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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 identification of normal and diabetes heart rate signals using nonlinear measures
U. Rajendra Acharya, Oliver Faust, Nahrizul Adib Kadri, et al.
Computers in Biology and Medicine (2013) Vol. 43, Iss. 10, pp. 1523-1529
Closed Access | Times Cited: 150

Showing 1-25 of 150 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
Computer-aided diagnosis of diabetic retinopathy: A review
Muthu Rama Krishnan Mookiah, U. Rajendra Acharya, Chua Kuang Chua, et al.
Computers in Biology and Medicine (2013) Vol. 43, Iss. 12, pp. 2136-2155
Closed Access | Times Cited: 407
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
Diabetes detection using deep learning algorithms
G. Swapna, R. Vinayakumar, Soman K.P.
ICT Express (2018) Vol. 4, Iss. 4, pp. 243-246
Open Access | Times Cited: 266
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm
Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 152, pp. 23-34
Closed Access | Times Cited: 237
Automated detection of diabetes using CNN and CNN-LSTM network and heart rate signals
G. Swapna, Soman KP, R. Vinayakumar
Procedia Computer Science (2018) Vol. 132, pp. 1253-1262
Open Access | Times Cited: 221
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
Neural Network-Based Coronary Heart Disease Risk Prediction Using Feature Correlation Analysis
Jae Kwon Kim, Sanggil Kang
Journal of Healthcare Engineering (2017) Vol. 2017, pp. 1-13
Open Access | Times Cited: 135
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals
Özal Yıldırım, Muhammed Talo, Betül Ay, et al.
Computers in Biology and Medicine (2019) Vol. 113, pp. 103387-103387
Open 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
QRS Complex Detection Using STFT, Chaos Analysis, and PCA in Standard and Real-Time ECG Databases
Varun Gupta, Monika Mittal
Journal of The Institution of Engineers (India) Series B (2019) Vol. 100, Iss. 5, pp. 489-497
Closed Access | Times Cited: 115
Computer-aided diagnosis of diabetic subjects by heart rate variability signals using discrete wavelet transform method
U. Rajendra Acharya, K. Sudarshan Vidya, Dhanjoo N. Ghista, et al.
Knowledge-Based Systems (2015) Vol. 81, pp. 56-64
Closed Access | Times Cited: 113
Nonlinear Dynamics Measures for Automated EEG-Based Sleep Stage Detection
U. Rajendra Acharya, Shreya Bhat, Oliver Faust, et al.
European Neurology (2015) Vol. 74, Iss. 5-6, pp. 268-287
Open Access | Times Cited: 113
Computer-aided diagnosis of congestive heart failure using ECG signals – A review
Jahmunah Vicnesh, Shu Lih Oh, Joel Koh En Wei, et al.
Physica Medica (2019) Vol. 62, pp. 95-104
Closed Access | Times Cited: 107
Pain-Free Blood Glucose Monitoring Using Wearable Sensors: Recent Advancements and Future Prospects
Sarah Siddiqui, Yuan Zhang, Jaime Lloret, et al.
IEEE Reviews in Biomedical Engineering (2018) Vol. 11, pp. 21-35
Closed Access | Times Cited: 105
Sudden cardiac death (SCD) prediction based on nonlinear heart rate variability features and SCD index
Hamido Fujita, U. Rajendra Acharya, Vidya K. Sudarshan, et al.
Applied Soft Computing (2016) Vol. 43, pp. 510-519
Closed Access | Times Cited: 104
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
Detection of major depressive disorder from linear and nonlinear heart rate variability features during mental task protocol
Sangwon Byun, Ah Young Kim, Eun Hye Jang, et al.
Computers in Biology and Medicine (2019) Vol. 112, pp. 103381-103381
Open Access | Times Cited: 86
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, et al.
Computers in Biology and Medicine (2021) Vol. 130, pp. 104210-104210
Open Access | Times Cited: 64
Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors
Ma’mon M. Hatmal, Mohammad A. I. Al-Hatamleh, Amin N. Olaimat, et al.
Vaccines (2022) Vol. 10, Iss. 3, pp. 366-366
Open Access | Times Cited: 60
Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability—What We Know and What Is Coming
Navya Alugubelli, Hussam Abuissa, Attila Roka
Sensors (2022) Vol. 22, Iss. 22, pp. 8903-8903
Open Access | Times Cited: 58
A Novel Approach for Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods
Roshi Saxena, Sanjay Kumar Sharma, Manali Gupta, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 57
Heart rate variability for medical decision support systems: A review
Oliver Faust, Wanrong Hong, Hui Wen Loh, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105407-105407
Closed Access | Times Cited: 55
The Efficacy of Machine-Learning-Supported Smart System for Heart Disease Prediction
Nurul Absar, Emon Kumar Das, Shamsun Nahar Shoma, et al.
Healthcare (2022) Vol. 10, Iss. 6, pp. 1137-1137
Open Access | Times Cited: 38
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