Cited by 3,239Neural Networks and ApplicationsAdvanced Neural Network ApplicationsArtificial Intelligence Applications

A survey of deep neural network architectures and their applications

Liu, Weibo, Wang, Zidong, Liu, Xiaohui, Zeng, Nianyin, Liu, Yurong, Alsaadi, Fuad E.·2017·Neurocomputing

Integrity signals

Registry

Crossref · 10.1016/j.neucom.2016.12.038

Cites

174 of 174 references verified0 citation errors · 0 not checkable

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  • The main challenges in group dynamics and psychology are collaboration to ensure a successful project and adequate communication with customers.

    “The main challenges in this category are collaboration to ensure a successful project and adequate communication with customers [17,18,21,27,40,59,83].”

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Authors
Liu, W., Wang, Z., Liu, X., Zeng, N., Liu, Y., & Alsaadi, F. E.
Affiliations
  • King Abdulaziz University (SA)
  • Brunel University of London (GB)
  • Xiamen University (CN)
Corresponding author
Wang, Zidong
Venue
Neurocomputing
Publisher
Elsevier BV
Published
2017-04
Volume
234
Pages
11-26
ISSN
0925-2312 (ISSN-L)
OpenAlex
W2565516711
Cited by
3,239
References
174
Citations by year
2026: 109 · 2025: 291 · 2024: 338 · 2023: 392 · 2022: 490 · 2021: 520 · 2020: 486 · 2019: 343 · 2018: 195 · 2017: 75
FWCI
152.95
Type
journal article
Language
en
Open access
closed
Locations
Neurocomputing (publishedVersion)
Funders
  • Royal Society of the UK
  • National Natural Science Foundation of China (61329301, 61374010, 61403319)
  • Alexander von Humboldt Foundation of Germany
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
Keywords
deep learning architectures, deep belief network, autoencoder, convolutional neural networks, restricted Boltzmann machine, speech recognition, pattern recognition, computer vision, big data analytics, representation learning

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 ›

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