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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:

Linear and nonlinear analysis of normal and CAD-affected heart rate signals
U. Rajendra Acharya, Oliver Faust, Vinitha Sree, et al.
Computer Methods and Programs in Biomedicine (2013) Vol. 113, Iss. 1, pp. 55-68
Open Access | Times Cited: 171

Showing 1-25 of 171 citing articles:

Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 896
Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm
Zeinab Arabasadi, Roohallah Alizadehsani, Mohamad Roshanzamir, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 141, pp. 19-26
Closed Access | Times Cited: 460
Automated detection of coronary artery disease using different durations of ECG segments with convolutional neural network
U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih, et al.
Knowledge-Based Systems (2017) Vol. 132, pp. 62-71
Closed Access | Times Cited: 334
Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals
Rajeev Sharma, Ram Bilas Pachori, U. Rajendra Acharya
Entropy (2015) Vol. 17, Iss. 2, pp. 669-691
Open Access | Times Cited: 297
Automated detection of atrial fibrillation using long short-term memory network with RR interval signals
Oliver Faust, Alex Shenfield, Murtadha Kareem, et al.
Computers in Biology and Medicine (2018) Vol. 102, pp. 327-335
Open Access | Times Cited: 262
Decision tree-based diagnosis of coronary artery disease: CART model
Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour
Computer Methods and Programs in Biomedicine (2020) Vol. 192, pp. 105400-105400
Closed Access | Times Cited: 224
A Hybrid Data Mining Model to Predict Coronary Artery Disease Cases Using Non-Invasive Clinical Data
Luxmi Verma, Sangeet Srivastava, Prakash Chand Negi
Journal of Medical Systems (2016) Vol. 40, Iss. 7
Closed Access | Times Cited: 216
Machine learning-based coronary artery disease diagnosis: A comprehensive review
Roohallah Alizadehsani, Moloud Abdar, Mohamad Roshanzamir, et al.
Computers in Biology and Medicine (2019) Vol. 111, pp. 103346-103346
Closed Access | Times Cited: 215
Automated characterization and classification of coronary artery disease and myocardial infarction by decomposition of ECG signals: A comparative study
U. Rajendra Acharya, Hamido Fujita, Muhammad Adam, et al.
Information Sciences (2016) Vol. 377, pp. 17-29
Closed Access | Times Cited: 214
Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review
Yuki Hagiwara, Hamido Fujita, Shu Lih Oh, et al.
Information Sciences (2018) Vol. 467, pp. 99-114
Closed Access | Times Cited: 170
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals
Shivnarayan Patidar, Ram Bilas Pachori, U. Rajendra Acharya
Knowledge-Based Systems (2015) Vol. 82, pp. 1-10
Closed Access | Times Cited: 161
Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM
Azam Davari Dolatabadi, Siamak Esmael Zadeh Khadem, Babak Mohammadzadeh Asl
Computer Methods and Programs in Biomedicine (2016) Vol. 138, pp. 117-126
Closed Access | Times Cited: 160
Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
Kandala N. V. P. S. Rajesh, Ravindra Dhuli
Biomedical Signal Processing and Control (2017) Vol. 41, pp. 242-254
Closed Access | Times Cited: 148
A review of automated sleep stage scoring based on physiological signals for the new millennia
Oliver Faust, Hajar Razaghi, Ragab Barika, et al.
Computer Methods and Programs in Biomedicine (2019) Vol. 176, pp. 81-91
Open Access | Times Cited: 138
Improving an Intelligent Detection System for Coronary Heart Disease Using a Two-Tier Classifier Ensemble
Bayu Adhi Tama, Sun Im, Seung‐Chul Lee
BioMed Research International (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 134
Coronary artery disease detection using computational intelligence methods
Roohallah Alizadehsani, Mohammad Hossein Zangooei, Mohammad Javad Hosseini, et al.
Knowledge-Based Systems (2016) Vol. 109, pp. 187-197
Closed Access | Times Cited: 132
Application of higher-order spectra for the characterization of Coronary artery disease using electrocardiogram signals
U. Rajendra Acharya, Vidya K. Sudarshan, Joel E.W. Koh, et al.
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 31-43
Closed Access | Times Cited: 126
Characterization of coronary artery disease using flexible analytic wavelet transform applied on ECG signals
Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 301-308
Closed Access | Times Cited: 126
Nonlinear Methods Most Applied to Heart-Rate Time Series: A Review
Teresa Henriques, Maria Ribeiro, Andréia Teixeira, et al.
Entropy (2020) Vol. 22, Iss. 3, pp. 309-309
Open Access | Times Cited: 119
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
Roohallah Alizadehsani, Mohammad Javad Hosseini, Abbas Khosravi, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 162, pp. 119-127
Closed Access | Times Cited: 108
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records
Özal Yıldırım, Muhammed Talo, Edward J. Ciaccio, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 197, pp. 105740-105740
Open Access | Times Cited: 103
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
An efficient automated technique for CAD diagnosis using flexible analytic wavelet transform and entropy features extracted from HRV signals
Mohit Kumar, Ram Bilas Pachori, U. Rajendra Acharya
Expert Systems with Applications (2016) Vol. 63, pp. 165-172
Closed Access | Times Cited: 99
A Review on the Nonlinear Dynamical System Analysis of Electrocardiogram Signal
Suraj Kumar Nayak, Arindam Bit, Anilesh Dey, et al.
Journal of Healthcare Engineering (2018) Vol. 2018, pp. 1-19
Open Access | Times Cited: 93
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, et al.
Computers in Biology and Medicine (2020) Vol. 128, pp. 104095-104095
Closed Access | Times Cited: 90
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