Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Development and assessment of machine learning based heart disease detection using imbalanced heart sound signal
Adyasha Rath, Debahuti Mishra, Ganapati Panda, et al.
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103730-103730
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Artificial intelligence framework for heart disease classification from audio signals
Sidra Abbas, Stephen Ojo, Abdullah Al Hejaili, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
An offbeat bolstered swarm integrated ensemble learning (BSEL) model for heart disease diagnosis and classification
R. Subathra, V. Sumathy
Applied Soft Computing (2024) Vol. 154, pp. 111273-111273
Closed Access | Times Cited: 5
Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review
Girish S. Bhavekar, Agam Das Goswami, Chafle Pratiksha Vasantrao, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 86895-86922
Closed Access | Times Cited: 5
An improved stacking model for predicting myocardial infarction risk in imbalanced data
Yan Liu, Zhe Zhang, Huazhu Song, et al.
Health Information Science and Systems (2025) Vol. 13, Iss. 1
Closed Access
A Comparative Analysis of Constant-Q Transform, Gammatonegram, and Mel-Spectrogram Techniques for AI-aided Cardiac Diagnostics
Mohammed Saddek Mekahlia, Mohamed Fezari, Ahcen Aliouat
Medical Engineering & Physics (2025) Vol. 137, pp. 104302-104302
Closed Access
WCFormer: An interpretable deep learning framework for heart sound signal analysis and automated diagnosis of cardiovascular diseases
Suiyan Wang, Junhui Hu, Yanwei Du, et al.
Expert Systems with Applications (2025), pp. 127238-127238
Closed Access
Automatic Detection and Classification of Cardiovascular Disorders Using Phonocardiogram and Convolutional Vision Transformers
Qaisar Abbas, Ayyaz Hussain, Abdul Rauf Baig
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3109-3109
Open Access | Times Cited: 22
Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features
Wei Chen, Zixuan Zhou, Junze Bao, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 645-645
Open Access | Times Cited: 14
Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
MDRANet: A multiscale dense residual attention network for magnetic resonance and nuclear medicine image fusion
Jun Fu, Weisheng Li, Xiuxiu Peng, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104382-104382
Closed Access | Times Cited: 14
Explainable AI-Driven Machine Learning for Heart Disease Detection using ECG Signal
Babita Majhi, Aarti Kashyap
Applied Soft Computing (2024) Vol. 167, pp. 112225-112225
Closed Access | Times Cited: 2
Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database
Bing Zhu, Zihong Zhou, Shaode Yu, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3222-3222
Open Access | Times Cited: 2
Diagnosis of heart disease using oversampling methods and decision tree classifier in cardiology
Anitha Juliette Albert, R. Murugan, T. Sripriya
Research on Biomedical Engineering (2022) Vol. 39, Iss. 1, pp. 99-113
Open Access | Times Cited: 11
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Chenyang Xu, Xin Li, Xinyue Zhang, et al.
Health Information Science and Systems (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 5
Heart sound diagnosis method based on multi-domain self-learning convolutional computation
Rui Zhang, Xinyu Li, Lihu Pan, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106332-106332
Closed Access | Times Cited: 1
A Hybrid Framework of Transformer Encoder and Residential Conventional for Cardiovascular Disease Recognition Using Heart Sounds
Riyadh M. Al-Tam, Aymen M. Al-Hejri, Ebrahim Naji, et al.
IEEE Access (2024) Vol. 12, pp. 123099-123113
Open Access | Times Cited: 1
Enhancing Disease Diagnosis: Leveraging Machine Learning Algorithms for Healthcare Data Analysis
Monali Ramteke, Shital Raut
IETE Journal of Research (2024), pp. 1-22
Closed Access | Times Cited: 1
Heart function grading evaluation based on heart sounds and convolutional neural networks
Xiao Chen, Xingming Guo, Yineng Zheng, et al.
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 1, pp. 279-288
Closed Access | Times Cited: 4
Heart Murmur Quality Detection Using Deep Neural Networks with Attention Mechanism
Tingwei Wu, Zhaohan Huang, Shilong Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6825-6825
Open Access
A Parametric Analysis of Cardiovascular Diseases Detection Methods Using ML Techniques
Marri Sireesha, Anjaiah Adepu, Amjan Shaik, et al.
Studies in systems, decision and control (2024), pp. 111-123
Closed Access
Virtual Medical Assistant System for Diseases Detection using Machine Learning
J Kanimozhi, G. Preethi, N Mohanasuganthi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1
Assistive diagnostic technology for congenital heart disease based on fusion features and deep learning
Yuanlin Wang, Xuankai Yang, Xiaozhao Qian, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 1
Heart Disease Detection Using Phonocardiogram (PCG) Signals
Aarti Kashyap, Babita Majhi
Lecture notes in electrical engineering (2023), pp. 327-343
Closed Access


Information Sciences Letters (2023) Vol. 12, Iss. 11
Open Access
Prediction of Heart Disease Using Machine Learning Algorithms
Islam Daoud Suliman, D. Vasumathi
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
Page 1 - Next Page

Scroll to top