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Journal of Clinical and Experimental Ophthalmology

Journal of Clinical and Experimental Ophthalmology
Open Access

ISSN: 2155-9570

+44 1223 790975

Journal of Clinical and Experimental Ophthalmology : Citations & Metrics Report

Articles published in Journal of Clinical and Experimental Ophthalmology have been cited by esteemed scholars and scientists all around the world. Journal of Clinical and Experimental Ophthalmology has got h-index 76, which means every article in Journal of Clinical and Experimental Ophthalmology has got 76 average citations.

Following are the list of articles that have cited the articles published in Journal of Clinical and Experimental Ophthalmology.

  2021 2020 2019 2018 2017

Year wise published articles

73 66 52 67 74

Year wise citations received

1859 1795 1358 1320 1360
Journal total citations count 19817
Journal impact factor 4.57
Journal 5 years impact factor 28.26
Journal cite score 25.08
Journal h-index 76
Journal h-index since 2018 46
Important citations (627)

müller cells and diabetic retinopathy.

the progress in understanding and treatment of diabetic retinopathy

diabetic retinopathy: current understanding, mechanisms, and treatment strategies

anterior capsule configuration and surgical technique in cases of intraocular lens capsular tension ring complex dislocation

predicting zonular strength based on maximum pupillary mydriasis in patients with pseudoexfoliation syndrome.

evaluation of lens capsule stability using capsular tension ring, iris retractor, and capsule expander using a porcine model with zonular dehiscence

objective classification of zonular weakness based on lens movement at the start of capsulorhexis.

objective evaluation of zonular weakness: measurement of lens movement at the start of capsulorhexis using extracted porcine eyes

statistical analysis of the characteristic features of standard image for racial and ethnic identity of a person

comparison of retinal image evaluation techniques in novice clinicians.

computer aided diagnosis of aging macular deterioration via convolutional neural network

automated diagnosis system for age-related macular degeneration using hybrid features set from fundus images

drusen detection and quantification for early identification of age related macular degeneration using color fundus imaging

optimized prediction models from fundus imaging and genetics for late age-related macular degeneration

a review of disease grading and remote diagnosis for sight threatening eye condition: age related macular degeneration

a review of disease grading and remote diagnosis for sight threatening eye condition: age related macular degeneration

combined automated screening for age-related macular degeneration and diabetic retinopathy in primary care settings.

Automated method for the detection and segmentation of drusen in colour fundus image for the diagnosis of age-related macular degeneration

Drusen segmentation from retinal images via supervised feature learning

a self-calibrating approach for the segmentation of retinal vessels by template matching and contour reconstruction

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