Hong Shen

Electrical and Electronic Engineering · with He · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Shen trusts overall

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

  1. Ashish J. Khisti
  2. Qingqing Wu
  3. Rui Zhang
  4. Gregory W. Wornell
  5. Sean Victor Hum
  6. Zhi-Quan Tom Luo
  7. Julien Perruisseau-Carrier
  8. Chongwen Huang
  9. Stephen P. Boyd
  10. Fan Liu

Who trusts Hong Shen overall

  1. Chongwen Huang
  2. Xianghao Yu
  3. Yuanwei Liu
  4. Helin Yang
  5. Cunhua Pan
  6. M. Di Renzo
  7. Chau Yuen
  8. Ronghong Mo

Papers from Hong Shen's perspective

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

  1. Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces (IEEE Transactions on Signal Processing)
  2. Semidefinite Relaxation of Quadratic Optimization Problems (IEEE Signal Processing Magazine)
  3. Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming (IEEE Transactions on Wireless Communications)
  4. A New Wireless Communication Paradigm through Software-Controlled Metasurfaces (IEEE Communications Magazine)
  5. Spatially Sparse Precoding in Millimeter Wave MIMO Systems (IEEE Transactions on Wireless Communications)
  6. Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (IEEE Journal on Selected Areas in Communications)
  7. Reconfigurable Reflectarrays and Array Lenses for Dynamic Antenna Beam Control: A Review (IEEE Transactions on Antennas and Propagation)
  8. In-Band Full-Duplex Wireless: Challenges and Opportunities (IEEE Journal on Selected Areas in Communications)
  9. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication (IEEE Transactions on Wireless Communications)
  10. Convex Optimization

Their papers