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:

Deep Learning and Medical Image Processing Techniques for Diabetic Retinopathy: A Survey of Applications, Challenges, and Future Trends
Posham Uppamma, Sweta Bhattacharya
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images
Waleed Nazih, Ahmad O. Aseeri, Osama Youssef Atallah, et al.
IEEE Access (2023) Vol. 11, pp. 117546-117561
Open Access | Times Cited: 24
A systematic review on diabetic retinopathy detection and classification based on deep learning techniques using fundus images
Dasari Bhulakshmi, Dharmendra Singh Rajput
PeerJ Computer Science (2024) Vol. 10, pp. e1947-e1947
Open Access | Times Cited: 6
A Deep Learning Model for Detecting Diabetic Retinopathy Stages with Discrete Wavelet Transform
A. M. Mutawa, Khalid Al-Sabti, Seemant Raizada, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4428-4428
Open Access | Times Cited: 5
5G and IoT for Intelligent Healthcare: AI and Machine Learning Approaches—A Review
Hira Akhtar Butt, Abdul Ahad, Muhammad Wasim, et al.
(2024), pp. 107-123
Closed Access | Times Cited: 4
Advancing Visual Perception Through VCANet-Crossover Osprey Algorithm: Integrating Visual Technologies
Yuwen Ning, Jiaxin Li, Shuyi Sun
Deleted Journal (2025)
Closed Access
Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging
Navid Sobhi, Yasin Sadeghi-Bazargani, Mirzaei Mahdis, et al.
Journal of Diabetes & Metabolic Disorders (2025) Vol. 24, Iss. 1
Open Access
Multichannel semi-supervised active learning for PolSAR image classification
Wenqiang Hua, Yurong Zhang, Hongying Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 127, pp. 103706-103706
Open Access | Times Cited: 3
A Deep Learning Model for Detecting the Diabetic Retinopathy Stages with Discrete Wavelet Transform
A. M. Mutawa, Khalid Al-Sabti, Seemant Raizada, et al.
(2024)
Open Access | Times Cited: 3
A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images
Walaa N. Ismail, Hessah A. Alsalamah
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Leveraging the Capabilities of EfficientNetB3 to Classify Eye Diseases with Reliability
Poonam Shourie, Vatsala Anand, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
Technical, economic, and societal risks in the progress of artificial intelligence driven quantum technologies
Alberto Boretti
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Diabetic retinopathy detection using EADBSC and improved dilated ensemble CNN-based classification
Neetha Merin Thomas, S. Albert Jerome
Multimedia Tools and Applications (2023) Vol. 83, Iss. 11, pp. 33573-33595
Closed Access | Times Cited: 6
Assessment of Deep Learning Models for Cutaneous Leishmania Parasite Diagnosis Using Microscopic Images
Ali Mansour Abdul Hafid ABDELMULA, Omid Mırzaeı, Emrah Güler, et al.
Diagnostics (2023) Vol. 14, Iss. 1, pp. 12-12
Open Access | Times Cited: 6
Automated grading of diabetic retinopathy and radiomics analysis on ultra-wide optical coherence tomography angiography scans
Vivek Noel Soren, H.S. Prajwal, Vaanathi Sundaresan
Image and Vision Computing (2024), pp. 105292-105292
Closed Access | Times Cited: 2
Diabetic Retinopathy Detection using Deep Learning Framework and Explainable Artificial Intelligence Technique *
Uppamma Posham, Sweta Bhattacharya
(2024), pp. 411-415
Closed Access | Times Cited: 1
A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: an ensemble learning approach
Posham Uppamma, Sweta Bhattacharya
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Effective multi-class lungdisease classification using the hybridfeature engineering mechanism
Binju Saju, Neethu Tressa, Rajesh Kumar Dhanaraj, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 11, pp. 20245-20273
Open Access | Times Cited: 3
Detection and Classification of Diabetic Retinopathy by Fuzzy Based Decision-Making System
R. Helen, R. Sindhuja, V. Mounika, et al.
(2023) Vol. 20, pp. 1849-1854
Closed Access | Times Cited: 2
A Hybrid GAN-BiGRU Model Enhanced by African Buffalo Optimization for Diabetic Retinopathy Detection
P Sasikala, Sushil Dohare, Mohammed Saleh Al Ansari, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 1
Open Access
Exploring Explainable AI in Healthcare
Adla Padma, Vasavi Chithanuru, Posham Uppamma, et al.
Advances in healthcare information systems and administration book series (2024), pp. 199-233
Closed Access
A comprehensive review of retinal disease diagnosis and open access datasets: Fundus and OCT images
Zameer Fatima, Parneeta Dhaliwal, Deepak Gupta
Intelligent Decision Technologies (2024) Vol. 18, Iss. 3, pp. 1695-1710
Closed Access
Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review
Nazeef Ul Haq, Talha Waheed, Kashif Ishaq, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access
Enhancing Diabetic Retinopathy Identification Through Novel Image Representation and Hybrid CNN-Transformer Segmentation
M. Hadef, Lotfi Gana, Said Yacine Boulahia, et al.
Lecture notes in networks and systems (2024), pp. 114-125
Closed Access
A Recent Review on Diabetic Retinopathy Detection (DRD) Approaches
Kapil Chaturvedi, Vijay Bhandari, Ritu Shrivastava, et al.
Lecture notes in networks and systems (2024), pp. 559-574
Closed Access
Optical system based data classification for diabetes retinopathy detection using machine language with artificial intelligence
Suraj Malik, Sudharsanan Srinivasan, Chandra Shekhar Rajora, et al.
Optical and Quantum Electronics (2023) Vol. 55, Iss. 10
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top