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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.

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Showing 1-25 of 86 citing articles:

hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
P. V. S. Srinivas, Rahul Katarya
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103456-103456
Closed Access | Times Cited: 118
Sensors for internet of medical things: State-of-the-art, security and privacy issues, challenges and future directions
Partha Pratim Ray, Dinesh Dash, Neeraj Kumar
Computer Communications (2020) Vol. 160, pp. 111-131
Closed Access | Times Cited: 89
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: 63
Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer
Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Deep neural network model for enhancing disease prediction using auto encoder based broad learning
Haewon Byeon, Prashant G. C, Shaikh Abdul Hannan, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 3, pp. 100145-100145
Open Access | Times Cited: 6
Prediction and risk analysis of Cardio Vascular diseases in IoHT by enhanced CHIO-based Residual and dilated gated network with Attention Mechanism
K. Gunasekaran, V. D. Ambeth Kumar, Jayashree Kharge
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106222-106222
Closed Access | Times Cited: 5
Heart Disease Identification Using Ensemble Learning and Deep Learning
Vahini Siruvoru, Vijay Kumar Nampally, Deepak Thati, et al.
Smart innovation, systems and technologies (2025), pp. 35-46
Closed Access
A Survey on Open Challenges in Heart Disease Prediction Models
Chetan Vikram Andhare, D. R. Ingle
Computational Biology and Chemistry (2025), pp. 108394-108394
Closed Access
A Robust Framework for Data Generative and Heart Disease Prediction Based on Efficient Deep Learning Models
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2899-2899
Open Access | Times Cited: 27
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
Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting
Anil Pandurang Jawalkar, Pandla Swetcha, Nuka Manasvi, et al.
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access | Times Cited: 12
Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 1, pp. 28-28
Open Access | Times Cited: 27
Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism
Youcef Djenouri, Asma Belhadi, Anis Yazidi, et al.
Expert Systems (2022) Vol. 41, Iss. 6
Open Access | Times Cited: 21
Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique
Adyasha Rath, Debahuti Mishra, Ganapati Panda
Frontiers in Big Data (2022) Vol. 5
Open Access | Times Cited: 21
Machine learning for detecting DNA attachment on SPR biosensor
Himadri Shekhar Mondal, Khandaker Asif Ahmed, N. Birbilis, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12
An exhaustive review of machine and deep learning based diagnosis of heart diseases
Adyasha Rath, Debahuti Mishra, Ganapati Panda, et al.
Multimedia Tools and Applications (2021) Vol. 81, Iss. 25, pp. 36069-36127
Closed Access | Times Cited: 20
Effective Feature Selection for Improved Prediction of Heart Disease
Ibomoiye Domor Mienye, Yanxia Sun
Springer eBooks (2022), pp. 94-107
Closed Access | Times Cited: 13
Heuristic-based channel selection with enhanced deep learning for heart disease prediction under WBAN
V. Muthu Ganesh, N. Janakiraman
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 25, Iss. 13, pp. 1429-1448
Closed Access | Times Cited: 12
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: 12
Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection
V. Muthu Ganesh, N. Janakiraman, Shabana Urooj, et al.
Biomedicines (2023) Vol. 11, Iss. 4, pp. 1167-1167
Open Access | Times Cited: 7
A comprehensive review on heart disease prognostication using different artificial intelligence algorithms
A. Jainul Fathima, M. M. Noor
Computer Methods in Biomechanics & Biomedical Engineering (2024) Vol. 27, Iss. 11, pp. 1357-1374
Closed Access | Times Cited: 2
Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy‐Based IoMT
Tribhangin Dichpally, Yatish Wutla, Vallabhaneni Uday, et al.
(2024), pp. 195-209
Closed Access | Times Cited: 2
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
Automated heart disease prediction model by hybrid heuristic-based feature optimization and enhanced clustering
Ritesh Sonawane, Hitendra D. Patil
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103260-103260
Closed Access | Times Cited: 14
Hybrid Clustering-Based Fast Support Vector Machine Model for Heart Disease Prediction
Chaitanya Datta Maddukuri, Rajiv Senapati
Lecture notes in networks and systems (2023), pp. 269-278
Closed Access | Times Cited: 5
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