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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:

Extraction of Blood Vessels in Fundus Images of Retina through Hybrid Segmentation Approach
Ramakrishnan Sundaram, K. S. Ravichandran, Premaladha Jayaraman, et al.
Mathematics (2019) Vol. 7, Iss. 2, pp. 169-169
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Aiding the Diagnosis of Diabetic and Hypertensive Retinopathy Using Artificial Intelligence-Based Semantic Segmentation
Muhammad Arsalan, Muhammad Owais, Tahir Mahmood, et al.
Journal of Clinical Medicine (2019) Vol. 8, Iss. 9, pp. 1446-1446
Open Access | Times Cited: 94
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
Automatic Classification of Colour Fundus Images for Prediction Eye Disease Types Based on Hybrid Features
Ahlam Shamsan, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1706-1706
Open Access | Times Cited: 29
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
A Hybrid Method to Enhance Thick and Thin Vessels for Blood Vessel Segmentation
Sonali Dash, Sahil Verma, Kavita Kavita, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2017-2017
Open Access | Times Cited: 50
Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy
Muhammad Arsalan, Adnan Haider, Young Won Lee, et al.
Expert Systems with Applications (2022) Vol. 200, pp. 117009-117009
Closed Access | Times Cited: 31
A fast and fully automated system for glaucoma detection using color fundus photographs
Sajib Saha, Janardhan Vignarajan, Shaun Frost
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 21
An Unsupervised Retinal Vessel Segmentation Using Hessian and Intensity Based Approach
Musaed Alhussein, Khursheed Aurangzeb, Syed Irtaza Haider
IEEE Access (2020) Vol. 8, pp. 165056-165070
Open Access | Times Cited: 45
Presentation of a Segmentation Method for a Diabetic Retinopathy Patient’s Fundus Region Detection Using a Convolutional Neural Network
Amin Valizadeh, Saeid Jafarzadeh Ghoushchi, Ramin Ranjbarzadeh, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 32
Deep learning methods hold promise for light fluence compensation in three-dimensional optoacoustic imaging
Arumugaraj Madasamy, Vipul Gujrati, Vasilis Ntziachristos, et al.
Journal of Biomedical Optics (2022) Vol. 27, Iss. 10
Open Access | Times Cited: 21
Multifilters-Based Unsupervised Method for Retinal Blood Vessel Segmentation
Nayab Muzammil, Syed Ayaz Ali Shah, Aamir Shahzad, et al.
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6393-6393
Open Access | Times Cited: 20
A Multi-Scale Directional Line Detector for Retinal Vessel Segmentation
Ahsan Khawaja, Tariq M. Khan, Mohammad A. U. Khan, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 4949-4949
Open Access | Times Cited: 35
Automated Computer-Aided Diagnosis of Diabetic Retinopathy Based on Segmentation and Classification using K-nearest neighbor algorithm in retinal images
Jaspreet Kaur, Prabhpreet Kaur
The Computer Journal (2022) Vol. 66, Iss. 8, pp. 2011-2032
Closed Access | Times Cited: 18
Analysis of retinal blood vessel segmentation techniques: a systematic survey
K. Kumar, Nagendra Singh
Multimedia Tools and Applications (2022) Vol. 82, Iss. 5, pp. 7679-7733
Closed Access | Times Cited: 18
A comprehensive diagnosis system for early signs and different diabetic retinopathy grades using fundus retinal images based on pathological changes detection
Eman AbdelMaksoud, Sherif Barakat, Mohammed Elmogy
Computers in Biology and Medicine (2020) Vol. 126, pp. 104039-104039
Closed Access | Times Cited: 25
An iris segmentation using harmony search algorithm and fast circle fitting with blob detection
Kamil Malinowski, Khalid Saeed
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 391-403
Open Access | Times Cited: 14
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: 8
Retinal Vessel Segmentation with Slime-Mould-Optimization based Multi-Scale-Matched-Filter
Seifedine Kadry, V. Rajinikanth, Robertas Damaševičius, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 19
Artificial Intelligence-Driven Eye Disease Classification Model
Abdul Rahaman Wahab Sait
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11437-11437
Open Access | Times Cited: 7
Accurate Diagnosis of Diabetic Retinopathy and Glaucoma Using Retinal Fundus Images Based on Hybrid Features and Genetic Algorithm
Nasser Tamim, Mohamed Elshrkawey, Hamed Nassar
Applied Sciences (2021) Vol. 11, Iss. 13, pp. 6178-6178
Open Access | Times Cited: 13
A Deep Bottleneck U-Net Combined With Saliency Map For Classifying Diabetic Retinopathy In Fundus Images
Vo Thi Hong Tuyet, Nguyễn Thanh Bình, Tin T. Dang
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 02, pp. 105-122
Open Access | Times Cited: 9
Segmenting Retinal Vessels Using a Shallow Segmentation Network to Aid Ophthalmic Analysis
Muhammad Arsalan, Adnan Haider, Ja Hyung Koo, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1536-1536
Open Access | Times Cited: 9
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
Overview and Analysis of Present-Day Diabetic Retinopathy (DR) Detection Techniques
Smita Das, Swanirbhar Majumder
Advances in healthcare information systems and administration book series (2022), pp. 52-80
Closed Access | Times Cited: 4
A vessel segmentation technique for retinal images
Mehwish Iqbal, Muhammad Mohsin Riaz, Abdul Ghafoor, et al.
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 1, pp. 160-167
Closed Access | Times Cited: 4
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