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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:

Improved Grey Wolf Optimization-Based Feature Selection and Classification Using CNN for Diabetic Retinopathy Detection
Anas Bilal, Guangmin Sun, Sarah Mazhar, et al.
Lecture notes on data engineering and communications technologies (2022), pp. 1-14
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning
Anas Bilal, Liucun Zhu, Anan Deng, et al.
Symmetry (2022) Vol. 14, Iss. 7, pp. 1427-1427
Open Access | Times Cited: 126
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
Anas Bilal, Azhar Imran, Talha Imtiaz Baig, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0295951-e0295951
Open Access | Times Cited: 43
NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data
Anas Bilal, Xiaowen Liu, Muhammad Shafiq, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108099-108099
Closed Access | Times Cited: 39
Breast cancer diagnosis using support vector machine optimized by improved quantum inspired grey wolf optimization
Anas Bilal, Azhar Imran, Talha Imtiaz Baig, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 26
IGWO-IVNet3: DL-Based Automatic Diagnosis of Lung Nodules Using an Improved Gray Wolf Optimization and InceptionNet-V3
Anas Bilal, Muhammad Shafiq, Fang Fang, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9603-9603
Open Access | Times Cited: 45
EdgeSVDNet: 5G-Enabled Detection and Classification of Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images
Anas Bilal, Xiaowen Liu, Talha Imtiaz Baig, et al.
Electronics (2023) Vol. 12, Iss. 19, pp. 4094-4094
Open Access | Times Cited: 34
MHSAGGCN-BCOA: A novel deep learning based approach for diabetic retinopathy detection
M. Bindu Priya, D. Manoj Kumar
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107569-107569
Closed 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
Classification of Diabetic Retinopathy Using Optimization Driven Automated Self-Feature Selected Light Gradient Boosting Mechanism
Shobhana, Lakshmi Patil
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Wavelet Based Classification Using Meta-Heuristic Algorithm with Deep Transfer Learning Technique
Anupam Pandey, Vikas Pandey
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy
Lakshay Arora, Sunil K. Singh, Sudhakar Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
The Need for Artificial Intelligence Based Risk Factor Analysis for Age-Related Macular Degeneration: A Review
Abhishek Vyas, Sundaresan Raman, Janani Surya, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 130-130
Open Access | Times Cited: 12
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
Assessment of Retinal Blood Vessel Segmentation Using U-Net Model: A Deep Learning Approach
Smita Das, Suvadip Chakraborty, Madhusudhan Mishra, et al.
Franklin Open (2024) Vol. 8, pp. 100143-100143
Open Access | Times Cited: 2
DT-Net: Joint Dual-Input Transformer and CNN for Retinal Vessel Segmentation
Wenran Jia, Simin Ma, Peng Geng, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 3393-3411
Open Access | Times Cited: 5
Advancing prostate cancer detection: a comparative analysis of PCLDA-SVM and PCLDA-KNN classifiers for enhanced diagnostic accuracy
Priya Dubey, Surendra Kumar
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Detection and Classification of Early Stage Diabetic Retinopathy using Artificial Intelligence and Image Processing
C. Aravindan, R. Vasuki
(2023)
Closed Access | Times Cited: 4
Adaptive Speech Coding Method Based on Singular Value Decomposition and Grey Wolf Optimization for Arabic Language
Hassan Kassim Albahadily, Alaa A. Jabbar Altaay, Jamal N. Hasson
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 5, pp. 449-457
Open Access | Times Cited: 1
Enhancing retinal fundus image classification through Active Gradient Deep Convolutional Neural Network and Red Spider Optimization
S. Krishnakumar, Archana Naganathan
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16607-16619
Closed Access | Times Cited: 1
Active convolutional neural networks sign language (ActiveCNN-SL) framework: a paradigm shift in deaf-mute communication
Hanaa ZainEldin, Nadiah A. Baghdadi, Samah A. Gamel, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 1
Multi‐Deep Learning Approach With Transfer Learning for 7‐Stages Diabetic Retinopathy Classification
Abdul Qadir Khan, Guangmin Sun, Majdi Khalid, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 6
Closed Access | Times Cited: 1
Efficient diabetic retinopathy diagnosis through U-Net – KNN integration in retinal fundus images
V. Selvakumar, C. Akila
Automatika (2023) Vol. 64, Iss. 4, pp. 1148-1157
Open Access | Times Cited: 3
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
HarDNet and Dual-Code Attention Mechanism Based Model for Medical Images Segmentation
Tongping Shen, Fang‐Liang Huang, Huanqing Xu
IEEE Access (2023) Vol. 11, pp. 47827-47835
Open Access | Times Cited: 2
An attention enriched encoder–decoder architecture with CLSTM and RES unit for segmenting exudate in retinal images
Souvik Maiti, Debasis Maji, Ashis Kumar Dhara, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 4, pp. 3329-3339
Closed Access
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