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:

Mobile-HR: An Ophthalmologic-Based Classification System for Diagnosis of Hypertensive Retinopathy Using Optimized MobileNet Architecture
Muhammad Zaheer Sajid, Imran Qureshi, Qaisar Abbas, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1439-1439
Open Access | Times Cited: 13

Showing 13 citing articles:

Severity grading of hypertensive retinopathy using hybrid deep learning architecture
Supriya Suman, Anil Kumar Tiwari, S.K. Sachan, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108585-108585
Closed Access

Automated detection of Hypertensive Retinopathy using few-shot learning
Supriya Suman, Anil Kumar Tiwari, Tejas Ingale, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105310-105310
Closed Access | Times Cited: 9

Computer-aided diagnostic system for hypertensive retinopathy: A review
Supriya Suman, Anil Kumar Tiwari, Kuldeep Singh
Computer Methods and Programs in Biomedicine (2023) Vol. 240, pp. 107627-107627
Closed Access | Times Cited: 7

Deep-Ocular: Improved Transfer Learning Architecture Using Self-Attention and Dense Layers for Recognition of Ocular Diseases
Qaisar Abbas, Mubarak Albathan, Abdullah AlTameem, et al.
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3165-3165
Open Access | Times Cited: 7

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108207-108207
Open Access | Times Cited: 2

HRDC challenge: a public benchmark for hypertension and hypertensive retinopathy classification from fundus images
Bo Qian, Xiangning Wang, Zhouyu Guan, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 2

Clinical Applications and Future Directions of Smartphone Fundus Imaging
Seong Joon Ahn, Young Hwan Kim
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1395-1395
Open Access | Times Cited: 2

HDR-EfficientNet: A Classification of Hypertensive and Diabetic Retinopathy Using Optimize EfficientNet Architecture
Qaisar Abbas, Yassine Daadaa, Umer Rashid, et al.
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3236-3236
Open Access | Times Cited: 6

RDS-DR: An Improved Deep Learning Model for Classifying Severity Levels of Diabetic Retinopathy
Ijaz Bashir, Muhammad Zaheer Sajid, Rizwana Kalsoom, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3116-3116
Open Access | Times Cited: 5

Deep Transfer Learning Models for Mobile-Based Ocular Disorder Identification on Retinal Images
Roseline Oluwaseun Ogundokun, Joseph Bamidele Awotunde, Hakeem Babalola Akande, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 80, Iss. 1, pp. 139-161
Open Access

Classification of diabetic retinopathy algorithm based on a novel dual-path multi-module model
L. Zhang, Jialin Gang, Jiangbo Liu, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access

Diagnosis of Parkinson’s Disease Using Convolutional Neural Network by Hand Drawing Images
M. Nur Hikmal Afandi, Peter Ardhianto, Jun-Dai Lin
(2023)
Open Access | Times Cited: 1

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