Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Promising Artificial Intelligence-Machine Learning-Deep Learning Algorithms in Ophthalmology
Lokman Balyen, Tünde Pető
Asia-Pacific Journal of Ophthalmology (2019)
Open Access | Times Cited: 140

Showing 51-75 of 140 citing articles:

Artificial Intelligence in Ophthalmology: Accuracy, Challenges, and Clinical Application
Zachary Tan, Jane Scheetz, Mingguang He
Asia-Pacific Journal of Ophthalmology (2019)
Open Access | Times Cited: 21
Real-Time Mobile Teleophthalmology for the Detection of Eye Disease in Minorities and Low Socioeconomics At-Risk Populations
Lama A. Al‐Aswad, Cansu Yüksel Elgin, Vipul Patel, et al.
Asia-Pacific Journal of Ophthalmology (2021) Vol. 10, Iss. 5, pp. 461-472
Open Access | Times Cited: 16
Automation of dry eye disease quantitative assessment: A review
Ikram Brahim, Gwenolé Quellec, Mathieu Lamard, et al.
Clinical and Experimental Ophthalmology (2022) Vol. 50, Iss. 6, pp. 653-666
Open Access | Times Cited: 12
Comprehensive study of semi-supervised learning for DNA methylation-based supervised classification of central nervous system tumors
Quynh T. Tran, Md Zahangir Alom, Brent A. Orr
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 12
Online Disease Identification and Diagnosis and Treatment Based on Machine Learning Technology
Feng Hao, Kai Zheng
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 11
Systematic bibliometric and visualized analysis of research hotspots and trends on the application of artificial intelligence in diabetic retinopathy
Ruoyu Wang, Guangxi Zuo, Kunke Li, et al.
Frontiers in Endocrinology (2022) Vol. 13
Open Access | Times Cited: 11
Research progress in artificial intelligence assisted diabetic retinopathy diagnosis
Yunfang Liu, Fangqin Fei, Nai-Mei Chen, et al.
International Journal of Ophthalmology (2023) Vol. 16, Iss. 9, pp. 1395-1405
Open Access | Times Cited: 6
Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images
Tasnim Bill Zannah, Md. Abdulla-Hil-Kafi, Md. Alif Sheakh, et al.
Computation (2024) Vol. 12, Iss. 9, pp. 190-190
Open Access | Times Cited: 2
Combining Deep Learning With Optical Coherence Tomography Imaging to Determine Scalp Hair and Follicle Counts
Gregor Urban, Nate Feil, Ella Csuka, et al.
Lasers in Surgery and Medicine (2020) Vol. 53, Iss. 1, pp. 171-178
Closed Access | Times Cited: 17
Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review
Aan Chu, David Squirrell, Andelka M. Phillips, et al.
Journal of Ophthalmology (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 17
EffUnet-SpaGen: An Efficient and Spatial Generative Approach to Glaucoma Detection
V. Adithya, Bryan M. Williams, Silvester Czanner, et al.
Journal of Imaging (2021) Vol. 7, Iss. 6, pp. 92-92
Open Access | Times Cited: 15
The Role of Deep Learning-Based Echocardiography in the Diagnosis and Evaluation of the Effects of Routine Anti-Heart-Failure Western Medicines in Elderly Patients with Acute Left Heart Failure
Jinyou Chen, Yue Gao
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-9
Open Access | Times Cited: 15
Artificial Intelligence, Heuristic Biases, and the Optimization of Health Outcomes: Cautionary Optimism
Michael Feehan, Leah A. Owen, Ian M. McKinnon, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 22, pp. 5284-5284
Open Access | Times Cited: 15
Systematic Bibliometric and Visualized Analysis of Research Hotspots and Trends on the Application of Artificial Intelligence in Ophthalmic Disease Diagnosis
Junqiang Zhao, Yi Lu, Shaojun Zhu, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 9
Application of Deep Learning for Automated Detection of Polypoidal Choroidal Vasculopathy in Spectral Domain Optical Coherence Tomography
Papis Wongchaisuwat, Ranida Thamphithak, Peerakarn Jitpukdee, et al.
Translational Vision Science & Technology (2022) Vol. 11, Iss. 10, pp. 16-16
Open Access | Times Cited: 9
Technical Report: Machine-Learning Pipeline for Medical Research and Quality-Improvement Initiatives
Alexander A. Huang, Samuel Y. Huang
Cureus (2023)
Open Access | Times Cited: 5
Diabetic Retinopathy Detection using Deep Learning Techniques
Aswin Shriram Thiagarajan, Jithendran Adikesavan, Santhi Balachandran, et al.
Journal of Computer Science (2020) Vol. 16, Iss. 3, pp. 305-313
Open Access | Times Cited: 13
Artificial Intelligence Evidence-Based Current Status and Potential for Lower Limb Vascular Management
Xenia Butova, Sergey Shayakhmetov, М.В. Федин, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 12, pp. 1280-1280
Open Access | Times Cited: 12
Integration of Artificial Intelligence into the Approach for Diagnosis and Monitoring of Dry Eye Disease
Hee Kyung Yang, Ahhyun Song, Joon Young Hyon, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3167-3167
Open Access | Times Cited: 8
Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
B. Bhaskar Reddy, M. Venkata Sudhakar, P. Rahul Reddy, et al.
Multimedia Systems (2023) Vol. 29, Iss. 4, pp. 2009-2035
Open Access | Times Cited: 4
Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models
Jingzhe Wang, Nan‐Han Lu, Weichang Du, et al.
Healthcare (2023) Vol. 11, Iss. 15, pp. 2228-2228
Open Access | Times Cited: 4
Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study
Pooya Khosravi, Nolan A. Huck, Kourosh Shahraki, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 20, pp. 15105-15105
Open Access | Times Cited: 4
Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis
Yanfei Zhu, Yuan Liu, Qi Wang, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 19, pp. 17479-17493
Closed Access | Times Cited: 4
A transfer learning enabled approach for ocular disease detection and classification
Mahmood ul Hassan, Amin A. Al-Awady, Naeem Ahmed, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 1
Blue Wavelength of Scanning Laser Ophthalmoscope Potentially Detects Arteriosclerotic Lesions in Diabetic Retinopathy
Junko Hori, Yudai Suzuki, Takeshi Yoshida, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1411-1411
Open Access | Times Cited: 1

Scroll to top