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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 Retinopathy Diagnosis From Fundus Images Using Stacked Generalization of Deep Models
Harshit Kaushik, Dilbag Singh, Manjit Kaur, et al.
IEEE Access (2021) Vol. 9, pp. 108276-108292
Open Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
Md. Robiul Islam, Lway Faisal Abdulrazak, Md. Nahiduzzaman, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105602-105602
Open Access | Times Cited: 88
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images
Mohaimenul Azam Khan Raiaan, Kaniz Fatema, Inam Ullah Khan, et al.
IEEE Access (2023) Vol. 11, pp. 42361-42388
Open Access | Times Cited: 55
A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
Anila Sebastian, Omar Elharrouss, Somaya Al‐Maadeed, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 345-345
Open Access | Times Cited: 48
An Advance Approach for Diabetes Detection by Implementing Machine Learning Algorithms
Shagun Preet Kour, Abhishek Kumar, Sachin Ahuja
2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (2023), pp. 136-141
Closed Access | Times Cited: 39
A Robust and Novel Approach for Brain Tumor Classification Using Convolutional Neural Network
Tahia Tazin, Sraboni Sarker, Punit Gupta, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 74
Text-Based Emotion Recognition Using Deep Learning Approach
Santosh Kumar Bharti, S Varadhaganapathy, Rajeev Kumar Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 60
Deep Neural Network Based Vehicle Detection and Classification of Aerial Images
Sandeep Kumar, Arpit Jain, Shilpa Rani, et al.
Intelligent Automation & Soft Computing (2022) Vol. 34, Iss. 1, pp. 119-131
Open Access | Times Cited: 57
Efficient 3D AlexNet Architecture for Object Recognition Using Syntactic Patterns from Medical Images
Shilpa Rani, Deepika Ghai, Sandeep Kumar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 55
A Comprehensive Review of Deep Learning Strategies in Retinal Disease Diagnosis Using Fundus Images
G Balla, Mohammad Farukh Hashmi, Zong Woo Geem, et al.
IEEE Access (2022) Vol. 10, pp. 57796-57823
Open Access | Times Cited: 54
Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework
Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 39
A Systematic Review on Acute Leukemia Detection Using Deep Learning Techniques
Rohini Raina, Naveen Kumar Gondhi, Chaahat, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 1, pp. 251-270
Closed Access | Times Cited: 37
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
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: 22
Multi-Level severity classification for diabetic retinopathy based on hybrid optimization enabled deep learning
S. Zulaikha Beevi
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104736-104736
Closed Access | Times Cited: 21
Synthesis of Convolutional Neural Network architectures for biomedical image classification
Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106325-106325
Closed Access | Times Cited: 8
Spoken Language Identification Using Deep Learning
Gundeep Singh, Sahil Sharma, Vijay Kumar, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 49
Delay-Driven Opportunistic Routing with Multichannel Cooperative Neighbor Discovery for Industry 4.0 Wireless Networks Based on Power and Load Awareness
Aditya Pai H, Khalid K. Almuzaini, Liaqat Ali, et al.
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 36
Diabetic retinopathy detection and grading of retinal fundus images using coyote optimization algorithm with deep learning
K. Parthiban, M. Kamarasan
Multimedia Tools and Applications (2022) Vol. 82, Iss. 12, pp. 18947-18966
Closed Access | Times Cited: 32
ResDenseNet:Hybrid Convolutional Neural Network Model for Advanced Classification of Diabetic Retinopathy(DR) in Retinal Image Analysis
Sashi Kanth Betha
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 6
A pilot study on diabetes detection using handheld fundus camera and mobile app development
Hamada R. H. Al-Absi, Gilbert Njihia Muchori, Saleh Musleh, et al.
Deleted Journal (2025) Vol. 7, Iss. 2
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
Towards Explainable Ear Recognition Systems Using Deep Residual Networks
Hammam Alshazly, Christoph Linse, Erhardt Barth, et al.
IEEE Access (2021) Vol. 9, pp. 122254-122273
Open Access | Times Cited: 39
iSecureHome: A deep fusion framework for surveillance of smart homes using real-time emotion recognition
Harshit Kaushik, Tarun Kumar, Kriti Bhalla
Applied Soft Computing (2022) Vol. 122, pp. 108788-108788
Closed Access | Times Cited: 25
Detection of Peripheral Malarial Parasites in Blood Smears Using Deep Learning Models
Amal H. Alharbi, Aravinda C. V, Lin Meng, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 25
Segmentation and Classification of White Blood Cells Using the UNet
Amal H. Alharbi, C. V. Aravinda, Lin Meng, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 25
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