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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:

Diabetic and Hypertensive Retinopathy Screening in Fundus Images Using Artificially Intelligent Shallow Architectures
Muhammad Arsalan, Adnan Haider, Jiho Choi, et al.
Journal of Personalized Medicine (2021) Vol. 12, Iss. 1, pp. 7-7
Open Access | Times Cited: 23

Showing 23 citing articles:

Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches
K. Kumar, Nagendra Singh
Neural Computing and Applications (2023) Vol. 35, Iss. 17, pp. 12495-12511
Closed Access | Times Cited: 21
Impact of the Preprocessing Steps in Deep Learning-Based Image Classifications
H. James Deva Koresh
National Academy Science Letters (2024) Vol. 47, Iss. 6, pp. 645-647
Closed Access | Times Cited: 7
Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images
Yuke Ji, Yun Ji, Yunfang Liu, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 16
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
Classification of Diabetic Retinopathy Images through Deep Learning Models - Color Channel Approach: A Review
Sardar Salih, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Exploring deep feature-blending capabilities to assist glaucoma screening
Adnan Haider, Muhammad Arsalan, Chanhum Park, et al.
Applied Soft Computing (2022) Vol. 133, pp. 109918-109918
Open Access | Times Cited: 21
MTPA_Unet: Multi-Scale Transformer-Position Attention Retinal Vessel Segmentation Network Joint Transformer and CNN
Yun Jiang, Jing Liang, Tongtong Cheng, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4592-4592
Open Access | Times Cited: 19
Robust segmentation of underwater fish based on multi-level feature accumulation
Adnan Haider, Muhammad Arsalan, Jiho Choi, et al.
Frontiers in Marine Science (2022) Vol. 9
Open Access | Times Cited: 18
Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion
Adnan Haider, Muhammad Arsalan, Se Hyun Nam, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 3, pp. 211-226
Open Access | Times Cited: 8
Applications of artificial intelligence-assisted retinal imaging in systemic diseases: A literature review
AliM Al-Halafi
Saudi Journal of Ophthalmology (2023) Vol. 37, Iss. 3, pp. 185-192
Open Access | Times Cited: 8
Handheld Fundus Camera for Diabetic Retinopathy Screening: A Comparison Study with Table-Top Fundus Camera in Real-Life Setting
Edoardo Midena, Luca Zennaro, Cristian Lapo, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 9, pp. 2352-2352
Open Access | Times Cited: 13
Automatic detection of hypertensive retinopathy using improved fuzzy clustering and novel loss function
Usharani Bhimavarapu
Multimedia Tools and Applications (2023) Vol. 82, Iss. 19, pp. 30107-30123
Closed Access | Times Cited: 7
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
Segmenting Retinal Vessels Using a Shallow Segmentation Network to Aid Ophthalmic Analysis
Muhammad Arsalan, Adnan Haider, Ja Hyung Koo, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1536-1536
Open Access | Times Cited: 9
Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation
Muhammad Arsalan, Adnan Haider, Jin Seong Hong, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 5, pp. 267-267
Open Access | Times Cited: 1
Detection of Diabetic and Hypertensive Retinopathy Using Deep Learning Models
Rasagna Gurthula, Chandana Vanukuru, Vighnesh Chiluka, et al.
(2024), pp. 522-527
Closed Access | Times Cited: 1
Predictions of Early Hospitalization of Diabetes Patients Based on Deep Learning: A Review
Chiai Al-Atroshi, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access
Ocular biomarkers: useful incidental findings by deep learning algorithms in fundus photographs
E. Revell Martin, Angus Cook, Shaun Frost, et al.
Eye (2024) Vol. 38, Iss. 13, pp. 2581-2588
Open Access
Hypertension Classification for Fundus Image Based on Improving Clahe Morphology in Wavelet Transform and ResUNet
Tao Hong, Nguyễn Thanh Bình
Communications in computer and information science (2024), pp. 185-195
Closed Access
Automatic Classification of Diabetic and Hypertension Fundus Camera Retinal Images Using Deep Learning
Ajay Vamsi Jalluri, Harsha Vardhan Garine, Harsha Koduri, et al.
Advances in intelligent systems and computing (2024), pp. 165-180
Closed Access
Ocular Biomarkers: Useful Incidental Findings by Deep Learning Algorithms in Retinal Photographs
E. Revell Martin, Angus Cook, Shaun Frost, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
HyMNet: A Multimodal Deep Learning System for Hypertension Prediction Using Fundus Images and Cardiometabolic Risk Factors
Mohammed Baharoon, Hessa Almatar, Reema Alduhayan, et al.
Bioengineering (2024) Vol. 11, Iss. 11, pp. 1080-1080
Open Access
Retinopatia diabética e retinopatia hipertensiva: uma revisão comparativa
Manuela Marinho, Anna Luiza Guimarães Fraga, Mila Schiavini Beiriz Santos, et al.
Revista Eletrônica Acervo Médico (2022) Vol. 16, pp. e10792-e10792
Open Access | Times Cited: 1
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