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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:

Comparative Analysis of Vessel Segmentation Techniques in Retinal Images
Azhar Imran, Jianqiang Li, Yan Pei, et al.
IEEE Access (2019) Vol. 7, pp. 114862-114887
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

AI in Medical Imaging Informatics: Current Challenges and Future Directions
Andreas S. Panayides, Amir A. Amini, Nenad Filipović, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 7, pp. 1837-1857
Open Access | Times Cited: 407
Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature
Seyedeh M. Zekavat, Vineet K. Raghu, Mark Trinder, et al.
Circulation (2021) Vol. 145, Iss. 2, pp. 134-150
Open Access | Times Cited: 111
A Deep Learning Approach for Liver and Tumor Segmentation in CT Images Using ResUNet
Hameedur Rahman, Tanvir Fatima Naik Bukht, Azhar Imran, et al.
Bioengineering (2022) Vol. 9, Iss. 8, pp. 368-368
Open Access | Times Cited: 74
Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET
M. Krithika alias AnbuDevi, K. Suganthi
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3064-3064
Open Access | Times Cited: 69
Recent trends and advances in fundus image analysis: A review
Shahzaib Iqbal, Tariq M. Khan, Khuram Naveed, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106277-106277
Closed Access | Times Cited: 57
ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images
Jahanzaib Latif, Shanshan Tu, Chuangbai Xiao, et al.
SN Applied Sciences (2022) Vol. 4, Iss. 4
Open Access | Times Cited: 53
SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation
Jihyoung Ryu, Mobeen Ur Rehman, Imran Fareed Nizami, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107132-107132
Closed Access | Times Cited: 35
Retinal Blood Vessel Segmentation Using Hybrid Features and Multi-Layer Perceptron Neural Networks
Nasser Tamim, Mohamed Elshrkawey, Gamil Abdel-Azim, et al.
Symmetry (2020) Vol. 12, Iss. 6, pp. 894-894
Open Access | Times Cited: 55
Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector
Alexander Ze Hwan Ooi, Embong Zunaina, Aini Ismafairus Abd Hamid, et al.
Sensors (2021) Vol. 21, Iss. 19, pp. 6380-6380
Open Access | Times Cited: 42
A novel framework for retinal vessel segmentation using optimal improved frangi filter and adaptive weighted spatial FCM
Sakambhari Mahapatra, Sanjay Agrawal, Pranaba K. Mishro, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105770-105770
Closed Access | Times Cited: 36
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
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: 28
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images
Yogesh Kumar, Bharat Gupta
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104776-104776
Closed Access | Times Cited: 19
Cataract Detection Using Convolutional Neural Network with VGG-19 Model
Md. Sajjad Mahmud Khan, Mahiuddin Ahmed, Raseduz Zaman Rasel, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2021), pp. 0209-0212
Closed Access | Times Cited: 36
Deep dive in retinal fundus image segmentation using deep learning for retinopathy of prematurity
Ranjana Agrawal, Sucheta Kulkarni, Rahee Walambe, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 8, pp. 11441-11460
Closed Access | Times Cited: 26
Retinal Vessel Extraction via Assisted Multi-Channel Feature Map and U-Net
Surbhi Bhatia, Shadab Alam, Mohammed Shuaib, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 26
Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review
Jahanzaib Latif, Chuangbai Xiao, Shanshan Tu, et al.
IEEE Access (2020) Vol. 8, pp. 150489-150513
Open Access | Times Cited: 38
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
An Efficient and Light Weight Deep Learning Model for Accurate Retinal Vessels Segmentation
Khursheed Aurangzeb, Rasha Sarhan Alharthi, Syed Irtaza Haider, et al.
IEEE Access (2022) Vol. 11, pp. 23107-23118
Open Access | Times Cited: 20
Challenges for ocular disease identification in the era of artificial intelligence
Neha Gour, M. Tanveer, Pritee Khanna
Neural Computing and Applications (2022) Vol. 35, Iss. 31, pp. 22887-22909
Closed Access | Times Cited: 19
ResMU-Net: Residual Multi-kernel U-Net for blood vessel segmentation in retinal fundus images
Sachin Panchal, Manesh Kokare
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105859-105859
Closed Access | Times Cited: 11
Growing Trend to Adopt Speckle Variance Optical Coherence Tomography for Biological Tissue Assessments in Pre-Clinical Applications
Ruchire Eranga Wijesinghe, Nipun Shantha Kahatapitiya, Changho Lee, et al.
Micromachines (2024) Vol. 15, Iss. 5, pp. 564-564
Open Access | Times Cited: 4
Collation of a Few Retinal Vessel Segmentation Techniques: Is the Problem Solved?
Varun Makkar, Arya Tewary, Rajesh K. Pandey, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Microscope‐Assisted Hypertensive Retinopathy Diagnosis Using Deep Learning Models
Shahzad Akbar, Usama Shahzore, Tanzila Saba, et al.
Microscopy Research and Technique (2025)
Closed Access
Punctured window based multiscale line detector for efficient segmentation of retinal blood vessels
Varun Makkar, Arya Tewary, Brajesh Kumar, et al.
Computers in Biology and Medicine (2025) Vol. 191, pp. 110155-110155
Closed Access
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