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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:

Hierarchical severity grade classification of non-proliferative diabetic retinopathy
Charu Bhardwaj, Shruti Jain, Meenakshi Sood
Journal of Ambient Intelligence and Humanized Computing (2020) Vol. 12, Iss. 2, pp. 2649-2670
Closed Access | Times Cited: 66

Showing 26-50 of 66 citing articles:

Machine and deep learning techniques for the prediction of diabetics: a review
Sandip Kumar Singh Modak, Vijay Kumar Jha
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
An efficient early detection of diabetic retinopathy using dwarf mongoose optimization based deep belief network
A Abirami, R. Kavitha
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 28
Closed Access | Times Cited: 12
Cloud-enabled Diabetic Retinopathy Prediction System using optimized deep Belief Network Classifier
Rajkumar Rajavel, Balu Sundaramoorthy, Kanagachidambaresan GR, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 10, pp. 14101-14109
Closed Access | Times Cited: 11
A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features
Sayed Haggag, Ahmed Elnakib, Ahmed Sharafeldeen, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8326-8326
Open Access | Times Cited: 8
Automatic severity grade classification of diabetic retinopathy using deformable ladder Bi attention U-net and deep adaptive CNN
Deva Durai, T. Jaya
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 8, pp. 2091-2113
Closed Access | Times Cited: 4
Effect of Multimodal Metadata Augmentation on Classification Performance in Deep Learning
Yuri Gordienko, Maksym Shulha, Sergii Stirenko
Algorithms for intelligent systems (2024), pp. 391-405
Closed Access | Times Cited: 1
Classification of diabetic retinopathy based on Functional Linked Neural network utilizing segmented fundus image features
D. Sasikala, T. Kowsalya, P. Padmaloshani, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106252-106252
Closed Access | Times Cited: 1
A Novel Dual Attention Approach for DNN Based Automated Diabetic Retinopathy Grading
Tareque Bashar Ovi, Nomaiya Bashree, Hussain Nyeem, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Closed Access | Times Cited: 1
An Optimized Deep Learning based Technique for Grading and Extraction of Diabetic Retinopathy Severities
Qiuming Zhang, Jing Luo, Korhan Cengiz
Informatica (2021) Vol. 45, Iss. 5
Open Access | Times Cited: 9
Augmentation-Consistent Clustering Network for Diabetic Retinopathy Grading with Fewer Annotations
Guanghua Zhang, Keran Li, Zhixian Chen, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
An Integrated Fundus Image Segmentation Algorithm for Multiple Eye Ailments
Parul Datta, Prasenjit Das, Abhishek Kumar
International Journal of Electrical and Electronics Research (2021) Vol. 9, Iss. 4, pp. 125-134
Open Access | Times Cited: 7
Analysis on transformer vibration signal recognition based on convolutional neural network
Yong-Hua Cai, Aixia Hou
Journal of Vibroengineering (2021) Vol. 23, Iss. 2, pp. 484-495
Open Access | Times Cited: 6
Application of Adaptive Artificial Bee Colony Algorithm in Reservoir Information Optimal Operation
Lijun Cui
Informatica (2023) Vol. 47, Iss. 2
Open Access | Times Cited: 2
Automatic grading of non-proliferative diabetic retinopathy
Supriya Suman, Anil Kumar Tiwari, Kuldeep Singh
Research on Biomedical Engineering (2023) Vol. 39, Iss. 3, pp. 677-692
Closed Access | Times Cited: 2
A promising approach with confidence level aggregation operators based on single-valued neutrosophic rough sets
Muhammad Kamran, Shahzaib Ashraf, Muhammad Shazib Hameed
Soft Computing (2023)
Closed Access | Times Cited: 2
Toward Lightweight Diabetic Retinopathy Classification: A Knowledge Distillation Approach for Resource-Constrained Settings
Niful Islam, Md. Mehedi Hasan Jony, Emam Hasan, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12397-12397
Open Access | Times Cited: 2
Diabetic Retinopathy Grading with Deep Visual Attention Network
S. Geetha, Mansi Parashar, JS Abhishek, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 09, pp. 160-177
Open Access | Times Cited: 3
Ensemble Architecture for Prediction of Grading of Diabetic Retinopathy
Shruti Jain, Sanket Saxena, Shivam Sinha
Cybernetics & Systems (2022), pp. 1-19
Closed Access | Times Cited: 3
Comparative analysis of deep learning classifiers for diabetic retinopathy identification and detection
P. Rayavel, C. Murukesh
The Imaging Science Journal (2022) Vol. 70, Iss. 6, pp. 358-370
Closed Access | Times Cited: 3
Computer-Aided diagnosis systems for Diabetic Retinopathy: A comprehensive review
Muhammad Abdullah Umar, Gulistan Raja
AIP conference proceedings (2024) Vol. 3125, pp. 030006-030006
Closed Access
Improved Diabetic Retinopathy Severity Classification Using Squeeze-and-excitation and Sparse Light Weight Multi-level Attention U-net With Transfer Learning From Xception
Sachin Bhandari, Sunil Pathak, Sonal Jain, et al.
Research Square (Research Square) (2024)
Open Access
Liver Tumour Detection and Classification using Image Processing and Machine Learning
Manisha Pathak, Sonali Patil, Sanjay Kumar, et al.
(2024), pp. 1-6
Closed Access
Improved diabetic retinopathy severity classification using squeeze-and-excitation and sparse light weight multi-level attention u-net with transfer learning from xception
Sachin Bhandari, Sunil Pathak, Sonal Jain, et al.
Acta Diabetologica (2024)
Closed Access
Deep Learning Framework Design for Diabetic Retinopathy Abnormalities Classification
Meenakshi Sood, Shruti Jain, Charu Bhardwaj
(2024), pp. 1-6
Closed Access
Ensemble Diabetic Retinopathy Detection in 2-D Color Fundus Retina Scan
Himanshu Jindal, Shruti Jain, Akshit Aggarwal
Wireless Personal Communications (2024) Vol. 137, Iss. 3, pp. 1469-1490
Closed Access

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