The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Subject independent facial expression recognition with robust face detection using a convolutional neural network
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Citations
Cites
Fukushima, K. (1980) · Biological Cybernetics · doi:10.1007/bf00344251 · Cited by 5,759
Learning invariance from transformation sequences
Földiák, P. (1991) · Neural Computation · doi:10.1162/neco.1991.3.2.194 · Cited by 661 · cited 1×
“Most algorithms, so far, have addressed only a part of these problems (Földiák, 1991; Wallis & Rolls, 1997).”
Background
Cited by
Lopes, A. T., de Aguiar, E., De Souza, A. F., & Oliveira-Santos, T. (2017) · Pattern Recognition · doi:10.1016/j.patcog.2016.07.026 · Cited by 799
Multi-Classification of Brain Tumor Images Using Deep Neural Network
Sultan, H. H., Salem, N. M., & Al-Atabany, W. (2019) · IEEE Access · doi:10.1109/access.2019.2919122 · Cited by 775
Artificial intelligence in the creative industries: a review
Anantrasirichai, N., & Bull, D. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-10039-7 · Cited by 793
Kotsia, I., & Pitas, I. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.884954 · Cited by 687
Artificial intelligence: a survey on evolution, models, applications and future trends
Lu, Y. (2019) · Journal of Management Analytics · doi:10.1080/23270012.2019.1570365 · Cited by 641
Metadata
- Authors
- Matsugu, M., Mori, K., Mitari, Y., & Kaneda, Y.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 2003-06
- Volume
- 16
- Issue
- 5-6
- Pages
- 555-559
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2168893862
- Cited by
- 715
- References
- 2
- FWCI
- 3.64
- 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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Subject independent facial expression recognition with robust face detection using a convolutional neural network. https://app.cochat.ai/papers/10.1016/s0893-6080(03)00115-1
- The paper
- Matsugu, M., Mori, K., Mitari, Y., & Kaneda, Y. (2003). Subject independent facial expression recognition with robust face detection using a convolutional neural network. Neural Networks. https://doi.org/10.1016/s0893-6080(03)00115-1
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.
