Xiaogang Chen

Cognitive Neuroscience · Proceedings of the National Academy of Sciences of the United States of America · 2015–2017

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaogang Chen trusts overall

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

  1. Xiaorong Gao
  2. Shangkai Gao
  3. Christoph S. Herrmann
  4. Guangyu Bin
  5. Jonathan R. Wolpaw
  6. Masaki Nakanishi
  7. Arnaud Delorme
  8. Bo Hong
  9. Ola Friman
  10. Niels Birbaumer

Who trusts Xiaogang Chen overall

  1. Masaki Nakanishi
  2. Dongrui Wu
  3. M. Rashid
  4. Reza Abiri
  5. Francis R. Willett
  6. Yijun Wang
  7. Xiaotong Gu
  8. Bradley Jay Edelman
  9. Xiaorong Gao
  10. Yifan Xu

Papers from Xiaogang Chen's perspective

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

  1. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
  2. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)
  3. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components (Journal of Neural Engineering)
  4. Human EEG responses to 1–100 Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena (Experimental Brain Research)
  5. Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces (IEEE Transactions on Biomedical Engineering)
  6. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
  7. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method (Journal of Neural Engineering)
  8. Towards an independent brain-computer interface using steady state visual evoked potentials. (Clinical Neurophysiology)
  9. Filter Bank Common Spatial Pattern Algorithm on BCI Competition IV Datasets 2a and 2b (Frontiers in Neuroscience)
  10. BCI Demographics: How Many (and What Kinds of) People Can Use an SSVEP BCI? (IEEE transactions on neural systems and rehabilitation engineering)

Their papers