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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:

A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
Jafar Abdollahi, Babak Nouri-Moghaddam
Iran Journal of Computer Science (2022) Vol. 5, Iss. 3, pp. 229-246
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

An Outlier Detection and Feature Ranking based Ensemble Learning for ECG Analysis
Venkata Anuhya Ardeti, Venkata Ratnam Kolluru, George Tom Varghese, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 6
Open Access | Times Cited: 3
Identify the Factors Influencing Suicide among Ardabil city People Using Feature Selection : Identify the Factors Influencing Suicide among Ardabil using machine learning
Firouz Amani, Jafar Abdollahi, Paniz Amani
(2024), pp. 17-23
Closed Access
Heart Disease Prediction Using Ensemble Solutions and Exploring the Effect of Target Engineering with Pearson Correlation Based Feature Selection
Arifur Rahman, Sakib Zaman, Shahriar Parvej, et al.
(2024), pp. 1407-1412
Closed Access
An Ensemble-based ML Model to Predict Cardiac Disease
N. Hema, Nubras Samayeen Zeest, Mohammad Ratul Mahjabin, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
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
An Ensemble-Based Extra Feature Selection Approach for Predicting Heart Disease
Howida Abubaker, Jyotsna Singh, Farkhana Muchtar, et al.
Lecture notes in electrical engineering (2024), pp. 551-563
Closed Access
An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction
R. Raja Aswathi, K. Pazhani Kumar, B. Ramakrishnan
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109389-109389
Closed Access
Heart Disease Prediction Using Machine Learning Techniques
Uzama Sadar, Parul Agarwal, Suraiya Parveen, et al.
Lecture notes in electrical engineering (2024), pp. 551-560
Closed Access
IoT-Driven Approaches for Early Detection and Monitoring of Heart Disease: Current Trends and Future Directions
Areebah, Muhammad Rabbi Butt, Faheem Aslam
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 3, pp. 68-81
Open Access
Computational Intelligence Approaches for Heart Disease Prediction: A Comparative Evaluation
Khalid Anwar, Ruchira Goel, Shahnawaz Ahmad, et al.
Biomedical & Pharmacology Journal (2024) Vol. 17, Iss. 4, pp. 2361-2380
Open Access
A Comparative of Classification Models for Predicting of Heart Diseases
Micheal Olaolu Arowolo, Ruth Omorinsola Adesina, Marion O. Adebiyi, et al.
(2023) Vol. 8, pp. 1-8
Closed Access | Times Cited: 1
Boruta Feature Selection Method for Optimizing a Case-Based Reasoning Model to Predict Heart Disease
Safa Gasmi, Akila Djebbar, Hayet Farida Merouani
International Journal of Pattern Recognition and Artificial Intelligence (2023) Vol. 37, Iss. 14
Closed Access | Times Cited: 1
Using Deep Learning for Classification of Lung Cancer on CT Images in Ardabil Province : Classification of Lung Cancer using Xception
Mohammad Ali Javad Zadeh Barzaki, Jafar Abdollahi, Mohammad Negaresh, et al.
(2023)
Closed Access | Times Cited: 1
Feature selection optimization with filtering and wrapper methods: two disease classification cases
Serhat Atik, Tuğba Dalyan
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2023) Vol. 31, Iss. 7, pp. 1329-1342
Open Access | Times Cited: 1
Hybrid Ensembling Of Machine Learning Models To Predict Cardiovascular Disease
S. Hemalatha, T. Kavitha, T.Renuga Devi, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023)
Closed Access
Feature Selection Methods for Effective Diagnosis of Rotavirus Infection: A Comparative Evaluation
Vinh Chau, Dung Tran Thi Ngoc, Phuc Tran My, et al.
(2023), pp. 1-6
Closed Access
An effective fuzzy based segmentation and twin attention based convolutional gated recurrent network for skin cancer detection
Atul Kumar, Shivani Agarwal, Sachi Gupta, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 52113-52140
Closed Access
DYNAMIC THRESHOLDING GA-BASED ECG FEATURE SELECTION IN CARDIOVASCULAR DISEASE DIAGNOSIS
Hasanain F. Hashim, Meriam Jemel, Nadia Ben Azzouna
Iraqi Journal for Computers and Informatics (2023) Vol. 49, Iss. 2, pp. 73-82
Open Access
A Heart Disease Classification using an Improved Particle Swarm Optimization Algorithm with Support Vector Machine Classifier
Mohammed I. Habelalmateen, A. H. A. Hussein, Sripelli Jagadish, et al.
(2023), pp. 1-5
Closed Access
A Systematic Review for Cardiovascular Disease Detection using Machine Learning Methods
Gorapalli Srinivasa Rao, G. Muneeswari
(2023), pp. 133-138
Closed Access
Advanced Machine-Learning Technologies for Coronary Artery Disease Prediction Using Heterogeneous Data
Malak Alqulaity, Po Yang
(2023), pp. 54-61
Closed Access
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