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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:

Hemorrhage Detection Based on 3D CNN Deep Learning Framework and Feature Fusion for Evaluating Retinal Abnormality in Diabetic Patients
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Sensors (2021) Vol. 21, Iss. 11, pp. 3865-3865
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 807-807
Open Access | Times Cited: 197
Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 168
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 101
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
Multiclass skin lesion localization and classification using deep learning based features fusion and selection framework for smart healthcare
Sarmad Maqsood, Robertas Damaševičius
Neural Networks (2023) Vol. 160, pp. 238-258
Closed Access | Times Cited: 78
Deep Learning-Based Prediction of Diabetic Retinopathy Using CLAHE and ESRGAN for Enhancement
Ghadah Alwakid, Walaa Gouda, Mamoona Humayun
Healthcare (2023) Vol. 11, Iss. 6, pp. 863-863
Open Access | Times Cited: 46
Effective Handling of Missing Values in Datasets for Classification Using Machine Learning Methods
Ashokkumar Palanivinayagam, Robertas Damaševičius
Information (2023) Vol. 14, Iss. 2, pp. 92-92
Open Access | Times Cited: 41
Breast Cancer Detection Using Mammogram Images with Improved Multi-Fractal Dimension Approach and Feature Fusion
Dilovan Asaad Zebari, Dheyaa Ahmed Ibrahim, Diyar Qader Zeebaree, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 12122-12122
Open Access | Times Cited: 79
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
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
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
Variational Autoencoders for Data Augmentation in Clinical Studies
Dimitris Papadopoulos, Vangelis Karalis
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8793-8793
Open Access | Times Cited: 25
A Survey on Diabetic Retinopathy Lesion Detection and Segmentation
Anila Sebastian, Omar Elharrouss, Somaya Al-Máadeed, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5111-5111
Open Access | Times Cited: 17
Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection
D. Dhinakaran, L. Srinivasan, D. Selvaraj, et al.
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 8, pp. 9-21
Open Access | Times Cited: 17
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
EHA-LNN: Optimized light gradient-boosting machine enabled neural network for cancer detection using mammography
M. Ganesh Kumar, Sreenath Kocharla, N. Yaswanth, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107540-107540
Closed Access
Diabetic retinopathy detection via exudates and hemorrhages segmentation using iterative NICK thresholding, watershed, and Chi2 feature ranking
Patsaphon Chandhakanond, Pakinee Aimmanee
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A study on effective data preprocessing and augmentation method in diabetic retinopathy classification using pre-trained deep learning approaches
Ramazan İncir, Ferhat Bozkurt
Multimedia Tools and Applications (2023) Vol. 83, Iss. 4, pp. 12185-12208
Closed Access | Times Cited: 14
MFEFNet: Multi-scale feature enhancement and Fusion Network for polyp segmentation
Yang Xia, Haijiao Yun, Yanjun Liu
Computers in Biology and Medicine (2023) Vol. 157, pp. 106735-106735
Closed Access | Times Cited: 13
Deep learning-enhanced diabetic retinopathy image classification
Ghadah Alwakid, Walaa Gouda, Mamoona Humayun, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 12
DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images
Anas Bilal, Azhar Imran, Talha Imtiaz Baig, et al.
Computer Systems Science and Engineering (2024) Vol. 48, Iss. 2, pp. 511-528
Open Access | Times Cited: 4
Detection of glaucoma using three-stage training with EfficientNet
I. de Zarzà, J. de Curtò, Carlos T. Calafate
Intelligent Systems with Applications (2022) Vol. 16, pp. 200140-200140
Open Access | Times Cited: 18
Computer-aided system for bleeding detection in WCE images based on CNN-GRU network
Samira Lafraxo, Mohamed El Ansari, Lahcen Koutti
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 21081-21106
Closed Access | Times Cited: 11
Tensile and flexural response of 3D printed solid and porous CCFRPC structures and fracture interface study using image processing technique
Nabeel Maqsood, Marius Rimašauskas
Journal of Materials Research and Technology (2021) Vol. 14, pp. 731-742
Open Access | Times Cited: 26
Detection of retinopathy disease using morphological gradient and segmentation approaches in fundus images
Mesut Toğaçar
Computer Methods and Programs in Biomedicine (2021) Vol. 214, pp. 106579-106579
Closed Access | Times Cited: 21
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