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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:

Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method
Irfan Javid, Ahmed Khalaf, Rozaida Ghazali
International Journal of Advanced Computer Science and Applications (2020) Vol. 11, Iss. 3
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques
Pronab Ghosh, Sami Azam, Mirjam Jonkman, et al.
IEEE Access (2021) Vol. 9, pp. 19304-19326
Open Access | Times Cited: 422
An automatic heart disease prediction using cluster-based bi-directional LSTM (C-BiLSTM) algorithm
P. Dileep, Kunjam Nageswara Rao, Prajna Bodapati, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 10, pp. 7253-7266
Closed Access | Times Cited: 73
An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3331-3349
Closed Access | Times Cited: 20
Enhanced Heart Disease Prediction Based on Machine Learning and χ2 Statistical Optimal Feature Selection Model
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Designs (2022) Vol. 6, Iss. 5, pp. 87-87
Open Access | Times Cited: 64
Effectively Predicting the Presence of Coronary Heart Disease Using Machine Learning Classifiers
Ch Anwar Ul Hassan, Jawaid Iqbal, Rizwana Irfan, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7227-7227
Open Access | Times Cited: 62
Ensemble Learning Based on Hybrid Deep Learning Model for Heart Disease Early Prediction
Ahmed Almulihi, Hager Saleh, Ali Mohamed Hussien, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3215-3215
Open Access | Times Cited: 40
Intelligent Heart Disease Prediction System with Applications in Jordanian Hospitals
Mohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Raed Alazaidah
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 24
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: 12
Ensemble Heuristic–Metaheuristic Feature Fusion Learning for Heart Disease Diagnosis Using Tabular Data
Mohammad Shokouhifar, Mohamad Hasanvand, Elaheh Moharamkhani, et al.
Algorithms (2024) Vol. 17, Iss. 1, pp. 34-34
Open Access | Times Cited: 9
Hybrid deep learning model using recurrent neural network and gated recurrent unit for heart disease prediction
Surenthiran Krishnan, Pritheega Magalingam, Roslina Ibrahim
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 6, pp. 5467-5467
Open Access | Times Cited: 44
An empirical study on machine learning algorithms for heart disease prediction
Tsehay Admassu Assegie, Prasanna Kumar R, N. Komal Kumar, et al.
IAES International Journal of Artificial Intelligence (2022) Vol. 11, Iss. 3, pp. 1066-1066
Open Access | Times Cited: 33
COVID-19 Detection on X-Ray Images using a Combining Mechanism of Pre-trained CNNs
Oussama El Gannour, Soufiane Hamida, Shawki Saleh, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 6
Open Access | Times Cited: 29
Heart Failure Detection Using Instance Quantum Circuit Approach and Traditional Predictive Analysis
Shtwai Alsubai, Abdullah Alqahtani, Adel Binbusayyis, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1467-1467
Open Access | Times Cited: 13
Disease Prediction System in Human Beings using Machine Learning Approaches
Kireet Joshi, Vishan Kumar Gupta, Paras Jain, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 5
Gazelle‐Dingo Optimization and Ensemble Classification: A Hybrid Approach for Intrusion Detection in Fog Computing
Aravind Karrothu, G.V. Sriramakrishnan, V. Ragavi
Transactions on Emerging Telecommunications Technologies (2025) Vol. 36, Iss. 3
Closed Access
Enhanced accuracy for heart disease prediction using artificial neural network
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 29, Iss. 1, pp. 375-375
Open Access | Times Cited: 21
Cardiovascular Disease Prediction Using Gradient Boosting Classifier
Rivansyah Suhendra, Noviana Husdayanti, Suryadi Suryadi, et al.
Infolitika Journal of Data Science (2023) Vol. 1, Iss. 2, pp. 56-62
Open Access | Times Cited: 11
Heart failure survival prediction using novel transfer learning based probabilistic features
Azam Mehmood Qadri, Muhammad Shadab Alam Hashmi, Ali Raza, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1894-e1894
Open Access | Times Cited: 4
A Gradient Boosted Decision Tree with Binary Spotted Hyena Optimizer for cardiovascular disease detection and classification
Siripuri Kiran, Ganta Raghotham Reddy, Girija S.P., et al.
Healthcare Analytics (2023) Vol. 3, pp. 100173-100173
Open Access | Times Cited: 10
Hybrid optimization enabled deep learning-based ensemble classification for heart disease detection
R. Jayasudha, Chanti Suragali, J. T. Thirukrishna, et al.
Signal Image and Video Processing (2023) Vol. 17, Iss. 8, pp. 4235-4244
Closed Access | Times Cited: 10
Development of an efficient novel method for coronary artery disease prediction using machine learning and deep learning techniques
C. M. M. Mansoor, Sarat Kumar Chettri, H. M. M. Naleer
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4545-4569
Closed Access | Times Cited: 3
Diagnosis of Chronic Ischemic Heart Disease Using Machine Learning Techniques
Shumaila Shehzadi, Muhammad Abul Hassan, Muhammad Rizwan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 13
Survey of deep learning techniques for disease prediction based on omics data
Xindi Yu, Shusen Zhou, Hailin Zou, et al.
Human Gene (2022) Vol. 35, pp. 201140-201140
Closed Access | Times Cited: 13
Heart Disease Prediction Using Machine Learning
Taher M. Ghazal, Amer Ibrahim, Ali Sheraz Akram, et al.
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2023), pp. 1-6
Closed Access | Times Cited: 7
Comparison of Hyperparameter Optimization Techniques in Hybrid CNN-LSTM Model for Heart Disease Classification
Ahmad Alaik Maulani, Sri Tjondro Winarno, Junta Zeniarja, et al.
SinkrOn (2024) Vol. 9, Iss. 1, pp. 455-465
Open Access | Times Cited: 2
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