Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

MSCNN-AM: A Multi-Scale Convolutional Neural Network With Attention Mechanisms for Retinal Vessel Segmentation
Qilong Fu, Shuqiu Li, Xin Wang
IEEE Access (2020) Vol. 8, pp. 163926-163936
Open Access | Times Cited: 32

Showing 1-25 of 32 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: 110
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: 44
Res2Unet: A multi-scale channel attention network for retinal vessel segmentation
Xuejian Li, Jiaqi Ding, Jijun Tang, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 14, pp. 12001-12015
Closed Access | Times Cited: 39
Multibranch and Multiscale Dynamic Convolutional Network for Small Sample Fault Diagnosis of Rotating Machinery
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
IEEE Sensors Journal (2023) Vol. 23, Iss. 8, pp. 8973-8988
Closed Access | Times Cited: 22
Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model
Jing Wang, Guigen Nie, Shengjun Gao, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1055-1055
Open Access | Times Cited: 43
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: 33
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: 32
A Survey on Diabetic Retinopathy Lesion Detection and Segmentation
Anila Sebastian, Omar Elharrouss, Somaya Al‐Maadeed, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5111-5111
Open Access | Times Cited: 17
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
Artery vein classification in fundus images using serially connected U-Nets
Robert Arnar Karlsson, Sveinn Hákon Hardarson
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106650-106650
Closed Access | Times Cited: 21
Defocus deblur method of multi-scale depth-of-field cross-stage fusion image based on defocus map forecast
Pei Li, Tong Bai, Xiaoying Pan, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Contrast quality control for segmentation task based on deep learning models—Application to stroke lesion in CT imaging
J. Moreau, Laura Mechtouff, David Rousseau, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
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
Diabetic and Hypertensive Retinopathy Screening in Fundus Images Using Artificially Intelligent Shallow Architectures
Muhammad Arsalan, Adnan Haider, Jiho Choi, et al.
Journal of Personalized Medicine (2021) Vol. 12, Iss. 1, pp. 7-7
Open Access | Times Cited: 23
Detection of diabetic retinopathy and related retinal disorders using fundus images based on deep learning and image processing techniques: A comprehensive review
B. Lalithadevi, S. Krishnaveni
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 19
Closed Access | Times Cited: 13
Fault diagnosis of axial piston pump based on multi-source subdomain adaptation and sensor data fusion
Hongbin Tang, Yangchun Gong, Jingnan Zhou
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086209-086209
Closed Access | Times Cited: 2
Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning
Wei Shuai, Xue Wu, Chen Chen, et al.
Photodiagnosis and Photodynamic Therapy (2023) Vol. 45, pp. 103885-103885
Open Access | Times Cited: 6
OptiBiNet_GRU: Robust Network Intrusion Detection System Using Optimum Bi-Directional Gated Recurrent Unit
D. Shankar, G Victo, Sudha George, et al.
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 3, pp. 75-91
Open Access | Times Cited: 5
Automated Computationally Intelligent Methods for Ocular Vessel Segmentation and Disease Detection: A Review
Preity, Ashish Kumar Bhandari, S. Shahnawazuddin
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 701-724
Closed Access | Times Cited: 5
DMAGNet: Dual‐path multi‐scale attention guided network for medical image segmentation
Qiulang Ji, Jihong Wang, Caifu Ding, et al.
IET Image Processing (2023) Vol. 17, Iss. 13, pp. 3631-3644
Open Access | Times Cited: 4
GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation
Anila Sebastian, Omar Elharrouss, Somaya Al‐Maadeed, et al.
Bioengineering (2023) Vol. 11, Iss. 1, pp. 4-4
Open Access | Times Cited: 4
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
Deep learning technology in vascular image segmentation and disease diagnosis
Chengyang Du, Jie Zhuang, Xinglu Huang
Journal of intelligent medicine. (2024)
Open Access | Times Cited: 1
Retinal blood vessel segmentation using density-based fuzzy C-means clustering and vessel neighborhood connected component
Kittipol Wisaeng
Measurement (2024) Vol. 242, pp. 116229-116229
Closed Access | Times Cited: 1
In-depth analysis of research hotspots and emerging trends in AI for retinal diseases over the past decade
Mingkai Guo, Di Gong, Weihua Yang
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top