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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:

Predicting cardiovascular events with deep learning approach in the context of the internet of things
Sina Dami, Mahtab Yahaghizadeh
Neural Computing and Applications (2021) Vol. 33, Iss. 13, pp. 7979-7996
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

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: 69
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: 46
Trends in using deep learning algorithms in biomedical prediction systems
Yanbu Wang, Linqing Liu, Chao Wang
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 33
Feature Selection Using Selective Opposition Based Artificial Rabbits Optimization for Arrhythmia Classification on Internet of Medical Things Environment
G S Nijaguna, N. Dayananda Lal, B D Parameshachari, et al.
IEEE Access (2023) Vol. 11, pp. 100052-100069
Open Access | Times Cited: 32
Deep Learning in mHealth for Cardiovascular Disease, Diabetes, and Cancer: Systematic Review
Andreas Triantafyllidis, Haridimos Kondylakis, Dimitrios G. Katehakis, et al.
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 4, pp. e32344-e32344
Open Access | Times Cited: 33
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: 20
Accurate wavelet thresholding method for ECG signals
Kaimin Yu, Lei Feng, Yunfei Chen, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107835-107835
Closed Access | Times Cited: 17
AI-Driven Real-Time Classification of ECG Signals for Cardiac Monitoring Using i-AlexNet Architecture
Manjur Kolhar, Raisa Nazir Ahmed Kazi, Hitesh Mohapatra, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1344-1344
Open Access | Times Cited: 5
A comprehensive review of deep learning-based models for heart disease prediction
Chunjie Zhou, Pengfei Dai, Aihua Hou, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 5
Human activity recognition: suitability of a neuromorphic approach for on-edge AIoT applications
Vittorio Fra, Evelina Forno, Riccardo Pignari, et al.
Neuromorphic Computing and Engineering (2022) Vol. 2, Iss. 1, pp. 014006-014006
Open Access | Times Cited: 21
Machine learning and deep learning techniques for the analysis of heart disease: a systematic literature review, open challenges and future directions
Megha Bhushan, Akkshat Pandit, Ayush Garg
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14035-14086
Closed Access | Times Cited: 11
Heart rate prediction with contactless active assisted living technology: a smart home approach for older adults
Kang Wang, Shi Cao, Jasleen Kaur, et al.
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 4
The Impact of Artificial Intelligence on Cardiovascular Disease Diagnosis: A Review
Ifra Chaudhary, Hassan Anwar
(2024) Vol. 17, Iss. 11, pp. 8-13
Open Access | Times Cited: 3
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Internet of things-based health monitoring system for early detection of cardiovascular events during COVID-19 pandemic
Sina Dami
World Journal of Clinical Cases (2022) Vol. 10, Iss. 26, pp. 9207-9218
Open Access | Times Cited: 15
When explainable AI meets IoT applications for supervised learning
Youcef Djenouri, Asma Belhadi, Gautam Srivastava, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2313-2323
Open Access | Times Cited: 13
A novel intelligent deep optimized framework for heart disease prediction and classification using ECG signals
P. Satyanarayana Goud, Panyam Narahari Sastry, P. Chandra Sekhar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 34715-34731
Closed Access | Times Cited: 6
An Artificial Intelligence Approach for Data Modelling Patients Inheritance of Sickle Cell Disease (SCD) in the Eastern Regions of Saudi Arabia
Mohammed Gollapalli, Aljawharah Alfaleh
Mathematical Modelling and Engineering Problems (2022) Vol. 9, Iss. 4, pp. 1079-1088
Open Access | Times Cited: 9
Deep Forest Based Internet of Medical Things System for Diagnosis of Heart Disease
Shavan Askar
ARO-The Scientific Journal of Koya University (2023) Vol. 11, Iss. 1, pp. 88-98
Open Access | Times Cited: 4
Deep Neural Network and Predator Crow Optimization-Based Intelligent Healthcare System for Predicting Cardiac Diseases
Fahad Alqurashi, Aasim Zafar, Asif Irshad Khan, et al.
Mathematics (2023) Vol. 11, Iss. 22, pp. 4621-4621
Open Access | Times Cited: 4
Optimizing energy harvesting in wireless body area networks: A deep reinforcement learning approach to dynamic sampling
Razieh Mohammadi, Zahra Shirmohammadi
Alexandria Engineering Journal (2024) Vol. 109, pp. 157-175
Open Access | Times Cited: 1
Predicting Cardiovascular and Cerebrovascular Events Based on Instantaneous High-Order Singular Entropy and Deep Belief Network
Shiliang Shao, Ting Wang, Asad Mumtaz, et al.
IEEE Journal of Biomedical and Health Informatics (2022), pp. 1-1
Closed Access | Times Cited: 7
E-Cardiac Care: A Comprehensive Systematic Literature Review
Umara Umar, Sanam Nayab, Rabia Irfan, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8073-8073
Open Access | Times Cited: 7
Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks
Witwisit Kesornsit, Yaowarat Sirisathitkul
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 6
Design and technical validation to generate a synthetic 12-lead electrocardiogram dataset to promote artificial intelligence research
Hakje Yoo, Jose Moon, Jong-Ho Kim, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 3
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