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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:

Automated classification of glaucoma stages using higher order cumulant features
Kevin Noronha, U. Rajendra Acharya, K. Prabhakar Nayak, et al.
Biomedical Signal Processing and Control (2013) Vol. 10, pp. 174-183
Closed Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
U. Raghavendra, Hamido Fujita, Sulatha V. Bhandary, et al.
Information Sciences (2018) Vol. 441, pp. 41-49
Closed Access | Times Cited: 403
Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted From Fundus Images
Shishir Maheshwari, Ram Bilas Pachori, U. Rajendra Acharya
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 3, pp. 803-813
Closed Access | Times Cited: 264
Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image
Huazhu Fu, Jun Cheng, Yanwu Xu, et al.
IEEE Transactions on Medical Imaging (2018) Vol. 37, Iss. 11, pp. 2493-2501
Open Access | Times Cited: 216
Decision support system for the glaucoma using Gabor transformation
U. Rajendra Acharya, E. Y. K. Ng, Lim Wei Jie Eugene, et al.
Biomedical Signal Processing and Control (2014) Vol. 15, pp. 18-26
Open Access | Times Cited: 153
Computer-aided diagnosis of glaucoma using fundus images: A review
Yuki Hagiwara, Joel E.W. Koh, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 165, pp. 1-12
Closed Access | Times Cited: 143
Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models
Yidong Chai, Hongyan Liu, Jie Xu
Knowledge-Based Systems (2018) Vol. 161, pp. 147-156
Closed Access | Times Cited: 140
Iterative variational mode decomposition based automated detection of glaucoma using fundus images
Shishir Maheshwari, Ram Bilas Pachori, Vivek Kanhangad, et al.
Computers in Biology and Medicine (2017) Vol. 88, pp. 142-149
Closed Access | Times Cited: 132
Survey on segmentation and classification approaches of optic cup and optic disc for diagnosis of glaucoma
Niharika Thakur, Mamta Juneja
Biomedical Signal Processing and Control (2018) Vol. 42, pp. 162-189
Closed Access | Times Cited: 125
Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics
Muhammad Mateen, Junhao Wen, Mehdi Hassan, et al.
IEEE Access (2020) Vol. 8, pp. 48784-48811
Open Access | Times Cited: 103
Machine learning applied to retinal image processing for glaucoma detection: review and perspective
Daniele M. S. Barros, Julio C. C. Moura, Cefas Rodrigues Freire, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 103
A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images
U. Rajendra Acharya, Shreya Bhat, Joel E.W. Koh, et al.
Computers in Biology and Medicine (2017) Vol. 88, pp. 72-83
Closed Access | Times Cited: 96
Shape classification of wear particles by image boundary analysis using machine learning algorithms
Wei Yuan, Kwai‐Sang Chin, Meng Hua, et al.
Mechanical Systems and Signal Processing (2015) Vol. 72-73, pp. 346-358
Closed Access | Times Cited: 93
Automatic diagnosis of glaucoma using two-dimensional Fourier-Bessel series expansion based empirical wavelet transform
Pradeep Kumar Chaudhary, Ram Bilas Pachori
Biomedical Signal Processing and Control (2020) Vol. 64, pp. 102237-102237
Closed Access | Times Cited: 85
Deep learning in medical imaging: A brief review
Sertan Serte, Ali Serener, Fadi Al‐Turjman
Transactions on Emerging Telecommunications Technologies (2020) Vol. 33, Iss. 10
Closed Access | Times Cited: 71
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
Vijaya Kumar Velpula, Lakhan Dev Sharma
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 36
Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 27, pp. 42851-42899
Closed Access | Times Cited: 28
Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images
Law Kumar Singh, Munish Khanna, Rekha Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 77873-77944
Closed Access | Times Cited: 13
AN EFFICIET GLAUCOMA PREDICTION AND CLASSIFICATION INTEGRATING RETINAL FUNDUS IMAGES AND CLINICAL DATA USING DnCNN WITH MACHINE LEARNING ALGORITHMS
Bindu Priya Makala, D. Manoj Kumar
Results in Engineering (2025), pp. 104220-104220
Open Access | Times Cited: 1
Fundus image classification methods for the detection of glaucoma: A review
Tanzila Saba, Syedia Tahseen Fatima Bokhari, Muhammad Sharif, et al.
Microscopy Research and Technique (2018) Vol. 81, Iss. 10, pp. 1105-1121
Open Access | Times Cited: 82
Diagnosis of retinal health in digital fundus images using continuous wavelet transform (CWT) and entropies
Joel E.W. Koh, U. Rajendra Acharya, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2017) Vol. 84, pp. 89-97
Closed Access | Times Cited: 78
A new expert system based on fuzzy logic and image processing algorithms for early glaucoma diagnosis
A. Soltani, Tahar Battikh, Imed Jabri, et al.
Biomedical Signal Processing and Control (2017) Vol. 40, pp. 366-377
Closed Access | Times Cited: 73
Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index
U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Joel E.W. Koh, et al.
Computers in Biology and Medicine (2016) Vol. 75, pp. 54-62
Closed Access | Times Cited: 69
Novel expert system for glaucoma identification using non-parametric spatial envelope energy spectrum with fundus images
U. Raghavendra, Sulatha V. Bhandary, Anjan Gudigar, et al.
Journal of Applied Biomedicine (2017) Vol. 38, Iss. 1, pp. 170-180
Closed Access | Times Cited: 65
Automated glaucoma detection using GIST and pyramid histogram of oriented gradients (PHOG) descriptors
Neha Gour, Pritee Khanna
Pattern Recognition Letters (2019) Vol. 137, pp. 3-11
Closed Access | Times Cited: 65
Glaucoma detection using image processing techniques: A literature review
Abdullah Sarhan, Jon Rokne, Reda Alhajj
Computerized Medical Imaging and Graphics (2019) Vol. 78, pp. 101657-101657
Closed Access | Times Cited: 65
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