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:

Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC)
Ramdas Kapila, T. Ragunathan, Sumalatha Saleti, et al.
IEEE Access (2023) Vol. 11, pp. 64324-64347
Open Access | Times Cited: 19

Showing 19 citing articles:

A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 78-78
Open Access | Times Cited: 17

An Improved Ensemble-Based Cardiovascular Disease Detection System with Chi-Square Feature Selection
Ayad Esho Korial, Ivan Isho Gorial, Amjad J. Humaidi
Computers (2024) Vol. 13, Iss. 6, pp. 126-126
Open Access | Times Cited: 11

Heart Disease Prediction Using Novel Ensemble and Blending Based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net
Hira Khan, Nadeem Javaid, Tariq Bashir, et al.
IEEE Access (2024) Vol. 12, pp. 109230-109254
Open Access | Times Cited: 6

EBHOA-EMobileNetV2: a hybrid system based on efficient feature selection and classification for cardiovascular disease diagnosis
Manjula Mandava, Surendra Reddy Vinta
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-23
Closed Access

Cardiovascular disease detection using a novel stack-based ensemble classifier with aggregation layer, DOWA operator, and feature transformation
Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Behzad Moshiri, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108345-108345
Closed Access | Times Cited: 4

Exploring the predictive factors of heart disease using rare association rule mining
Sadeq Darrab, David Broneske, Gunter Saake
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Effective cardiac disease classification using FS-XGB and GWO approach
S. Daphin Lilda, R Jayaparvathy
Medical Engineering & Physics (2024) Vol. 132, pp. 104239-104239
Closed Access | Times Cited: 1

Federated learning-based disease prediction: A fusion approach with feature selection and extraction
Ramdas Kapila, Sumalatha Saleti
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106961-106961
Closed Access | Times Cited: 1

Comparative analysis of machine learning algorithms for heart disease prediction
Isha Gupta, Anu Bajaj, Vikas Sharma
International Journal of Hybrid Intelligent Systems (2024), pp. 1-15
Closed Access

An Efficient Ensemble Machine Learning Model for Cardiovascular Disease Prediction Using Digital Health Records
B. Sharanya
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 2598-2609
Open Access

Advanced Cloud-Based Prediction Models for Cardiovascular Disease: Integrating Machine Learning and Feature Selection Techniques
B. Dhiyanesh, Syed Ammal, K. Saranya, et al.
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access

A Deep Learning Approach for Prediction of Heart Disease using Ensemble Learning Techniques
Mudasir Hayat, Nadeem Javaid, Amna Nazir, et al.
Research Square (Research Square) (2024)
Open Access

Comparative Analysis of Optimization Algorithms for Feature Selection in Heart Disease Classification
Ramdas Kapila, Sumalatha Saleti
Lecture notes in networks and systems (2024), pp. 485-499
Closed Access

Effects of education based on teach-back methods on self‑care and quality of life of the patients with heart failure: a systematic review
Akbar Zare‐Kaseb, Amir Emami Zeydi, Hossein Bakhtiari-Dovvombaygi, et al.
BMC Cardiovascular Disorders (2024) Vol. 24, Iss. 1
Open Access

A multi-modal integrated deep neural networks for the prediction of cardiovascular disease in type-2 diabetic males
S. V. Evangelin Sonia, R. Nedunchezhian, M. Rajalakshmi
Automatika (2023) Vol. 64, Iss. 4, pp. 1315-1327
Open Access

Study of Heart Disease Prediction Using Machine Learning and Data Mining Techniques
Prof. Anuradha S. Deokar
International Journal for Research in Applied Science and Engineering Technology (2023) Vol. 11, Iss. 11, pp. 1602-1609
Open Access

Whale optimization approach for early heart disease prediction based on FCM using DCNN
R. Raja Aswathi, Kolappanpillai Pazhani Kumar, B. Ramakrishnan
Review of Computer Engineering Research (2023) Vol. 10, Iss. 4, pp. 150-164
Open Access

System for Predicting Heart Disease using Sophisticated Machine Learning Techniques
Trilok Nath Pandey, Bibhuti Bhusan Dash, Lalbihari Barik, et al.
(2023), pp. 1-5
Closed Access

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