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:

Ensemble framework for cardiovascular disease prediction
Achyut Tiwari, Aryan Chugh, Aman Sharma
Computers in Biology and Medicine (2022) Vol. 146, pp. 105624-105624
Open Access | Times Cited: 70

Showing 26-50 of 70 citing articles:

An ensemble learning-based framework for breast cancer prediction
Aman Sharma, D. P. Goyal, Rajni Mohana
Decision Analytics Journal (2023) Vol. 10, pp. 100372-100372
Open Access | Times Cited: 9

A Hybrid Feature Selection and Ensemble Stacked Learning Models on Multi-Variant CVD Datasets for Effective Classification
Abhigya Mahajan, Baijnath Kaushik, Mohammad Khalid Imam Rahmani, et al.
IEEE Access (2024) Vol. 12, pp. 87023-87038
Open Access | Times Cited: 3

Hybrid machine learning techniques based on genetic algorithm for heart disease detection
Ankur Kumar, Sanjay Dhanka, Jaspreet Singh, et al.
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3

DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features
Nidhi Sinha, M. A. Ganesh Kumar, Amit M. Joshi, et al.
IEEE Access (2023) Vol. 11, pp. 117643-117655
Open Access | Times Cited: 6

A robust approach to shear strength prediction of reinforced concrete deep beams using ensemble learning with SHAP interpretability
Achyut Tiwari, Ashok Kumar Gupta, Tanmay Gupta
Soft Computing (2023) Vol. 28, Iss. 7-8, pp. 6343-6365
Closed Access | Times Cited: 6

HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine
Amir Rehman, Huanlai Xing, Mehboob Hussain, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111316-111316
Closed Access | Times Cited: 6

A novel diversity-based ensemble approach with genetic algorithm for effective disease diagnosis
Srinivas Arukonda, Ramalingaswamy Cheruku
Soft Computing (2023) Vol. 27, Iss. 14, pp. 9907-9926
Closed Access | Times Cited: 5

Data-Driven Disease Prediction and Lifestyle Monitoring System
Chilukuri Sai Ganesh, R. Kishore, K. Varshith Goud, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1

Heart Disease Diagnostics Using Meta‐Learning‐Based Hybrid Feature Selection
Kaushalya Dissanayake, Md Gapar Md Johar
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1

Explainable Artificial Intelligence (XAI) Approach to Heart Disease Prediction
Aryan Sethi, S. Dharmavaram, S. K. Somasundaram
(2024), pp. 1-6
Closed Access | Times Cited: 1

Machine Learning Based Heart Disease Prediction Using ECG Image
Kishor Bhangale, Saurabh Kadam, Sakshi Chame, et al.
(2024), pp. 1-9
Closed Access | Times Cited: 1

Heart Disease Prediction Using Weighted K-Nearest Neighbor Algorithm
Khalidou Abdoulaye Barry, Youness Manzali, Mohamed Lamrini, et al.
Operations Research Forum (2024) Vol. 5, Iss. 3
Closed Access | Times Cited: 1

Enhancing disease diagnosis accuracy and diversity through BA-TLBO optimized ensemble learning
Srinivas Arukonda, Ramalingaswamy Cheruku, Vijayasree Boddu
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106507-106507
Closed Access | Times Cited: 1

A novel stacking framework with PSO optimized SVM for effective disease classification
Srinivas Arukonda, Ramalingaswamy Cheruku
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 3, pp. 4105-4123
Closed Access | Times Cited: 3

An intelligence method for heart disease prediction using integrated filter-evolutionary search based feature selection and optimized ensemble classifier
N. Venkata MahaLakshmi, Ranjeet Kumar Rout
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 39841-39865
Closed Access | Times Cited: 2

Prediction of Cardiovascular Disease Based on Voting Ensemble Model and SHAP Analysis
Erkan Akkur
Sakarya University Journal of Computer and Information Sciences (2023) Vol. 6, Iss. 3, pp. 226-238
Open Access | Times Cited: 2

Nested genetic algorithm-based classifier selection and placement in multi-level ensemble framework for effective disease diagnosis
Srinivas Arukonda, Ramalingaswamy Cheruku
Computer Methods in Biomechanics & Biomedical Engineering (2023), pp. 1-24
Closed Access | Times Cited: 2

Revolutionizing cardiovascular risk prediction: A novel image-based approach using fundus analysis and deep learning
A. Jeba Sheela, M. Krishnamurthy
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105781-105781
Closed Access | Times Cited: 2

Early detection of cardiovascular disease: Data visualization, feature selection, and machine learning algorithms for predictive diagnosis
Femilda Josephin Joseph Shobana Bai, Saranya Ashok Kumar, M. Maheswari, et al.
Elsevier eBooks (2024), pp. 505-521
Closed Access

Acute myocardial infarction risk prediction in emergency chest pain patients: An external validation study
C H Chang, Phung‐Anh Nguyen, Chien–Cheng Huang, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105683-105683
Open Access

A TLBO Based Bagging Approach for Effective Disease Diagnosis
Srinivas Arukonda, Ramalingaswamy Cheruku
(2024), pp. 284-289
Closed Access

Cardiovascular Disease Prediction Using Ensemble Stacking for Enhanced Accuracy
Sai Charan Medaramatla, Chennupati Veda Samhitha, K. Srinivasa Reddy
(2024) Vol. 1, pp. 01-08
Closed Access

Predictive Heart Disease Diagnosis System with CNN Algorithm and Expert System for Indonesian Patients
Ahmad Giffar Omari, Ahmad Muklason, Faizal Mahananto, et al.
(2024) Vol. 66, pp. 373-378
Closed Access

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