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 24 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.

Border = papers with Mu Yan Line = papers co-authored together Mu Yan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2019172
2 201865
3 201647
4 202039
5 201919
6 201919
7 201718
8 202110
9 20243
10 20222
11 20212
12 20251
13 20250
14 20260
15 20170
16 20250

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 16 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (7 papers), Wireless Networks and Protocols (5 papers), Software-Defined Networks and 5G (2 papers), Millimeter-Wave Propagation and Modeling (2 papers), Wireless Signal Modulation Classification (2 papers), Energy Harvesting in Wireless Networks (2 papers), Advanced Wireless Network Optimization (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Networks and Communications (294 citations), Electrical and Electronic Engineering (252 citations), Artificial Intelligence (51 citations), Media Technology (12 citations) and Computer Science Applications (7 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 Lei Zhang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Access, IEEE Sensors Journal, IEEE Internet of Things Journal and IEEE Transactions on Network and Service Management.

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.

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