The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal
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Citations
Cites
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Cited by
Automated EEG-based screening of depression using deep convolutional neural network
Acharya, U. R., Oh, S. L., Hagiwara, Y., Tan, J. H., Adeli, H., & Subha, D. P. (2018) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2018.04.012 · Cited by 650
EEG Based Emotion Recognition: A Tutorial and Review
Li, X., Zhang, Y., Tiwari, P., Song, D., Hu, B., Yang, M., Zhao, Z., Kumar, N., & Marttinen, P. (2023) · ACM Computing Surveys · doi:10.1145/3524499 · Cited by 508
Depression detection from social network data using machine learning techniques
Islam, M. R., Kabir, M. A., Ahmed, A., Kamal, A. R. M., Wang, H., & Ulhaq, A. (2018) · Health Information Science and Systems · doi:10.1007/s13755-018-0046-0 · Cited by 465
Depression biomarkers using non-invasive EEG: A review
de Aguiar Neto, F. S., & Rosa, J. L. G. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.07.021 · Cited by 451
A Novel Depression Diagnosis Index Using Nonlinear Features in EEG Signals
Acharya, U. R., Sudarshan, V. K., Adeli, H., Santhosh, J., Koh, J. E. W., Puthankatti, S. D., & Adeli, A. (2015) · European Neurology · doi:10.1159/000438457 · Cited by 270
Metadata
- Authors
- Hosseinifard, B., Moradi, M. H., & Rostami, R.
- Venue
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 109
- Issue
- 3
- Pages
- 339-345
- ISSN
- 0169-2607 (ISSN-L)
- OpenAlex
- W2126719297
- Cited by
- 558
- References
- 1
- FWCI
- 5.22
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
