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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 26-50 of 150 citing articles:

Wearable electrochemical sensors for real-time monitoring in diabetes mellitus and associated complications
Han Hee Jung, Hyeokjun Lee, Junwoo Yea, et al.
Soft Science (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 11
Application of empirical mode decomposition and artificial neural network for the classification of normal and epileptic EEG signals
Rafik Djemili, Hocine Bourouba, Mohamed Cherif Amara Korba
Journal of Applied Biomedicine (2015) Vol. 36, Iss. 1, pp. 285-291
Closed Access | Times Cited: 89
Application of empirical mode decomposition for analysis of normal and diabetic RR-interval signals
Ram Bilas Pachori, Pakala Avinash, K J Shashank, et al.
Expert Systems with Applications (2015) Vol. 42, Iss. 9, pp. 4567-4581
Closed Access | Times Cited: 79
Entropy analysis of heart rate variability and its application to recognize major depressive disorder: A pilot study
Sangwon Byun, Ah Young Kim, Eun Hye Jang, et al.
Technology and Health Care (2019) Vol. 27, pp. 407-424
Open Access | Times Cited: 59
ECG signal analysis using CWT, spectrogram and autoregressive technique
Varun Gupta, Monika Mittal, Vikas Mittal, et al.
Iran Journal of Computer Science (2021) Vol. 4, Iss. 4, pp. 265-280
Closed Access | Times Cited: 44
Impact of categorical and numerical features in ensemble machine learning frameworks for heart disease prediction
Chandan Pan, Arnab Poddar, Rohan Mukherjee, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103666-103666
Closed Access | Times Cited: 35
An Explainable Artificial Intelligence Software System for Predicting Diabetes
Parvathaneni Naga Srinivasu, Shakeel Ahmed, M. Hassaballah, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36112-e36112
Open Access | Times Cited: 7
Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
Archana Bathula, Suneet Kumar Gupta, M. Suresh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 6
A Decision Support System for market-driven product positioning and design
Ningrong Lei, Seung Ki Moon
Decision Support Systems (2014) Vol. 69, pp. 82-91
Closed Access | Times Cited: 62
A REVIEW OF ECG-BASED DIAGNOSIS SUPPORT SYSTEMS FOR OBSTRUCTIVE SLEEP APNEA
Oliver Faust, U. Rajendra Acharya, E. Y. K. Ng, et al.
Journal of Mechanics in Medicine and Biology (2016) Vol. 16, Iss. 01, pp. 1640004-1640004
Open Access | Times Cited: 59
A Novel Wavelet Transform-Homogeneity Model for Sudden Cardiac Death Prediction Using ECG Signals
Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, Hojjat Adeli, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 10
Closed Access | Times Cited: 58
A New ECG Signal Classification Based on WPD and ApEn Feature Extraction
Hongqiang Li, Xiuli Feng, Lu Cao, et al.
Circuits Systems and Signal Processing (2015) Vol. 35, Iss. 1, pp. 339-352
Closed Access | Times Cited: 57
ECG beat classification via deterministic learning
Xunde Dong, Cong Wang, Wenjie Si
Neurocomputing (2017) Vol. 240, pp. 1-12
Closed Access | Times Cited: 57
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
A Review of Atrial Fibrillation Detection Methods as a Service
Oliver Faust, Edward J. Ciaccio, U. Rajendra Acharya
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 9, pp. 3093-3093
Open Access | Times Cited: 42
Efficient R-peak Detection in Electrocardiogram Signal Based on Features Extracted Using Hilbert Transform and Burg Method
Varun Gupta, Monika Mittal
Journal of The Institution of Engineers (India) Series B (2020) Vol. 101, Iss. 1, pp. 23-34
Closed Access | Times Cited: 40
Automated diagnostic tool for hypertension using convolutional neural network
Desmond Chuang Kiat Soh, E. Y. K. Ng, Jahmunah Vicnesh, et al.
Computers in Biology and Medicine (2020) Vol. 126, pp. 103999-103999
Closed Access | Times Cited: 39
Machine-learning algorithm to non-invasively detect diabetes and pre-diabetes from electrocardiogram
Anoop R Kulkarni, Ashwini A Patel, Kanchan V Pipal, et al.
BMJ Innovations (2022) Vol. 9, Iss. 1, pp. 32-42
Open Access | Times Cited: 25
Diabetes Detection and Management through Photoplethysmographic and Electrocardiographic Signals Analysis: A Systematic Review
Serena Zanelli, Mehdi Ammi, Magid Hallab, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4890-4890
Open Access | Times Cited: 23
Diabetes Prediction Using Deep Learning
B. Venkataramanaiah, R. Ramadoss, R. Kannan, et al.
Communications in computer and information science (2025), pp. 156-165
Closed Access
Development of Enhanced Machine Learning Models for Predicting Type 2 Diabetes Mellitus Using Heart Rate Variability: A Retrospective Study
Vinni S Fengade, Hira Swati, Manoj B. Chandak, et al.
Cureus (2025)
Open Access
A Non-invasive Blood Glucose Detection Method: Using Fluctuation Analysis to Evaluate Heart Rate Variability
Yuchen Zhang, Shuai Tan, Hongjie Guan, et al.
(2025)
Closed Access
Detection of coronary artery disease by reduced features and extreme learning machine
Ram Sewak Singh, Barjinder Singh Saini, Ramesh Kumar Sunkaria
Medicine and Pharmacy Reports (2018) Vol. 91, Iss. 2, pp. 166-175
Open Access | Times Cited: 46
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: 40
Characterization of fibromyalgia using sleep EEG signals with nonlinear dynamical features
Jose Kunnel Paul, Thomas Iype, R Dileep, et al.
Computers in Biology and Medicine (2019) Vol. 111, pp. 103331-103331
Closed Access | Times Cited: 36

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