OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Integrating oculomics with genomics reveals imaging biomarkers for preventive and personalized prediction of arterial aneurysms
Yu Huang, Cong Li, Danli Shi, et al.
The EPMA Journal (2023) Vol. 14, Iss. 1, pp. 73-86
Open Access | Times Cited: 12

Showing 12 citing articles:

Retinal Imaging-Based Oculomics: Artificial Intelligence as a Tool in the Diagnosis of Cardiovascular and Metabolic Diseases
Laura Andreea Ghenciu, Mirabela Dima, Emil Robert Stoicescu, et al.
Biomedicines (2024) Vol. 12, Iss. 9, pp. 2150-2150
Open Access | Times Cited: 9

Oculomics: Current Concepts and Evidence
Zhuoting Zhu, Yueye Wang, Ziyi Qi, et al.
Progress in Retinal and Eye Research (2025), pp. 101350-101350
Closed Access | Times Cited: 1

Oculomics: A Crusade Against the Four Horsemen of Chronic Disease
Emily J Patterson, Alistair D. Bounds, Siegfried Wagner, et al.
Ophthalmology and Therapy (2024) Vol. 13, Iss. 6, pp. 1427-1451
Open Access | Times Cited: 7

Retinal Vascular Measurements and Mortality Risk: Evidence From the UK Biobank Study
Mayinuer Yusufu, Yutong Chen, Alimu Dayimu, et al.
Translational Vision Science & Technology (2024) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 5

Application of ChatGPT-4 to oculomics: a cost-effective osteoporosis risk assessment to enhance management as a proof-of-principles model in 3PM
Joon Yul Choi, Eoksoo Han, Tae Keun Yoo
The EPMA Journal (2024) Vol. 15, Iss. 4, pp. 659-676
Closed Access | Times Cited: 5

Population-based Normative Reference for Retinal Microvascular Atlas
Mayinuer Yusufu, Algis J. Vingrys, Xianwen Shang, et al.
Ophthalmology Science (2025) Vol. 5, Iss. 3, pp. 100723-100723
Open Access

Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES
Yuqi Zhang, Sijin Li, Weijie Wu, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3

Advancing systemic disease diagnosis through ophthalmic image‐based artificial intelligence
Hanpei Miao, Zixing Zou, Jie Xu, et al.
MedComm – Future Medicine (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2

Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk
Danli Shi, Yukun Zhou, Shuang He, et al.
Ophthalmology Science (2023) Vol. 4, Iss. 3, pp. 100441-100441
Open Access | Times Cited: 2

The use of artificial intelligence (AI) in pharmacology and the process of drug discovery
Pouyan pishva, Zahra Mousavi
Deleted Journal (2024) Vol. 34, Iss. 2, pp. 105-111
Closed Access

Population-based Normative Reference for Retinal Microvascular Atlas
Mayinuer Yusufu, Algis J. Vingrys, Xianwen Shang, et al.
(2024)
Closed Access

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