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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:

Hybrid genetic‐discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries
Roohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, et al.
Expert Systems (2020) Vol. 39, Iss. 7
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Prediction of heart disease and classifiers’ sensitivity analysis
Khaled Almustafa
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 139
Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991–2020)
Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, et al.
Annals of Operations Research (2021) Vol. 339, Iss. 3, pp. 1077-1118
Open Access | Times Cited: 103
Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991–2020
Roohallah Alizadehsani, Abbas Khosravi, Mohamad Roshanzamir, et al.
Computers in Biology and Medicine (2020) Vol. 128, pp. 104095-104095
Closed Access | Times Cited: 92
Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset
Durgadevi Velusamy, Karthikeyan Ramasamy
Computer Methods and Programs in Biomedicine (2020) Vol. 198, pp. 105770-105770
Closed Access | Times Cited: 89
Comparison of various approaches to combine logistic regression with genetic algorithms in survival prediction of hepatocellular carcinoma
Wojciech Książek, Michał Gandor, Paweł Pławiak
Computers in Biology and Medicine (2021) Vol. 134, pp. 104431-104431
Open Access | Times Cited: 60
CNN-KCL: Automatic myocarditis diagnosis using convolutional neural network combined with k-means clustering
Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 3, pp. 2381-2402
Open Access | Times Cited: 44
Cardiac Healthcare Digital Twins Supported by Artificial Intelligence-Based Algorithms and Extended Reality—A Systematic Review
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
Electronics (2024) Vol. 13, Iss. 5, pp. 866-866
Open Access | Times Cited: 14
Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights
Kamal Taha
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
A Novel Approach for Coronary Artery Disease Diagnosis using Hybrid Particle Swarm Optimization based Emotional Neural Network
Afzal Hussain Shahid, Maheshwari Prasad Singh
Journal of Applied Biomedicine (2020) Vol. 40, Iss. 4, pp. 1568-1585
Closed Access | Times Cited: 55
A Reliable Machine Intelligence Model for Accurate Identification of Cardiovascular Diseases Using Ensemble Techniques
Bhanu Prakash Doppala, Debnath Bhattacharyya, Midhunchakkaravarthy Janarthanan, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 34
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
Artificial intelligence in atherosclerotic disease: Applications and trends
Polydoros N. Kampaktsis, Maria Emfietzoglou, Aamna Al Shehhi, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 9
Open Access | Times Cited: 15
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning
Dejia Zhou, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 13
Breast Cancer Dataset, Classification and Detection Using Deep Learning
Muhammad Shahid Iqbal, Waqas Ahmad, Roohallah Alizadehsani, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2395-2395
Open Access | Times Cited: 22
A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification
Abhigya Mahajan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, et al.
IEEE Access (2024) Vol. 12, pp. 87023-87038
Open Access | Times Cited: 3
NCA‐GA‐SVM: A new two‐level feature selection method based on neighborhood component analysis and genetic algorithm in hepatocellular carcinoma fatality prognosis
Wojciech Książek, Filip Turza, Paweł Pławiak
International Journal for Numerical Methods in Biomedical Engineering (2022) Vol. 38, Iss. 6
Closed Access | Times Cited: 14
Evaluation of the impact of best management practices on ephemeral gully and sheet/rill erosion using the AnnAGNPS model
Hamid Mohebzadeh, Asim Biswas, Ben DeVries, et al.
CATENA (2024) Vol. 246, pp. 108436-108436
Closed Access | Times Cited: 2
Review on Machine Learning Techniques for Medical Data Classification and Disease Diagnosis
Swapna Saturi
Regenerative Engineering and Translational Medicine (2022) Vol. 9, Iss. 2, pp. 141-164
Closed Access | Times Cited: 12
Quantifying Uncertainty in Automated Detection of Alzheimer’s Patients Using Deep Neural Network
Mohamad Roshanzamir, Afshar Shamsi, Hamzeh Asgharnezhad, et al.
(2023)
Open Access | Times Cited: 6
Diagnosis of each main coronary artery stenosis based on whale optimization algorithm and stacking model
Ziyu Jin, Ning Li
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 5, pp. 4568-4591
Open Access | Times Cited: 10
Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Covid19‐Mexican‐Patients' Dataset (Covid19MPD) Classification and Prediction Using Feature Importance
Khaled Almustafa
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 4
Open Access | Times Cited: 7
An Optimized Uncertainty-Aware Training Framework for Neural Networks
Pegah Tabarisaadi, Abbas Khosravi, Saeid Nahavandi, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6928-6935
Closed Access | Times Cited: 4
Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges
Fahime Khozeimeh, Mohamad Roshanzamir, Afshin Shoeibi, et al.
(2022), pp. 000245-000250
Closed Access | Times Cited: 4
Transmission Quality Classification with Use of Fusion of Neural Network and Genetic Algorithm in Pay&Require Multi-Agent Managed Network
Dariusz Żelasko, Wojciech Książek, Paweł Pławiak
Sensors (2021) Vol. 21, Iss. 12, pp. 4090-4090
Open Access | Times Cited: 4
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