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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:

Performance Evaluation of Quantum-Based Machine Learning Algorithms for Cardiac Arrhythmia Classification
Zeynep Özpolat, Murat Karabatak
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1099-1099
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Development of quantum machine learning to evaluate the corrosion inhibition capability of pyrimidine compounds
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono
Materials Today Communications (2024) Vol. 39, pp. 108758-108758
Closed Access | Times Cited: 25
Quantum machine learning for ABO3 perovskite structure prediction
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
Computational Materials Science (2025) Vol. 250, pp. 113694-113694
Closed Access | Times Cited: 3
Implementation of Quantum Machine Learning in Predicting Corrosion Inhibition Efficiency of Expired Drugs
Muhammad Reesa Rosyid, Lubna Mawaddah, Akbar Priyo Santosa, et al.
Materials Today Communications (2024) Vol. 40, pp. 109830-109830
Closed Access | Times Cited: 9
Quantum Machine-Based Decision Support System for the Detection of Schizophrenia from EEG Records
Gamzepelin Aksoy, Grégoire Cattan, Subrata Chakraborty, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 6
Cloud computing-based framework for heart disease classification using quantum machine learning approach
Huda Ghazi Enad, Mazin Abed Mohammed
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access | Times Cited: 6
A comprehensive approach utilizing quantum machine learning in the study of corrosion inhibition on quinoxaline compounds
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100073-100073
Open Access | Times Cited: 6
Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
Jagdeep Rahul, Lakhan Dev Sharma
Computer Science Review (2025) Vol. 56, pp. 100719-100719
Open Access
Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, et al.
(2025)
Closed Access
Hybrid Quantum-Based Machine Learning Algorithm for Amyotrophic Lateral Sclerosis Detection Using EMG Signals
Kiran Kumar Makam, Neelesh Agarwal
Lecture notes in electrical engineering (2025), pp. 537-558
Closed Access
Stacking Classical-Quantum Hybrid Learner Approach for Corrosion Inhibition Efficiency of N-Heterocyclic Compounds
Muhamad Akrom, Supriadi Rustad, T. Sutojo, et al.
Results in Surfaces and Interfaces (2025), pp. 100462-100462
Open Access
Review of quantum algorithms for medicine, finance and logistics
Alessia Ciacco, Francesca Guerriero, Giusy Macrina
Soft Computing (2025)
Closed Access
A Novel Quantum-Enhanced Model Cascading Approach Based on Support Vector Machine in Blood-Brain Barrier Permeability Prediction
Muhamad Akrom, Supriadi Rustad, T. Sutojo, et al.
Materials Today Communications (2025), pp. 112341-112341
Closed Access
Predicting lattice constant in ABX3 perovskite via quantum machine learning
Muhamad Akrom, Supriadi Rustad, Pulung Nurtantio Andono, et al.
Computational Materials Science (2025) Vol. 253, pp. 113865-113865
Closed Access
A novel enhanced lemurs optimization-based hybrid attention network for classifying arrthymia from ECG signal using optimal weighted feature
Rakhi Wajgi, G. Brammya, Gopisetty Ramesh, et al.
Australian Journal of Electrical & Electronics Engineering (2024) Vol. 21, Iss. 3, pp. 311-335
Closed Access | Times Cited: 2
Automatic Classification of Cardiac Arrhythmias Using Deep Learning Techniques: A Systematic Review
Fernando Vásquez-Iturralde, Marco Flores-Calero, Felipe Grijalva, et al.
IEEE Access (2024) Vol. 12, pp. 118467-118492
Open Access | Times Cited: 2
An adaptive Marine Predator Optimization Algorithm (MPOA) integrated Gated Recurrent Neural Network (GRNN) classifier model for arrhythmia detection
Rajesh Pashikanti, C. Y. Patil, Shinde Amita Anirudhe
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106328-106328
Closed Access | Times Cited: 1
Quantum machine learning for corrosion resistance in stainless steel
Muhamad Akrom, Supriadi Rustad, T. Sutojo, et al.
Deleted Journal (2024) Vol. 3, pp. 100013-100013
Open Access | Times Cited: 1
Concurrent Analysis of Dynamic and Static Features for Classifying Cardiac Rhythms
Chunmiao Liang, Qinghua Sun, J. Y. Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 1
Comparative Study of Quantum to Classical Machine Learning Algorithms for Breast Cancer Classification
Nihat Abdullayev, Laman Aliyeva, Jamaladdin Hasanov
(2023)
Closed Access | Times Cited: 3
Advanced Cardiovascular Health in a Quantum AI-driven Healthcare Framework
Sarvapriya Tripathi, Himanshu Upadhyay, Jayesh Soni
(2024)
Open Access
Epileptic Seizure Detection using Variational Quantum Classifier
Gopichand Meesala, Lalit Kumar, Manish Pandey, et al.
(2024), pp. 1-5
Closed Access
Enhancing Arrhythmia Classification: A Comparative Study of Filters and Deep Learning Models on ECG Data
K Mallikarjunamallu, Khasim Syed
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-7
Closed Access
QCVNET - Leveraging Quantum Technology in Convolutional Neural Networks for Improved Cardiovascular Disease Prediction
S Karthigeyan, M. Diviya, R. Bhuvaneswari, et al.
(2024), pp. 495-502
Closed Access
Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction
D. Banumathy, T. Vetriselvi, K. Venkatachalam, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2498-e2498
Open Access
Study of Arrhythmia Classification Algorithms on Electrocardiogram Using Deep Learning
Rezki Fauzan Arifin, Satria Mandala
SinkrOn (2023) Vol. 8, Iss. 3, pp. 1753-1760
Open Access | Times Cited: 1
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