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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 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

Showing 1-25 of 105 citing articles:

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
Entropies for automated detection of coronary artery disease using ECG signals: A review
U. Rajendra Acharya, Yuki Hagiwara, Joel E.W. Koh, et al.
Journal of Applied Biomedicine (2018) Vol. 38, Iss. 2, pp. 373-384
Closed Access | Times Cited: 102
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
PSOWNNs-CNN: A Computational Radiology for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning Methods
Ashkan Nomani, Yasaman Ansari, Mohammad Hossein Nasirpour, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 39
Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review
Sonit Singh, Shakira Hoque, Amany Zekry, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 22
Automated system for the detection of thoracolumbar fractures using a CNN architecture
U. Raghavendra, Shyamasunder N Bhat, Anjan Gudigar, et al.
Future Generation Computer Systems (2018) Vol. 85, pp. 184-189
Closed Access | Times Cited: 67
Towards precision medicine: from quantitative imaging to radiomics
U. Rajendra Acharya, Yuki Hagiwara, Vidya K. Sudarshan, et al.
Journal of Zhejiang University SCIENCE B (2018) Vol. 19, Iss. 1, pp. 6-24
Open Access | Times Cited: 67
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 diagnosis of focal liver lesions using bidirectional empirical mode decomposition features
U. Rajendra Acharya, Joel E.W. Koh, Yuki Hagiwara, et al.
Computers in Biology and Medicine (2018) Vol. 94, pp. 11-18
Closed Access | Times Cited: 59
Liver disease classification from ultrasound using multi-scale CNN
Hui Che, Lloyd G. Brown, David J. Foran, et al.
International Journal of Computer Assisted Radiology and Surgery (2021) Vol. 16, Iss. 9, pp. 1537-1548
Closed Access | Times Cited: 45
Automatic Classification of Fatty Liver Disease Based on Supervised Learning and Genetic Algorithm
Ahmed Gaber, Hassan Youness, Alaa Hamdy, et al.
Applied Sciences (2022) Vol. 12, Iss. 1, pp. 521-521
Open Access | Times Cited: 32
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
Comparative assessment of texture features for the identification of cancer in ultrasound images: a review
Oliver Faust, U. Rajendra Acharya, Kristen M. Meiburger, et al.
Journal of Applied Biomedicine (2018) Vol. 38, Iss. 2, pp. 275-296
Open Access | Times Cited: 47
Automated characterization of diabetic foot using nonlinear features extracted from thermograms
Muhammad Adam, E. Y. K. Ng, Shu Lih Oh, et al.
Infrared Physics & Technology (2018) Vol. 89, pp. 325-337
Open Access | Times Cited: 46
Efficient medical image enhancement based on CNN‐FBB model
Tao Qiu, Chang Wen, Kai Xie, et al.
IET Image Processing (2019) Vol. 13, Iss. 10, pp. 1736-1744
Closed Access | Times Cited: 45
Implementation of Combinational Deep Learning Algorithm for Non-alcoholic Fatty Liver Classification in Ultrasound Images
Hamed Zamanian
Journal of Biomedical Physics and Engineering (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 33
Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
Joel E.W. Koh, Simona De Michele, Vidya K. Sudarshan, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106010-106010
Closed Access | Times Cited: 32
Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform
Rajneesh Kumar Patel, Manish Kashyap
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 829-841
Open Access | Times Cited: 22
Effect of despeckle filtering on classification of breast tumors using ultrasound images
N.A. Kriti, Jitendra Virmani, Ravinder Agarwal
Journal of Applied Biomedicine (2019) Vol. 39, Iss. 2, pp. 536-560
Closed Access | Times Cited: 42
Automatic detection of ischemic stroke using higher order spectra features in brain MRI images
U. Rajendra Acharya, Kristen M. Meiburger, Oliver Faust, et al.
Cognitive Systems Research (2019) Vol. 58, pp. 134-142
Closed Access | Times Cited: 40
Global weighted LBP based entropy features for the assessment of pulmonary hypertension
Anjan Gudigar, U. Raghavendra, Tom Devasia, et al.
Pattern Recognition Letters (2019) Vol. 125, pp. 35-41
Closed Access | Times Cited: 39
Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection
Wojciech Książek, Mohamed Hammad, Paweł Pławiak, et al.
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1512-1524
Closed Access | Times Cited: 37
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
Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
Fahad Muflih Alshagathrh, Mowafa Househ
Bioengineering (2022) Vol. 9, Iss. 12, pp. 748-748
Open Access | Times Cited: 21
Current status and perspectives for computer-aided ultrasonic diagnosis of liver lesions using deep learning technology
Naoshi Nishida, Makoto Yamakawa, Tsuyoshi Shiina, et al.
Hepatology International (2019) Vol. 13, Iss. 4, pp. 416-421
Closed Access | Times Cited: 34
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