Xiaojun Yuan

Electrical and Electronic Engineering · 2019

A researcher in the Science corpus: 4 papers; trusts 28 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaojun Yuan trusts overall

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

  1. Qingqing Wu
  2. Chongwen Huang
  3. Rui Zhang
  4. Sundeep Rangan
  5. David Tse
  6. Hidetoshi Nishimori
  7. David L. Donoho
  8. Abdelrahman Taha
  9. Jian-Feng Cai
  10. Deepak Mishra

Who trusts Xiaojun Yuan overall

  1. Qingqing Wu
  2. M. Di Renzo
  3. Beixiong Zheng
  4. Rui Zhang
  5. Changsheng You
  6. Tobias Lindstrøm Jensen
  7. Peilan Wang
  8. Shuowen Zhang
  9. Shimin Gong
  10. Merouane Debbah

Papers from Xiaojun Yuan's perspective

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

  1. Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming (IEEE Transactions on Wireless Communications)
  2. A New Wireless Communication Paradigm through Software-Controlled Metasurfaces (IEEE Communications Magazine)
  3. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (IEEE Transactions on Wireless Communications)
  4. Coding metamaterials, digital metamaterials and programmable metamaterials (Light: Science & Applications)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Enabling Indoor Mobile Millimeter-wave Networks Based on Smart Reflect-arrays (IEEE Conference on Computer Communications)
  7. Wireless Communications Through Reconfigurable Intelligent Surfaces (IEEE Access)
  8. Spatially Sparse Precoding in Millimeter Wave MIMO Systems (IEEE Transactions on Wireless Communications)
  9. Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design (Global Communications Conference)
  10. Millimeter-Wave Enhanced Local Area Systems: A High-Data-Rate Approach for Future Wireless Networks (IEEE Journal on Selected Areas in Communications)

Their papers