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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:

Deep learning for cardiac computer-aided diagnosis: benefits, issues & solutions
Brian Chung Shiong Loh, Patrick Then
mHealth (2017) Vol. 3, pp. 45-45
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
Shaveta Dargan, Munish Kumar, Maruthi Rohit Ayyagari, et al.
Archives of Computational Methods in Engineering (2019) Vol. 27, Iss. 4, pp. 1071-1092
Closed Access | Times Cited: 891
A survey of swarm and evolutionary computing approaches for deep learning
Ashraf Darwish, Aboul Ella Hassanien, Swagatam Das
Artificial Intelligence Review (2019) Vol. 53, Iss. 3, pp. 1767-1812
Closed Access | Times Cited: 154
Artificial intelligence in abdominal aortic aneurysm
Juliette Raffort, Cédric Adam, Marion Carrier, et al.
Journal of Vascular Surgery (2020) Vol. 72, Iss. 1, pp. 321-333.e1
Open Access | Times Cited: 145
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
Molla Imaduddin Ahmed, Brendan Spooner, John Isherwood, et al.
Cureus (2023)
Open Access | Times Cited: 80
Deep Learning in Cardiology
Paschalis Bizopoulos, Dimitrios Koutsouris
IEEE Reviews in Biomedical Engineering (2018) Vol. 12, pp. 168-193
Open Access | Times Cited: 159
Data preprocessing for heart disease classification: A systematic literature review
H. Benhar, Ali Idri, José Luis Fernández‐Alemán
Computer Methods and Programs in Biomedicine (2020) Vol. 195, pp. 105635-105635
Closed Access | Times Cited: 107
Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners
Luis Bote-Curiel, Sergio Muñoz-Romero, Alicia Gerrero-Curieses, et al.
Applied Sciences (2019) Vol. 9, Iss. 11, pp. 2331-2331
Open Access | Times Cited: 96
A novel transfer learning approach for the classification of histological images of colorectal cancer
Elene Firmeza Ohata, João Victor Souza das Chagas, Gabriel M. Bezerra, et al.
The Journal of Supercomputing (2021) Vol. 77, Iss. 9, pp. 9494-9519
Closed Access | Times Cited: 62
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study
Ghasem Hajianfar, Omid Gharibi, Maziar Sabouri, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Open Access | Times Cited: 1
A machine learning cardiac magnetic resonance approach to extract disease features and automate pulmonary arterial hypertension diagnosis
Andrew J. Swift, Haiping Lu, Johanna Uthoff, et al.
European Heart Journal - Cardiovascular Imaging (2020) Vol. 22, Iss. 2, pp. 236-245
Open Access | Times Cited: 66
Heartbeat Classification and Arrhythmia Detection Using a Multi-Model Deep-Learning Technique
Saad Irfan, Nadeem Anjum, Turke Althobaiti, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5606-5606
Open Access | Times Cited: 31
Fundamentals in Artificial Intelligence for Vascular Surgeons
Juliette Raffort, Cédric Adam, Marion Carrier, et al.
Annals of Vascular Surgery (2019) Vol. 65, pp. 254-260
Open Access | Times Cited: 50
CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, et al.
(2020)
Open Access | Times Cited: 42
Advanced Ultrasound and Photoacoustic Imaging in Cardiology
Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, et al.
Sensors (2021) Vol. 21, Iss. 23, pp. 7947-7947
Open Access | Times Cited: 23
Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12-lead electrocardiogram signals
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi
Digital Health (2024) Vol. 10
Open Access | Times Cited: 3
Ejection Fraction Classification in Transthoracic Echocardiography Using a Deep Learning Approach
João Silva, Jorge Miguel Silva, A Roldan Guerra, et al.
(2018), pp. 123-128
Closed Access | Times Cited: 30
Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity
Lingjie Fan, Junhan Zhao, Yao Hu, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 11, pp. 2571-2582
Closed Access | Times Cited: 2
A systematic mapping study for ensemble classification methods in cardiovascular disease
Mohamed Hosni, Juan Manuel Carrillo de Gea, Ali Idri, et al.
Artificial Intelligence Review (2020) Vol. 54, Iss. 4, pp. 2827-2861
Closed Access | Times Cited: 18
How the Smartphone Is Changing Allergy Diagnostics
Ana Margarida Pereira, Cristina Jácome, Rute Almeida, et al.
Current Allergy and Asthma Reports (2018) Vol. 18, Iss. 12
Closed Access | Times Cited: 17
Deep Neural Network-Aided Histopathological Analysis of Myocardial Injury
Yiping Jiao, Jie Yuan, Oluwatofunmi Modupeoluwa Sodimu, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 8
Open Access | Times Cited: 9
Hybrid Deep Learning Approach with Feature Engineering for Enhanced Pulmonary Nodule Diagnosis
Amira Bouamrane, Makhlouf Derdour, Ahmed Alksas, et al.
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 1
Automatic Evaluation of Heart Condition According to the Sounds Emitted and Implementing Six Classification Methods
Manuel A. Soto-Murillo, Jorge I. Galván-Tejada, Carlos E. Galván-Tejada, et al.
Healthcare (2021) Vol. 9, Iss. 3, pp. 317-317
Open Access | Times Cited: 10
Deep Learning: An Application Perspective
Sakshi Sakshi, Prasenjit Das, Shaily Jain, et al.
Lecture notes in networks and systems (2021), pp. 323-333
Closed Access | Times Cited: 10
Non-invasive imaging techniques and assessment of carotid vasa vasorum neovascularization: Promises and pitfalls
Tânia Pereira, Àngels Betriu, Rui Alves
Trends in Cardiovascular Medicine (2018) Vol. 29, Iss. 2, pp. 71-80
Closed Access | Times Cited: 10
An Ensemble Approach for Cardiac Arrhythmia Detection using Multimodal Deep Learning
M. Roshni Thanka, Shalem Preetham Gandu, B. Manaswini, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2023), pp. 1731-1736
Closed Access | Times Cited: 3
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