
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:
Association of Retinal Age Gap With Arterial Stiffness and Incident Cardiovascular Disease
Zhuoting Zhu, Yifan Chen, Wei Wang, et al.
Stroke (2022) Vol. 53, Iss. 11, pp. 3320-3328
Open Access | Times Cited: 35
Zhuoting Zhu, Yifan Chen, Wei Wang, et al.
Stroke (2022) Vol. 53, Iss. 11, pp. 3320-3328
Open Access | Times Cited: 35
Showing 1-25 of 35 citing articles:
Biomarkers of ageing: Current state‐of‐art, challenges, and opportunities
Ruiye Chen, Yueye Wang, Shiran Zhang, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 26
Ruiye Chen, Yueye Wang, Shiran Zhang, et al.
MedComm – Future Medicine (2023) Vol. 2, Iss. 2
Open Access | Times Cited: 26
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
Laura Andreea Ghenciu, Mirabela Dima, Emil Robert Stoicescu, et al.
Biomedicines (2024) Vol. 12, Iss. 9, pp. 2150-2150
Open Access | Times Cited: 9
Predictive Potential of Retina‐Based Biological Age in Assessing Chronic Obstructive Pulmonary Disease Risk
Qingsheng Peng, Tyler Hyungtaek Rim, Zhi Da Soh, et al.
Clinical and Experimental Ophthalmology (2025)
Open Access | Times Cited: 1
Qingsheng Peng, Tyler Hyungtaek Rim, Zhi Da Soh, et al.
Clinical and Experimental Ophthalmology (2025)
Open Access | Times Cited: 1
Use of artificial intelligence with retinal imaging in screening for diabetes-associated complications: systematic review
Qianhui Yang, Yong Mong Bee, C. C. Tchoyoson Lim, et al.
EClinicalMedicine (2025) Vol. 81, pp. 103089-103089
Open Access | Times Cited: 1
Qianhui Yang, Yong Mong Bee, C. C. Tchoyoson Lim, et al.
EClinicalMedicine (2025) Vol. 81, pp. 103089-103089
Open Access | Times Cited: 1
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
Zhuoting Zhu, Yueye Wang, Ziyi Qi, et al.
Progress in Retinal and Eye Research (2025), pp. 101350-101350
Closed Access | Times Cited: 1
Association of Retinal Age Gap and Risk of Kidney Failure: A UK Biobank Study
Shiran Zhang, Ruiye Chen, Yan Wang, et al.
American Journal of Kidney Diseases (2022) Vol. 81, Iss. 5, pp. 537-544.e1
Open Access | Times Cited: 36
Shiran Zhang, Ruiye Chen, Yan Wang, et al.
American Journal of Kidney Diseases (2022) Vol. 81, Iss. 5, pp. 537-544.e1
Open Access | Times Cited: 36
Retina Fundus Photograph-Based Artificial Intelligence Algorithms in Medicine: A Systematic Review
Andrzej Grzybowski, Kai Jin, Jingxing Zhou, et al.
Ophthalmology and Therapy (2024) Vol. 13, Iss. 8, pp. 2125-2149
Open Access | Times Cited: 6
Andrzej Grzybowski, Kai Jin, Jingxing Zhou, et al.
Ophthalmology and Therapy (2024) Vol. 13, Iss. 8, pp. 2125-2149
Open Access | Times Cited: 6
The Association of Retinal age gap with metabolic syndrome and inflammation
Zhuoting Zhu, Dan Liu, Ruiye Chen, et al.
Journal of Diabetes (2023) Vol. 15, Iss. 3, pp. 237-245
Open Access | Times Cited: 14
Zhuoting Zhu, Dan Liu, Ruiye Chen, et al.
Journal of Diabetes (2023) Vol. 15, Iss. 3, pp. 237-245
Open Access | Times Cited: 14
Association between cardiovascular health metrics and retinal ageing
Ruiye Chen, Jinyi Xu, Xianwen Shang, et al.
GeroScience (2023) Vol. 45, Iss. 3, pp. 1511-1521
Open Access | Times Cited: 13
Ruiye Chen, Jinyi Xu, Xianwen Shang, et al.
GeroScience (2023) Vol. 45, Iss. 3, pp. 1511-1521
Open Access | Times Cited: 13
AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook
Yu Huang, Carol Y. Cheung, Da‐Wei Li, et al.
Eye (2023) Vol. 38, Iss. 3, pp. 464-472
Closed Access | Times Cited: 13
Yu Huang, Carol Y. Cheung, Da‐Wei Li, et al.
Eye (2023) Vol. 38, Iss. 3, pp. 464-472
Closed Access | Times Cited: 13
The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging
Zoltán Ungvári, Ádám G. Tabák, Róza Ádány, et al.
GeroScience (2023) Vol. 46, Iss. 1, pp. 191-218
Open Access | Times Cited: 13
Zoltán Ungvári, Ádám G. Tabák, Róza Ádány, et al.
