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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:

D-GaussianNet: Adaptive Distorted Gaussian Matched Filter with Convolutional Neural Network for Retinal Vessel Segmentation
Dora E. Alvarado-Carrillo, Emmanuel Ovalle-Magallanes, Oscar Dalmau
Communications in computer and information science (2021), pp. 378-392
Closed Access | Times Cited: 24

Showing 24 citing articles:

Retinal Vessel Segmentation Using Deep Learning: A Review
Chunhui Chen, Joon Huang Chuah, Ali Raza, et al.
IEEE Access (2021) Vol. 9, pp. 111985-112004
Open Access | Times Cited: 112
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images
Yanhong Liu, Ji Shen, Lei Yang, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104087-104087
Closed Access | Times Cited: 101
GDF-Net: A multi-task symmetrical network for retinal vessel segmentation
Jianyong Li, Ge Gao, Lei Yang, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104426-104426
Closed Access | Times Cited: 45
MAGF-Net: A multiscale attention-guided fusion network for retinal vessel segmentation
Jianyong Li, Ge Gao, Yanhong Liu, et al.
Measurement (2022) Vol. 206, pp. 112316-112316
Closed Access | Times Cited: 39
DPF-Net: A Dual-Path Progressive Fusion Network for Retinal Vessel Segmentation
Jianyong Li, Ge Gao, Lei Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-17
Closed Access | Times Cited: 23
A Survey of Deep Learning for Retinal Blood Vessel Segmentation Methods: Taxonomy, Trends, Challenges and Future Directions
Olubunmi Omobola Sule
IEEE Access (2022) Vol. 10, pp. 38202-38236
Open Access | Times Cited: 34
A Systematic Review on Diabetic Retinopathy Detection Using Deep Learning Techniques
Richa Vij, Sakshi Arora
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 2211-2256
Closed Access | Times Cited: 33
Width Attention based Convolutional Neural Network for Retinal Vessel Segmentation
Dora E. Alvarado-Carrillo, Oscar Dalmau
Expert Systems with Applications (2022) Vol. 209, pp. 118313-118313
Closed Access | Times Cited: 29
An improved supervised and attention mechanism-based U-Net algorithm for retinal vessel segmentation
Zhendi Ma, Xiaobo Li
Computers in Biology and Medicine (2023) Vol. 168, pp. 107770-107770
Closed Access | Times Cited: 15
A multi-scale global attention network for blood vessel segmentation from fundus images
Ge Gao, Jianyong Li, Lei Yang, et al.
Measurement (2023) Vol. 222, pp. 113553-113553
Closed Access | Times Cited: 12
Deep learning for retinal vessel segmentation: a systematic review of techniques and applications
Zhihui Liu, Mohd Shahrizal Sunar, Tan Tian Swee, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
Feature preserving mesh network for semantic segmentation of retinal vasculature to support ophthalmic disease analysis
Syed Muhammad Ali Imran, Muhammad Waqas Saleem, Muhammad Talha Hameed, et al.
Frontiers in Medicine (2023) Vol. 9
Open Access | Times Cited: 9
Forestry Ecosystem Protection from the Perspective of Eco-civilization Based on Self-Attention Using Hierarchical Dilated Convolutional Neural Network
Rui Meng
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Wavelet transform and edge loss-based three-stage segmentation model for retinal vessel
Xuecheng Li, Yuanjie Zheng, Mengwei Zang, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105355-105355
Closed Access | Times Cited: 4
Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network
Guoye Lin, Hanhua Bai, Jie Zhao, et al.
Medical Physics (2022) Vol. 49, Iss. 7, pp. 4494-4507
Closed Access | Times Cited: 7
Infrared thermal images using PCSAN‐Net‐DBOA: An approach of breast cancer classification
S. M. Vijayarajan, D. Manoj Kumar, G. Sudha, et al.
Microscopy Research and Technique (2024) Vol. 87, Iss. 8, pp. 1742-1752
Closed Access | Times Cited: 1
A Systematic Review on Deep Learning Techniques for Diabetic Retinopathy Segmentation and Detection Using Ocular Imaging Modalities
Richa Vij, Sakshi Arora
Wireless Personal Communications (2024) Vol. 134, Iss. 2, pp. 1153-1229
Closed Access | Times Cited: 1
Optimal Deep Transfer Learning Models for Stenosis Detection in X-ray Angiography Images
Emmanuel Ovalle-Magallanes, Juan Gabriel Avina–Cervantes, Iván Cruz-Aceves, et al.
Intelligent systems reference library (2024), pp. 119-141
Closed Access | Times Cited: 1
Deep Learning-based Coronary Stenosis Detection in X-ray Angiography Images: Overview and Future Trends
Emmanuel Ovalle-Magallanes, Dora E. Alvarado-Carrillo, Juan Gabriel Avina–Cervantes, et al.
Intelligent systems reference library (2022), pp. 197-223
Closed Access | Times Cited: 6
Factorized U-net for Retinal Vessel Segmentation
Javier Gurrola-Ramos, Oscar Dalmau, Teresa E. Alarcón
Lecture notes in computer science (2022), pp. 181-190
Closed Access | Times Cited: 3
Optimized Hamiltonian Deep Neural Network-Based Art Education Teaching Content and Evaluation System
Qiuyu Long
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 2714-2725
Open Access
Revolutionizing diabetic retinopathy detection using DB-SCA-UNet with Drop Block-Based Attention Model in deep learning for precise analysis of color retinal images
Anil Kumar Bondala, Kranthi Kumar Lella
The European Physical Journal Special Topics (2024)
Closed Access
Fault Detection and Fault Location in a Grid‐Connected Microgrid Using Optimized Deep Learning Neural Network
R. Karthick, R. Saravanan, P. Arulkumar
Optimal Control Applications and Methods (2024)
Closed Access
Big data and artificial intelligence in ophthalmology - clinical application and future exploration
Tae‐im Kim, Darren Shu, Jeng Ting, et al.
Frontiers research topics (2023)
Open Access
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