The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain–computer interface
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Jöbsis, F. F. (1977) · Science · doi:10.1126/science.929199 · Cited by 3,899
Reach and grasp by people with tetraplegia using a neurally controlled robotic arm
Hochberg, L. R., Bacher, D., Jarosiewicz, B., Masse, N. Y., Simeral, J. D., Vogel, J., Haddadin, S., Liu, J., Cash, S. S., van der Smagt, P., et al. (2012) · Nature · doi:10.1038/nature11076 · Cited by 2,719
A review of classification algorithms for EEG-based brain–computer interfaces
Lotte, F., Congedo, M., Lécuyer, A., Lamarche, F., & Arnaldi, B. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r01 · Cited by 2,665
Porro, C. A., Francescato, M. P., Cettolo, V., Diamond, M. E., Baraldi, P., Zuiani, C., Bazzocchi, M., & di Prampero, P. E. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-23-07688.1996 · Cited by 924
Sitaram, R., Zhang, H., Guan, C., Thulasidas, M., Hoshi, Y., Ishikawa, A., Shimizu, K., & Birbaumer, N. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.005 · Cited by 590
Pfurtscheller, G., Neuper, C., Schlogl, A., & Lugger, K. (1998) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.712230 · Cited by 553
Current trends in Graz brain-computer interface (BCI) research
Pfurtscheller, G., Neuper, C., Guger, C., Harkam, W., Ramoser, H., Schlogl, A., Obermaier, B., & Pregenzer, M. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847821 · Cited by 518
Brain–computer interface using a simplified functional near-infrared spectroscopy system
Coyle, S. M., Ward, T. E., & Markham, C. M. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/3/007 · Cited by 505
Okada, E., Firbank, M., Schweiger, M., Arridge, S. R., Cope, M., & Delpy, D. T. (1997) · Applied Optics · doi:10.1364/ao.36.000021 · Cited by 477
Cited by
fNIRS-based brain-computer interfaces: a review
Naseer, N., & Hong, K.-S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00003 · Cited by 988
Self-citationSleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
Aboalayon, K., Faezipour, M., Almuhammadi, W., & Moslehpour, S. (2016) · Entropy · doi:10.3390/e18090272 · Cited by 382
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K.-S., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 283
Self-citationDecoding of four movement directions using hybrid NIRS-EEG brain-computer interface
Khan, M. J., Hong, M. J., & Hong, K.-S. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00244 · Cited by 280
Classification of prefrontal and motor cortex signals for three-class fNIRS-BCI
Hong, K.-S., Naseer, N., & Kim, Y.-H. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2014.12.029 · Cited by 276
Metadata
- Authors
- Naseer, N., & Hong, K.-S.
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 553
- Pages
- 84-89
- ISSN
- 0304-3940 (ISSN-L)
- OpenAlex
- W2010872261
- Cited by
- 301
- References
- 37
- FWCI
- 14.31
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain–computer interface. https://app.cochat.ai/papers/10.1016/j.neulet.2013.08.021
- The paper
- Naseer, N., & Hong, K.-S. (2013). Classification of functional near-infrared spectroscopy signals corresponding to the right- and left-wrist motor imagery for development of a brain–computer interface. Neuroscience Letters. https://doi.org/10.1016/j.neulet.2013.08.021
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.