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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:

Transfer learning based robust automatic detection system for diabetic retinopathy grading
Charu Bhardwaj, Shruti Jain, Meenakshi Sood
Neural Computing and Applications (2021) Vol. 33, Iss. 20, pp. 13999-14019
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 234
Artificial intelligence for diabetic retinopathy detection: A systematic review
Archana Senapati, Hrudaya Kumar Tripathy, Vandana Sharma, et al.
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101445-101445
Open Access | Times Cited: 16
A novel deep transfer learning based computerized diagnostic Systems for Multi-class imbalanced diabetic retinopathy severity classification
Richa Vij, Sakshi Arora
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34847-34884
Closed Access | Times Cited: 27
Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique
B. Lalithadevi, S. Krishnaveni
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis
J G Zhang, Hang Li, Dexuan Xu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 25543-25557
Closed Access | Times Cited: 8
Grading diabetic retinopathy using multiresolution based CNN
K. Ashwini, Ratnakar Dash
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105210-105210
Closed Access | Times Cited: 19
A Regression-Based Approach to Diabetic Retinopathy Diagnosis Using Efficientnet
Midhula Vijayan, S Venkatakrishnan
Diagnostics (2023) Vol. 13, Iss. 4, pp. 774-774
Open Access | Times Cited: 15
Comparative study of different machine learning models for automatic diabetic retinopathy detection using fundus image
Shubhi Gupta, Sanjeev Thakur, Ashutosh Gupta
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 34291-34322
Closed Access | Times Cited: 14
Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applications
Haseeb Javed, Shaker El-Sappagh, Tamer Abuhmed
Artificial Intelligence Review (2024) Vol. 58, Iss. 1
Open Access | Times Cited: 5
Diabetic Retinopathy Severity Classification Using Data Fusion and Ensemble Transfer Learning
Shabib Aftab, Samia Akhtar
Journal of Software Engineering and Applications (2025) Vol. 18, Iss. 01, pp. 1-23
Closed Access
An efficient automatic diabetic retinopathy grading using a two-way cascaded convolution neural network
N. S. Kavitha, N. Kasthuri
Deleted Journal (2025) Vol. 28, Iss. 1
Open Access
A deep learning based model for diabetic retinopathy grading
Samia Akhtar, Shabib Aftab, Omar Farouk, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancing diabetic retinopathy classification using ensemble deep learning approaches
Ankur Biswas, Rita Banik
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107804-107804
Closed Access
Exploring emotion classification of indonesian tweets using large scale transfer learning via IndoBERT
C Shaw, Phillip M. LaCasse, L. Champagne
Social Network Analysis and Mining (2025) Vol. 15, Iss. 1
Open Access
A Deep Learning Approach for Detecting Diabetic Retinopathy Using Fundus Images
V. Mahalakshmi, Akshara R. Balachandra, B. Kanisha, et al.
Communications in computer and information science (2025), pp. 12-24
Closed Access
Fused information of DeepLabv3+ and transfer learning model for semantic segmentation and rich features selection using equilibrium optimizer (EO) for classification of NPDR lesions
Javeria Amin, Muhammad Almas Anjum, M. A. Malik
Knowledge-Based Systems (2022) Vol. 249, pp. 108881-108881
Closed Access | Times Cited: 18
Deep learning in the grading of diabetic retinopathy: A review
Nurul Mirza Afiqah Tajudin, Kuryati Kipli, Muhammad Hamdi Mahmood, et al.
IET Computer Vision (2022) Vol. 16, Iss. 8, pp. 667-682
Open Access | Times Cited: 17
A Comprehensive Review of Diabetic Retinopathy Detection and Grading Based on Deep Learning and Metaheuristic Optimization Techniques
A. Mary Dayana, W. R. Sam Emmanuel
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4565-4599
Closed Access | Times Cited: 9
Pulmonary Nodule Classification Using Feature and Ensemble Learning-Based Fusion Techniques
Muhammad Muzammil, Imdad Ali, Ihsan Ul Haq, et al.
IEEE Access (2021) Vol. 9, pp. 113415-113427
Open Access | Times Cited: 21
An intelligent approach for detection and grading of diabetic retinopathy and diabetic macular edema using retinal images
Pranoti Nage, Sanjay Shitole, Manesh Kokare
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 5, pp. 1625-1640
Closed Access | Times Cited: 8
Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
Huma Naz, Neelu Jyothi Ahuja, Rahul Nijhawan
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 2
OHGCNet: Optimal feature selection-based hybrid graph convolutional network model for joint DR-DME classification
V. Purna Chandra Reddy, Kiran Kumar Gurrala
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103952-103952
Closed Access | Times Cited: 12
IMDE-UGAN: Improved Memetic Direction Exploitation Optimized U-Net Generative Adversarial Network for Classification of Diabetic Retinopathy
S. Karthika, M. Durgadevi
IETE Journal of Research (2024) Vol. 70, Iss. 8, pp. 6802-6818
Closed Access | Times Cited: 2
Diabetic retinopathy grading review: Current techniques and future directions
Wadha Almattar, Hamzah Luqman, Fakhri Alam Khan
Image and Vision Computing (2023) Vol. 139, pp. 104821-104821
Closed Access | Times Cited: 5
Diabetic Retinopathy Detection Using Transfer Learning
R. Parvathi, U. Vignesh
Advances in medical technologies and clinical practice book series (2023), pp. 177-204
Closed Access | Times Cited: 4
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