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Cited by 153Artificial Intelligence ApplicationsNeural Networks and ApplicationsAdvanced Neural Network Applications

Tracing the evolution of AI in the past decade and forecasting the emerging trends

Open access
Shao, Zhou, Zhao, Ruoyan, Yuan, Sha, Ding, Ming, Wang, Yongli·2022·Expert Systems with Applications
DOI 10.1016/j.eswa.2022.118221
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Crossref · 10.1016/j.eswa.2022.118221

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  • AI has already gone through significant change and expansion.

    “According to researchers and AI philosophers, AI has already gone through significant change and expansion (e.g., Cordeschi, 2007; Shao et al., 2022)”

    From Generative AI in Higher Education: The ChatGPT Effect (2024) · cites this paper as Shao et al., 2022

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References 145 · Cited by 153

Authors
Shao, Z., Zhao, R., Yuan, S., Ding, M., & Wang, Y.
Affiliations
  • Beijing Academy of Artificial Intelligence (CN)
  • Zhejiang University (CN)
  • Tsinghua University (CN)
  • Nanjing University of Science and Technology (CN)
Corresponding author
Yuan, Sha
ORCID
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2022-12
Volume
209
Pages
118221
ISSN
0957-4174 (ISSN-L)
DOI
10.1016/j.eswa.2022.118221
OpenAlex
W4288457740
Cited by
153
References
145
Citations by year
2026: 28 · 2025: 64 · 2024: 34 · 2023: 24 · 2022: 3
FWCI
10.28
Type
journal article
Language
en
Open access
Licence
Locations
Expert Systems with Applications (acceptedVersion)
Funders
National Natural Science Foundation of China (61941113, 61806111)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
Keywords
AI evolution, deep learning, connectionism, self-learning algorithms, recurrent neural networks, reinforcement learning, pre-trained models, AI research trends, artificial intelligence industry

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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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