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:

Explainable Deep Convolutional Neural Network for Valvular Heart Diseases Classification Using PCG Signals
Anandita Bhardwaj, S.J. Singh, Deepak Joshi
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 35

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105272-105272
Open Access | Times Cited: 13

Explainable AI for CNN-LSTM Network in PCG-Based Valvular Heart Disease Diagnosis
Chelluri Divakar, R Harsha, Kodali Radha, et al.
(2024), pp. 92-97
Closed Access | Times Cited: 4

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening
Daniel Enériz, Antonio J. Rodríguez-Almeida, Himar Fabelo, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-16
Open Access | Times Cited: 4

A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4

Heart Failure Detection Through SMOTE for Augmentation and Machine Learning Approach for Classification
G. Kiran Kumar, M Anila, Naga Raju Hari Manikyam, et al.
(2025), pp. 123-134
Closed Access

Identifying heart disease prediction using LSTM in healthcare data analytics
Dhanraj Ganapathy, Gayathiri Pasupathy, Anant Raj, et al.
AIP conference proceedings (2025) Vol. 3253, pp. 030026-030026
Closed Access

Enhanced Heart Attack Detection with Neural Networks
Kasem Khalil, Md. Rahat Khan, Tamador Mohaidat, et al.
Lecture notes in networks and systems (2025), pp. 544-553
Closed Access

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review
Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access

Multiclassification for heart sound signals under multiple networks and multi-view feature
Juliang Wang, Junbin Zang, Yao Shuai, et al.
Measurement (2023) Vol. 225, pp. 114022-114022
Closed Access | Times Cited: 10

HBNET: A blended ensemble model for the detection of cardiovascular anomalies using phonocardiogram
Ann Nita Netto, Lizy Abraham, Saji Philip
Technology and Health Care (2024) Vol. 32, Iss. 3, pp. 1925-1945
Closed Access | Times Cited: 3

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

Rapid detection and interpretation of heart murmurs using phonocardiograms, transfer learning and explainable artificial intelligence
Fatma Özcan
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 2

A Novel Hybrid Model for Predictive Analysis of Myocardial Infarction using Advanced Machine Learning Techniques
Abhishek Shrivastava, Santosh Kumar, N. Srinivas Naik, et al.
(2023), pp. 381-386
Closed Access | Times Cited: 6

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models
Jina Lee, Keun-Chang Kwak
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11942-11942
Open Access | Times Cited: 5

Phonocardiogram Classification by Learning From Positive and Unlabeled Examples
Ebrahim A. Nehary, Sreeraman Rajan
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 1

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

Multi-Modal Data Fusion Based Cardiac Disease Prediction using Late Fusion and 2D CNN Architectures
Kunvar Kant Patel, Ayush Kanodia, Basant Kumar, et al.
(2024), pp. 279-284
Closed Access

Heart Sound Classification using a Hybrid of CNN and GRU Deep Learning Models
Ravi Raj Choudhary, Mamata Rani Singh, Puneet Jain
Procedia Computer Science (2024) Vol. 235, pp. 3085-3093
Open Access

A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1

Heart Sounds Classification Based on High‐Order Spectrogram and Multi‐Convolutional Neural Network after a New Screening Strategy
Yasheng Li, Jizheng Yi, Bolin Zhong, et al.
Advanced Theory and Simulations (2023) Vol. 7, Iss. 1
Open Access



Information Sciences Letters (2023) Vol. 12, Iss. 11
Open Access

A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access

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