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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:

Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device
Bala Prabhakar, Rishi Kumar Singh, Khushwant S. Yadav
Computerized Medical Imaging and Graphics (2020) Vol. 87, pp. 101818-101818
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends
Darin Mansor Mathkor, Noof Mathkor, Zaid Bassfar, et al.
Journal of Infection and Public Health (2024) Vol. 17, Iss. 4, pp. 559-572
Open Access | Times Cited: 33
A Review of Biomedical Devices: Classification, Regulatory Guidelines, Human Factors, Software as a Medical Device, and Cybersecurity
Felix Tettey, Santosh Kumar Parupelli, Salil Desai
Deleted Journal (2023) Vol. 2, Iss. 1, pp. 316-341
Open Access | Times Cited: 31
Inkjet Printing of Pharmaceuticals
Paola Carou‐Senra, Lucía Rodríguez‐Pombo, Atheer Awad, et al.
Advanced Materials (2023) Vol. 36, Iss. 11
Open Access | Times Cited: 29
Deep learning-based classification of eye diseases using Convolutional Neural Network for OCT images
Mohamed Elkholy, Marwa A. Marzouk
Frontiers in Computer Science (2024) Vol. 5
Open Access | Times Cited: 8
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
Ryuji Hamamoto, Takafumi Koyama, Nobuji Kouno, et al.
Experimental Hematology and Oncology (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 31
Trust, regulation, and human-in-the-loop AI
Stuart E. Middleton, Emmanuel Letouzé, Ali A. Hossaini, et al.
Communications of the ACM (2022) Vol. 65, Iss. 4, pp. 64-68
Open Access | Times Cited: 28
Glaucoma Detection Using Support Vector Machine Method Based on Spectralis OCT
Chaowei Wu, Hsin‐Yi Chen, Jui-Yu Chen, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 391-391
Open Access | Times Cited: 23
Recognition of Glaucomatous Fundus Images Using Machine Learning Methods Based on Optic Nerve Head Topographic Features
Chaowei Wu, Tzu-Yu Huang, Yeong‐Cheng Liou, et al.
Journal of Glaucoma (2024) Vol. 33, Iss. 8, pp. 601-606
Closed Access | Times Cited: 4
Code-Free Deep Learning Glaucoma Detection On Color Fundus Images
Daniel Milad, Fares Antaki, David Mikhail, et al.
Ophthalmology Science (2025), pp. 100721-100721
Open Access
Modular design principle based on compartmental drug delivery systems
Georgios K. Eleftheriadis, Natalja Genina, Johan Boetker, et al.
Advanced Drug Delivery Reviews (2021) Vol. 178, pp. 113921-113921
Open Access | Times Cited: 26
The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques
Palaiologos Alexopoulos, Chisom T. Madu, Gadi Wollstein, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 16
A new convolution neural network model “KR-NET” for retinal fundus glaucoma classification
Kamesh Sonti, Ravindra Dhuli
Optik (2023) Vol. 283, pp. 170861-170861
Closed Access | Times Cited: 10
The Power of AI-Assisted Diagnosis
Jiaji Wang
ICST Transactions on e-Education and e-Learning (2023) Vol. 8, Iss. 4, pp. e3-e3
Open Access | Times Cited: 10
Deep Learning for Glaucoma Detection: R-CNN ResNet-50 and Image Segmentation
Marlene S. Puchaicela-Lozano, Luis Zhinin-Vera, Ana J. Andrade-Reyes, et al.
Journal of Advances in Information Technology (2023) Vol. 14, Iss. 6, pp. 1186-1197
Open Access | Times Cited: 10
Artificial Intelligence (AI) Ethics in Accounting
Brandon Schweitze
Journal of Accounting Ethics & Public Policy (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Artificial Intelligence in Glaucoma: A New Landscape of Diagnosis and Management
Xiang Ji, Vethushan Ramalingam, Michael Balas, et al.
Journal of Clinical & Translational Ophthalmology (2024) Vol. 2, Iss. 2, pp. 47-63
Open Access | Times Cited: 3
Measures of disease activity in glaucoma
Yue Wu, M Szymańska, Yubing Hu, et al.
Biosensors and Bioelectronics (2021) Vol. 196, pp. 113700-113700
Open Access | Times Cited: 23
MasPA: A Machine Learning Application to Predict Risk of Mastitis in Cattle from AMS Sensor Data
Naeem Abdul Ghafoor, Beata Sitkowska
AgriEngineering (2021) Vol. 3, Iss. 3, pp. 575-583
Open Access | Times Cited: 21
Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs
Xiang Ren, Wei Feng, Ruijin Ran, et al.
Eye (2022) Vol. 37, Iss. 10, pp. 2026-2032
Open Access | Times Cited: 15
Perception of Pathologists in Poland of Artificial Intelligence and Machine Learning in Medical Diagnosis—A Cross-Sectional Study
Alhassan Ali Ahmed, Agnieszka Brychcy, Mohamed Abouzid, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 6, pp. 962-962
Open Access | Times Cited: 8
Rise of Clinical Studies in the Field of Machine Learning: A Review of Data Registered in ClinicalTrials.gov
Claus Zippel, Sabine Bohnet-Joschko
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 10, pp. 5072-5072
Open Access | Times Cited: 19
Glaucoma Detection Using Explainable AI and Deep Learning
Najeeba Afreen, Rajanikanth Aluvalu
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 2
Advances in drug-loaded contact lenses for glaucoma: Materials, evaluation parameters, and novel drug delivery strategies with modified nanoparticles
Khushwant S. Yadav, S. M. Tripathi, J M Vyas, et al.
Journal of Drug Delivery Science and Technology (2024) Vol. 99, pp. 105949-105949
Closed Access | Times Cited: 2
AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
Xiuyuan Chen, Hao Xu, Qingyi Qi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 12
Advancing artificial intelligence-assisted pre-screening for fragile X syndrome
Arezoo Movaghar, David Page, Murray H. Brilliant, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 10
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