Deep learning

Article Properties

Language

English
DOI (url)

10.1038/nature14539
Publication Date

2015/05/27
Journal

Nature
Indian UGC (Journal)
Refrences

103
Citations

36,146
Yann LeCun
Yoshua Bengio
Geoffrey Hinton

Cite

LeCun, Yann, et al. “Deep Learning”. Nature, vol. 521, no. 7553, 2015, pp. 436-44, https://doi.org/10.1038/nature14539.

LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444. https://doi.org/10.1038/nature14539

LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436-44.

Journal Categories

Science

Science (General)

Refrences

Citations

Citations Analysis

Category	Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science	8,452
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics	6,613
Technology: Engineering (General). Civil engineering (General)	6,606
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks	6,294
Technology: Mechanical engineering and machinery	4,295

The first research to cite this article was titled Non-Life Insurance: Mathematics & Statistics and was published in 2013. The most recent citation comes from a 2024 study titled Non-Life Insurance: Mathematics & Statistics . This article reached its peak citation in 2022 , with 6,911 citations.It has been cited in 5,427 different journals, 19% of which are open access. Among related journals, the IEEE Access cited this research the most, with 1,372 citations. The chart below illustrates the annual citation trends for this article.