GeroScience (2023) Vol. 46, Iss. 1, pp. 191-218
Open Access | Times Cited: 13
An Overview of Deep-Learning-Based Methods for Cardiovascular Risk Assessment with Retinal Images
Rubén G. Barriada, David Masip
Diagnostics (2022) Vol. 13, Iss. 1, pp. 68-68
Open Access | Times Cited: 20
Rubén G. Barriada, David Masip
Diagnostics (2022) Vol. 13, Iss. 1, pp. 68-68
Open Access | Times Cited: 20
Prediction of preeclampsia from retinal fundus images via deep learning in singleton pregnancies: a prospective cohort study
Tianfan Zhou, Shengyi Gu, Feixue Shao, et al.
Journal of Hypertension (2024) Vol. 42, Iss. 4, pp. 701-710
Open Access | Times Cited: 4
Tianfan Zhou, Shengyi Gu, Feixue Shao, et al.
Journal of Hypertension (2024) Vol. 42, Iss. 4, pp. 701-710
Open Access | Times Cited: 4
From bench to bedside: translational insights into aging research
Kanti Bhooshan Pandey
Frontiers in Aging (2025) Vol. 6
Open Access
Kanti Bhooshan Pandey
Frontiers in Aging (2025) Vol. 6
Open Access
Accelerated retinal ageing and multimorbidity in middle-aged and older adults
Ruiye Chen, Xiaomin Zeng, Wenyi Hu, et al.
GeroScience (2025)
Open Access
Ruiye Chen, Xiaomin Zeng, Wenyi Hu, et al.
GeroScience (2025)
Open Access
A deep‐learning retinal aging biomarker for cognitive decline and incident dementia
Ming Ann Sim, Yih‐Chung Tham, Simon Nusinovici, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 3
Open Access
Ming Ann Sim, Yih‐Chung Tham, Simon Nusinovici, et al.
Alzheimer s & Dementia (2025) Vol. 21, Iss. 3
Open Access
The Retinal Age Gap as a Marker of Accelerated Aging in the Early Course of Schizophrenia
Paweł Krukow, Adam Domagała, Adam Kiersztyn, et al.
Schizophrenia Bulletin (2025)
Closed Access
Paweł Krukow, Adam Domagała, Adam Kiersztyn, et al.
Schizophrenia Bulletin (2025)
Closed Access
Macular vessel density in the superficial plexus is not associated to cerebrospinal fluid core biomarkers for Alzheimer’s disease in individuals with mild cognitive impairment: The NORFACE cohort
Marta Marquié, Ainhoa García‐Sánchez, Emilio Alarcón‐Martín, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7
Marta Marquié, Ainhoa García‐Sánchez, Emilio Alarcón‐Martín, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7
Diagnosing Systemic Disorders with AI Algorithms Based on Ocular Images
Huimin Li, Jing Cao, Andrzej Grzybowski, et al.
Healthcare (2023) Vol. 11, Iss. 12, pp. 1739-1739
Open Access | Times Cited: 7
Huimin Li, Jing Cao, Andrzej Grzybowski, et al.
Healthcare (2023) Vol. 11, Iss. 12, pp. 1739-1739
Open Access | Times Cited: 7
Central obesity and its association with retinal age gap: insights from the UK Biobank study
Ruiye Chen, Junyao Zhang, Xianwen Shang, et al.
International Journal of Obesity (2023) Vol. 47, Iss. 10, pp. 979-985
Open Access | Times Cited: 6
Ruiye Chen, Junyao Zhang, Xianwen Shang, et al.
International Journal of Obesity (2023) Vol. 47, Iss. 10, pp. 979-985
Open Access | Times Cited: 6
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
Hanpei Miao, Zixing Zou, Jie Xu, et al.
MedComm – Future Medicine (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 2
Glycemic status and its association with retinal age gap: Insights from the UK biobank study
Ruiye Chen, Jinyi Xu, Xinyu Zhang, et al.
Diabetes Research and Clinical Practice (2023) Vol. 202, pp. 110817-110817
Closed Access | Times Cited: 6
Ruiye Chen, Jinyi Xu, Xinyu Zhang, et al.
Diabetes Research and Clinical Practice (2023) Vol. 202, pp. 110817-110817
Closed Access | Times Cited: 6
Aging in Ocular Blood Vessels: Molecular Insights and the Role of Oxidative Stress
Xiuting Cui, Francesco Buonfiglio, Norbert Pfeiffer, et al.
Biomedicines (2024) Vol. 12, Iss. 4, pp. 817-817
Open Access | Times Cited: 1
Xiuting Cui, Francesco Buonfiglio, Norbert Pfeiffer, et al.
Biomedicines (2024) Vol. 12, Iss. 4, pp. 817-817
Open Access | Times Cited: 1
Foundation model-driven distributed learning for enhanced retinal age prediction
Christopher Sivert Nielsen, Raissa Souza, Matthias Wilms, et al.
Journal of the American Medical Informatics Association (2024)
Open Access | Times Cited: 1
Christopher Sivert Nielsen, Raissa Souza, Matthias Wilms, et al.
Journal of the American Medical Informatics Association (2024)
Open Access | Times Cited: 1
Use of artificial intelligence algorithms to predict systemic diseases from retinal images
Rehana Khan, Janani Surya, Maitreyee Roy, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 5
Closed Access | Times Cited: 3
Rehana Khan, Janani Surya, Maitreyee Roy, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 5
Closed Access | Times Cited: 3