Yuanwei Liu

Electrical and Electronic Engineering · 2015–2023

A researcher in the Science corpus: 18 papers; trusts 112 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 412 citations into it; #1,421 of 16,539 by trust here, #3,308 by citations
• Aerospace Engineering — 188 citations into it; #2,468 of 6,421 by trust here, #1,320 by citations
• Computer Networks and Communications — 107 citations into it; #4,366 of 9,886 by trust here, #2,927 by citations
• Artificial Intelligence — 23 citations into it
• Ocean Engineering — 20 citations into it
• Computational Mechanics — 13 citations into it
• Reinforcement Learning — 13 citations into it
• Genetics — 12 citations into it

Whom Yuanwei Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zhiguo Ding
2. Rui Zhang
3. Qingqing Wu
4. Chongwen Huang
5. Arnold Neumaier
6. H. Vincent Poor
7. Shuowen Zhang
8. Yong Zeng
9. Xianghao Yu
10. Zhengju Yang

Who trusts Yuanwei Liu overall

1. Xidong Mu
2. Zhiguo Ding
3. Xinwei Yue
4. Zhijin Qin
5. Robert Schober
6. Jiaqi Xu
7. Yunlong Cai
8. Xingwang Li
9. Tianwei Hou
10. Zhaohui Yang

Papers from Yuanwei Liu's perspective

Ordered by how strongly the researchers Yuanwei Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. What Will 5G Be?
2. Fundamentals of Wireless Communication
3. Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming (IEEE Transactions on Wireless Communications)
4. Wireless Communications Through Reconfigurable Intelligent Surfaces (IEEE Access)
5. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (IEEE Journal on Selected Topics in Signal Processing)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Spatially Sparse Precoding in Millimeter Wave MIMO Systems (IEEE Transactions on Wireless Communications)
8. Information Theory: 1948-1998 - Guest Editorial
9. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (IEEE Transactions on Wireless Communications)
10. Five disruptive technology directions for 5G

Their papers

• Nonorthogonal Multiple Access for 5G and Beyond (2017) — 1,011 citations
• Application of Non-Orthogonal Multiple Access in LTE and 5G Networks (2015) — 1,769 citations
• Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019) — 376 citations
• Cooperative Non-orthogonal Multiple Access With Simultaneous Wireless Information and Power Transfer (2015) — 847 citations
• Nonorthogonal Multiple Access in Large-Scale Underlay Cognitive Radio Networks (2016) — 321 citations
• Reconfigurable Intelligent Surface Aided NOMA Networks (2019) — 338 citations
• Simultaneously Transmitting And Reflecting (STAR) RIS Aided Wireless Communications (2021) — 878 citations
• Reconfigurable Intelligent Surfaces: Principles and Opportunities (2020) — 1,741 citations
• STAR: Simultaneous Transmission and Reflection for 360° Coverage by Intelligent Surfaces (2021) — 666 citations
• Enhancing the Physical Layer Security of Non-Orthogonal Multiple Access in Large-Scale Networks (2016) — 553 citations
• Near-Field Communications: A Tutorial Review (2023) — 632 citations
• Reconfigurable Intelligent Surfaces for Wireless Communications: Overview of Hardware Designs, Channel Models, and Estimation Techniques (2022) — 354 citations
• Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks (2018) — 539 citations
• STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces (2021) — 512 citations
• Exploiting Full/Half-Duplex User Relaying in NOMA Systems (2018) — 335 citations
• Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021) — 551 citations
• Residual Transceiver Hardware Impairments on Cooperative NOMA Networks (2020) — 316 citations
• Trajectory Design and Power Control for Multi-UAV Assisted Wireless Networks: A Machine Learning Approach (2018) — 306 citations