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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:

Novel risk index for the identification of age-related macular degeneration using radon transform and DWT features
U. Rajendra Acharya, Muthu Rama Krishnan Mookiah, Joel E.W. Koh, et al.
Computers in Biology and Medicine (2016) Vol. 73, pp. 131-140
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database
Joon Yul Choi, Tae Keun Yoo, Jeong Gi Seo, et al.
PLoS ONE (2017) Vol. 12, Iss. 11, pp. e0187336-e0187336
Open Access | Times Cited: 248
The current state of artificial intelligence in ophthalmology
Rahul Kapoor, Stephen Walters, Lama A. Al‐Aswad
Survey of Ophthalmology (2018) Vol. 64, Iss. 2, pp. 233-240
Closed Access | Times Cited: 160
Age-related Macular Degeneration detection using deep convolutional neural network
Jen Hong Tan, Sulatha V. Bhandary, Sobha Sivaprasad, et al.
Future Generation Computer Systems (2018) Vol. 87, pp. 127-135
Closed Access | Times Cited: 144
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
Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features
Qaisar Abbas, Irene Fondón, Auxiliadora Sarmiento, et al.
Medical & Biological Engineering & Computing (2017) Vol. 55, Iss. 11, pp. 1959-1974
Closed Access | Times Cited: 141
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: 131
Automated characterization of fatty liver disease and cirrhosis using curvelet transform and entropy features extracted from ultrasound images
U. Rajendra Acharya, U. Raghavendra, Hamido Fujita, et al.
Computers in Biology and Medicine (2016) Vol. 79, pp. 250-258
Closed Access | Times Cited: 105
Application of multiresolution analysis for automated detection of brain abnormality using MR images: A comparative study
Anjan Gudigar, U. Raghavendra, Ru San Tan, et al.
Future Generation Computer Systems (2018) Vol. 90, pp. 359-367
Closed Access | Times Cited: 100
AMDNet23: Hybrid CNN-LSTM deep learning approach with enhanced preprocessing for age-related macular degeneration (AMD) detection
Md. Aiyub Ali, Md. Shakhawat Hossain, Md. Kawsar Hossain, et al.
Intelligent Systems with Applications (2024) Vol. 21, pp. 200334-200334
Open Access | Times Cited: 8
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: 77
Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images
Dheeraj Agrawal, Bhupendra Singh Kirar, Ram Bilas Pachori
IET Image Processing (2019) Vol. 13, Iss. 13, pp. 2401-2408
Open Access | Times Cited: 63
Automated Classification of Glaucoma Stages Using Flexible Analytic Wavelet Transform From Retinal Fundus Images
Deepak Parashar, Dheeraj Agrawal
IEEE Sensors Journal (2020) Vol. 20, Iss. 21, pp. 12885-12894
Closed Access | Times Cited: 63
Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Shishir Maheshwari, Vivek Kanhangad, Ram Bilas Pachori, et al.
Computers in Biology and Medicine (2018) Vol. 105, pp. 72-80
Closed Access | Times Cited: 54
Diagnosis of diabetic retinopathy using multi level set segmentation algorithm with feature extraction using SVM with selective features
J. Pradeep Kandhasamy, S. Balamurali, Seifedine Kadry, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 15-16, pp. 10581-10596
Closed Access | Times Cited: 50
A comprehensive review of optic disc segmentation methods in adult and pediatric retinal images: from conventional methods to artificial intelligence (CR-ODSeg-AP-CM2AI)
Avinash Bansal, Jan Kubíček, Marek Penhaker, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Automated detection of retinal health using PHOG and SURF features extracted from fundus images
Joel E.W. Koh, E. Y. K. Ng, Sulatha V. Bhandary, et al.
Applied Intelligence (2017)
Closed Access | Times Cited: 42
Novel and accurate non-linear index for the automated detection of haemorrhagic brain stroke using CT images
U. Raghavendra, The‐Hanh Pham, Anjan Gudigar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 2, pp. 929-940
Open Access | Times Cited: 30
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features
Rajneesh Kumar Patel, Manish Kashyap
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 1, pp. 246-261
Closed Access | Times Cited: 20
AUTOMATED DETECTION OF ATRIAL FIBRILLATION ECG SIGNALS USING TWO STAGE VMD AND ATRIAL FIBRILLATION DIAGNOSIS INDEX
Rajesh Kumar Tripathy, Mario R. Arrieta Paternina, Juan G. Arrieta, et al.
Journal of Mechanics in Medicine and Biology (2017) Vol. 17, Iss. 07, pp. 1740044-1740044
Closed Access | Times Cited: 32
Automated method for real-time AMD screening of fundus images dedicated for mobile devices
Sofien Ben Sayadia, Yaroub Elloumi, Rostom Kachouri, et al.
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 5, pp. 1449-1479
Open Access | Times Cited: 15
Automated screening tool for dry and wet age-related macular degeneration (ARMD) using pyramid of histogram of oriented gradients (PHOG) and nonlinear features
U. Rajendra Acharya, Yuki Hagiwara, Joel E.W. Koh, et al.
Journal of Computational Science (2017) Vol. 20, pp. 41-51
Closed Access | Times Cited: 26
Data mining framework for breast lesion classification in shear wave ultrasound: A hybrid feature paradigm
U. Rajendra Acharya, Wei Lin Ng, Kartini Rahmat, et al.
Biomedical Signal Processing and Control (2016) Vol. 33, pp. 400-410
Closed Access | Times Cited: 25
Weakly supervised detection of central serous chorioretinopathy based on local binary patterns and discrete wavelet transform
Jianguo Xu, Weihua Yang, Cheng Wan, et al.
Computers in Biology and Medicine (2020) Vol. 127, pp. 104056-104056
Closed Access | Times Cited: 22
Improved optic disc and cup segmentation in Glaucomatic images using deep learning architecture
Parthasarathi Mangipudi, Hari Mohan Pandey, Ankur Choudhary
Multimedia Tools and Applications (2021) Vol. 80, Iss. 20, pp. 30143-30163
Open Access | Times Cited: 19
Leaf images classification for the crops diseases detection
Yashwant Kurmi, Suchi Gangwar, Vijayshri Chaurasia, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 8155-8178
Closed Access | Times Cited: 12
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