Haifeng Dai

Electrical and Electronic Engineering · 2009–2022

A researcher in the Science corpus: 11 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haifeng Dai trusts overall

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

  1. Mehdi Kiani
  2. Xiaosong Hu
  3. Y. Urzhumov

Who trusts Haifeng Dai overall

  1. Anthony Barré
  2. B. Deguilhem

Papers from Haifeng Dai's perspective

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

  1. Wireless Power Transfer via Strongly Coupled Magnetic Resonances (Science)
  2. Power transfer capability and bifurcation phenomena of loosely coupled inductive power transfer systems (IEEE transactions on industrial electronics (1982. Print))
  3. Magnetic Resonant Coupling As a Potential Means for Wireless Power Transfer to Multiple Small Receivers (IEEE transactions on power electronics)
  4. Design and Optimization of a 3-Coil Inductive Link for Efficient Wireless Power Transmission (IEEE Transactions on Biomedical Circuits and Systems)
  5. Design and Optimization of Resonance-Based Efficient Wireless Power Delivery Systems for Biomedical Implants (IEEE Transactions on Biomedical Circuits and Systems)
  6. Design and Test of a High-Power High-Efficiency Loosely Coupled Planar Wireless Power Transfer System (IEEE transactions on industrial electronics (1982. Print))
  7. A Unity-Power-Factor IPT Pickup for High-Power Applications (IEEE transactions on industrial electronics (1982. Print))
  8. A Study of Loosely Coupled Coils for Wireless Power Transfer (IEEE Transactions on Circuits and Systems - II - Express Briefs)
  9. Simultaneous mid-range power transfer to multiple devices
  10. Design and Implementation of Shaped Magnetic-Resonance-Based Wireless Power Transfer System for Roadway-Powered Moving Electric Vehicles (IEEE transactions on industrial electronics (1982. Print))

Their papers