Masaki Nakanishi

Cognitive Neuroscience · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 48 citations into it; #4,538 of 10,852 by trust here, #5,396 by citations
• Cellular and Molecular Neuroscience — 30 citations into it; #1,408 of 2,998 by trust here, #2,821 by citations
• Electrical and Electronic Engineering — 13 citations into it
• Signal Processing — 8 citations into it

Whom Masaki Nakanishi trusts overall

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

1. Xiaorong Gao
2. Shangkai Gao
3. Guangyu Bin
4. Xiaogang Chen
5. Jonathan R. Wolpaw
6. François-Benoît Vialatte
7. Changshui Zhang
8. Yu-Te Wang
9. Bo Hong
10. Tzyy-Ping Jung

Who trusts Masaki Nakanishi overall

1. Xiaogang Chen
2. Tzyy-Ping Jung
3. Yijun Wang
4. Yu-Te Wang
5. Xiaorong Gao
6. Dongrui Wu
7. Shangkai Gao
8. Xiaotong Gu

Papers from Masaki Nakanishi's perspective

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

1. Brain-computer interfaces for communication and control. (Clinical Neurophysiology)
2. Multiple Channel Detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces (IEEE Transactions on Biomedical Engineering)
3. An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method (Journal of Neural Engineering)
4. Design and implementation of a brain-computer interface with high transfer rates (IEEE Transactions on Biomedical Engineering)
5. Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components (Journal of Neural Engineering)
6. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis (NeuroImage)
7. A high-speed BCI based on code modulation VEP (Journal of Neural Engineering)
8. Visual and Auditory Brain–Computer Interfaces (IEEE Transactions on Biomedical Engineering)
9. A High-Speed Brain Speller using steady-State Visual evoked potentials (International Journal of Neural Systems)
10. Brain-computer interfaces based on the steady-state visual-evoked response. (IEEE transactions on rehabilitation engineering)

Their papers

• High-speed spelling with a noninvasive brain–computer interface (2015) — 879 citations
• Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis (2017) — 696 citations
• A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials (2015) — 352 citations
• A High-Speed Brain Speller using steady-State Visual evoked potentials (2014) — 346 citations