Bo Hong

Cognitive Neuroscience · 2004–2014

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Bo Hong trusts overall

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

  1. Jonathan R. Wolpaw
  2. Xiaorong Gao
  3. Gernot R. Müller-Putz
  4. Niels Birbaumer
  5. Ola Friman
  6. Gert Pfurtscheller
  7. Ming Cheng
  8. Shun-ichi Amari
  9. Steven G. Mason
  10. Reinhold Scherer

Who trusts Bo Hong overall

  1. Xiaogang Chen
  2. Masaki Nakanishi
  3. Shangkai Gao
  4. Xiaorong Gao
  5. Tzyy-Ping Jung
  6. Yu-Te Wang

Papers from Bo Hong's perspective

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

  1. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
  2. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
  3. Brain-computer interface technology: a review of the first international meeting. (IEEE transactions on rehabilitation engineering)
  4. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. (IEEE transactions on rehabilitation engineering)
  5. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components (Journal of Neural Engineering)
  6. A P300-based brain-computer interface: initial tests by ALS patients. (Clinical Neurophysiology)
  7. A BCI-based environmental controller for the motion-disabled. (IEEE transactions on neural systems and rehabilitation engineering)
  8. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  9. Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena (Experimental Brain Research)
  10. Brain-Computer Interfacing for Intelligent Systems (IEEE Intelligent Systems)

Their papers