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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:

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

Showing 1-25 of 153 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: 405
A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension
Manish Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Pattern Recognition Letters (2017) Vol. 94, pp. 172-179
Closed Access | Times Cited: 366
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: 266
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
An Integrated Index for the Identification of Focal Electroencephalogram Signals Using Discrete Wavelet Transform and Entropy Measures
Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Entropy (2015) Vol. 17, Iss. 8, pp. 5218-5240
Open Access | Times Cited: 177
An automatic detection of focal EEG signals using new class of time–frequency localized orthogonal wavelet filter banks
Manish Sharma, Abhinav Dhere, Ram Bilas Pachori, et al.
Knowledge-Based Systems (2016) Vol. 118, pp. 217-227
Closed Access | Times Cited: 158
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: 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: 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
Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Wangmin Liao, Beiji Zou, Rongchang Zhao, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1405-1412
Closed Access | Times Cited: 116
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: 104
A NOVEL APPROACH TO DETECT EPILEPTIC SEIZURES USING A COMBINATION OF TUNABLE-Q WAVELET TRANSFORM AND FRACTAL DIMENSION
Manish Sharma, Ram Bilas Pachori
Journal of Mechanics in Medicine and Biology (2017) Vol. 17, Iss. 07, pp. 1740003-1740003
Closed Access | Times Cited: 100
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
Automated glaucoma diagnosis using deep learning approach
Baidaa Al‐Bander, Waleed Al‐Nuaimy, Majid A. Al-Taee, et al.
2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) (2017), pp. 207-210
Closed Access | Times Cited: 92
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: 86
Current status and future trends of clinical diagnoses via image-based deep learning
Jie Xu, Kanmin Xue, Kang Zhang
Theranostics (2019) Vol. 9, Iss. 25, pp. 7556-7565
Open Access | Times Cited: 81
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
An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
Law Kumar Singh, Pooja Sharma, Hitendra Garg, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 2, pp. 333-353
Closed Access | Times Cited: 62
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
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
CA-Net: A Novel Cascaded Attention-Based Network for Multistage Glaucoma Classification Using Fundus Images
Dipankar Das, Deepak Ranjan Nayak, Ram Bilas Pachori
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 26
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
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
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