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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:

Real-Time Event-Driven Classification Technique for Early Detection and Prevention of Myocardial Infarction on Wearable Systems
Dionisije Sopic, Amin Aminifar, Amir Aminifar, et al.
IEEE Transactions on Biomedical Circuits and Systems (2018) Vol. 12, Iss. 5, pp. 982-992
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Smart wearable devices in cardiovascular care: where we are and how to move forward
Karim Bayoumy, Mohammed Gaber, Abdallah Elshafeey, et al.
Nature Reviews Cardiology (2021) Vol. 18, Iss. 8, pp. 581-599
Open Access | Times Cited: 587
Classification of myocardial infarction with multi-lead ECG signals and deep CNN
Ulaş Baran Baloğlu, Muhammed Talo, Özal Yıldırım, et al.
Pattern Recognition Letters (2019) Vol. 122, pp. 23-30
Closed Access | Times Cited: 398
Analysis of various techniques for ECG signal in healthcare, past, present, and future
Thivya Anbalagan, Malaya Kumar Nath, D. Vijayalakshmi, et al.
Biomedical Engineering Advances (2023) Vol. 6, pp. 100089-100089
Open Access | Times Cited: 78
Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review
Jiandong Huang, J. Wang, Elaine Ramsey, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8002-8002
Open Access | Times Cited: 73
Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review
Luca Neri, Matt T. Oberdier, Kirsten C. J. van Abeelen, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4805-4805
Open Access | Times Cited: 47
ECG Classification Algorithm Based on STDP and R-STDP Neural Networks for Real-Time Monitoring on Ultra Low-Power Personal Wearable Devices
Alireza Amirshahi, Matin Hashemi
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 13, Iss. 6, pp. 1483-1493
Open Access | Times Cited: 99
Energy Consumption Prediction Using Machine Learning; A Review
Amir Mosavi, Abdullah Bahmani
(2019)
Open Access | Times Cited: 81
Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals
Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106035-106035
Closed Access | Times Cited: 59
Wearable Technologies and AI at the Far Edge for Chronic Heart Failure Prevention and Management: A Systematic Review and Prospects
Angela Tafadzwa Shumba, Teodoro Montanaro, Ilaria Sergi, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6896-6896
Open Access | Times Cited: 26
Real-Time Myocardial Infarction Detection Approaches with a Microcontroller-Based Edge-AI Device
Maria Gragnaniello, Alessandro Borghese, Vincenzo Romano Marrazzo, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 828-828
Open Access | Times Cited: 9
Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data
Amin Aminifar, Matin Shokri, Fazle Rabbi, et al.
IEEE Access (2022) Vol. 10, pp. 6010-6027
Open Access | Times Cited: 35
Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus
Yolanda De la Fuente Robles, Adrián Jesús Ricoy-Cano, Antonio-Pedro Albín-Rodríguez, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8599-8599
Open Access | Times Cited: 34
A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases
Alejandra Cuevas-Chávez, Yasmín Hernández, Javier Ortiz-Hernández, et al.
Healthcare (2023) Vol. 11, Iss. 16, pp. 2240-2240
Open Access | Times Cited: 22
Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices
Victoriano Montesinos, Fabio Dell’Agnola, Adriana Arza, et al.
(2019)
Open Access | Times Cited: 46
Resource-Aware Distributed Epilepsy Monitoring Using Self-Awareness From Edge to Cloud
Farnaz Forooghifar, Amir Aminifar, David Atienza
IEEE Transactions on Biomedical Circuits and Systems (2019) Vol. 13, Iss. 6, pp. 1338-1350
Open Access | Times Cited: 43
An Efficient Algorithm for Cardiac Arrhythmia Classification Using Ensemble of Depthwise Separable Convolutional Neural Networks
Eko Ihsanto, Kalamullah Ramli, Dodi Sudiana, et al.
Applied Sciences (2020) Vol. 10, Iss. 2, pp. 483-483
Open Access | Times Cited: 42
MCA-net: A multi-task channel attention network for Myocardial infarction detection and location using 12-lead ECGs
Weibai Pan, Ying An, Yuxia Guan, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106199-106199
Closed Access | Times Cited: 27
Biomedical applications of wearable biosensors
Mais Haj Bakri, Ali Can Özarslan, Azime Erarslan, et al.
Next Materials (2024) Vol. 3, pp. 100084-100084
Open Access | Times Cited: 6
Demonstration of In‐Memory Biosignal Analysis: Novel High‐Density and Low‐Power 3D Flash Memory Array for Arrhythmia Detection
Jangsaeng Kim, Jiseong Im, Wonjun Shin, et al.
Advanced Science (2024) Vol. 11, Iss. 26
Open Access | Times Cited: 5
Electrocardiography Classification with Leaky Integrate-and-Fire Neurons in an Artificial Neural Network-Inspired Spiking Neural Network Framework
Amrita Rana, Kyung Ki Kim
Sensors (2024) Vol. 24, Iss. 11, pp. 3426-3426
Open Access | Times Cited: 5
Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices
Renato Zanetti, Adriana Arza, Amir Aminifar, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 1, pp. 265-277
Open Access | Times Cited: 30
Long-term Wearable Electrocardiogram Signal Monitoring and Analysis Based on Convolutional Neural Network
Lu Meng, Ge Kang, Yang Song, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 29
Driver Stress Detection from Physiological Signals by Virtual Reality Simulator
Nuria Mateos-García, Ana Belén Gil González, Ana de Luis-Reboredo, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2179-2179
Open Access | Times Cited: 13
Localization of Myocardial Infarction With Multi-Lead Bidirectional Gated Recurrent Unit Neural Network
Xingjin Zhang, Runchuan Li, Honghua Dai, et al.
IEEE Access (2019) Vol. 7, pp. 161152-161166
Open Access | Times Cited: 34
Real-time frequency-independent single-Lead and single-beat myocardial infarction detection
Harold Martin, Ulyana Morar, Walter Izquierdo, et al.
Artificial Intelligence in Medicine (2021) Vol. 121, pp. 102179-102179
Closed Access | Times Cited: 24
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