Analysis on the characteristics of ophthalmology papers published in highly impact journals and the significance of deep learning algorithm in ophthalmology research

doi:10.3877/cma.j.issn.2095-2007.2019.02.001

Abstract

Abstract:

Ophthalmology articles on highly impact journals have great commonalities. As a current research hot spot, deep learning topic has been published by a large number of researches, which have a great influence in the field of ophthalmology. We took the field of deep learning in ophthalmology as the entry point, classified the influence of ophthalmology article, and summarized the characteristics of ophthalmology literature in highly impact journals.

Key words: Ophthalmology, Deep learning, Impact factor

Ruiqi Pang, Hanruo Liu, Ningli Wang. Analysis on the characteristics of ophthalmology papers published in highly impact journals and the significance of deep learning algorithm in ophthalmology research[J]. Chinese Journal of Ophthalmologic Medicine(Electronic Edition), 2019, 09(02): 65-70.

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