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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:

An Interpretable Electrocardiogram-Based Model for Predicting Arrhythmia and Ischemia in Cardiovascular Disease
Tanjila Alam Sathi, Rafsan Jany, Razia Zaman Ela, et al.
Results in Engineering (2024) Vol. 24, pp. 103381-103381
Open Access | Times Cited: 10

Showing 10 citing articles:

HXAI-ML: A Hybrid Explainable Artificial Intelligence Based Machine Learning Model For Cardiovascular Heart Disease Detection
Md. Alamin Talukder, Amira Samy Talaat, Mohsin Kazi
Results in Engineering (2025), pp. 104370-104370
Open Access | Times Cited: 3
A Hybrid Multiscale Feature Fusion Model For Enhanced Cardiovascular Arrhythmia Detection
Md. Alamin Talukder
Results in Engineering (2025), pp. 104244-104244
Open Access | Times Cited: 2
Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, et al.
Results in Engineering (2025) Vol. 25, pp. 104032-104032
Open Access | Times Cited: 1
Consensus statement on the credibility assessment of machine learning predictors
Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino A. La Mattina, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Utilizing Voting Classifiers for Enhanced Analysis and Diagnosis of Cardiac Conditions
Mohamed S. Elgendy, Hossam El-Din Moustafa, Hala B. Nafea, et al.
Results in Engineering (2025), pp. 104636-104636
Open Access
EXPLAINABLE MACHINE LEARNING-BASED PREDICTION OF BLAST LOADS ON STRUCTURAL SURFACES IN TWO-DIMENSIONAL SPATIAL COORDINATES
Chathura Widanage, Damith Mohotti, C.K. Lee, et al.
Results in Engineering (2025), pp. 104979-104979
Open Access
Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis
Chukwuebuka Joseph Ejiyi, Dongsheng Cai, Francis Ofoma Eze, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An Explainable Machine Learning Framework for Predicting Driving States Using Electroencephalogram
Iqram Hussain, Se Jin Park, AKM Azad, et al.
Medical Engineering & Physics (2025), pp. 104355-104355
Closed Access
Using structural equation modeling and intima-media complex texture features to assess cardiovascular disease risk in the common carotid artery
George Evripides, Christos P. Loizou, Paul Christodoulides
Results in Engineering (2024), pp. 103613-103613
Open Access | Times Cited: 2
Blood glucose level prediction in type 1 diabetes: A comparative analysis of interpretable artificial intelligence approaches
Ilaria Basile, Giovanna Sannino
Results in Engineering (2024) Vol. 25, pp. 103681-103681
Closed Access
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