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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:

Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals
Samit Kumar Ghosh, R N Ponnalagu, Rajesh Kumar Tripathy, et al.
Computers in Biology and Medicine (2020) Vol. 118, pp. 103632-103632
Closed Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
Mohanad Alkhodari, Luay Fraiwan
Computer Methods and Programs in Biomedicine (2021) Vol. 200, pp. 105940-105940
Closed Access | Times Cited: 149
CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, et al.
IEEE Access (2021) Vol. 9, pp. 36955-36967
Open Access | Times Cited: 136
Myocardial infarction detection based on deep neural network on imbalanced data
Mohamed Hammad, Monagi H. Alkinani, Brij B. Gupta, et al.
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1373-1385
Closed Access | Times Cited: 118
An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT)
Sonain Jamil, Arunabha M. Roy
Computers in Biology and Medicine (2023) Vol. 158, pp. 106734-106734
Closed Access | Times Cited: 64
Enhancing heart disease prediction using a self-attention-based transformer model
Atta Rahman, Yousef Alsenani, Adeel Zafar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 29
Deep convolutional neural networks with genetic algorithm-based synthetic minority over-sampling technique for improved imbalanced data classification
Suja A. Alex, J. Jesu Vedha Nayahi, Sanaa Kaddoura
Applied Soft Computing (2024) Vol. 156, pp. 111491-111491
Closed Access | Times Cited: 15
Classification of heart sound signals using a novel deep WaveNet model
Shu Lih Oh, Jahmunah Vicnesh, Chui Ping Ooi, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 196, pp. 105604-105604
Closed Access | Times Cited: 134
Time–Frequency-Domain Deep Learning Framework for the Automated Detection of Heart Valve Disorders Using PCG Signals
Jay Karhade, Shaswati Dash, Samit Kumar Ghosh, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 60
AFCNNet: Automated detection of AF using chirplet transform and deep convolutional bidirectional long short term memory network with ECG signals
Tejas Radhakrishnan, Jay Karhade, Samit Kumar Ghosh, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104783-104783
Open Access | Times Cited: 59
RF-CNN-F: random forest with convolutional neural network features for coronary artery disease diagnosis based on cardiac magnetic resonance
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 56
A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification
Junxin Chen, Zhihuan Guo, Xu Xu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 21, Iss. 4, pp. 936-947
Closed Access | Times Cited: 39
Effect of Hilbert-Huang transform on classification of PCG signals using machine learning
Özkan Arslan, Mustafa Karhan
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 10, pp. 9915-9925
Open Access | Times Cited: 38
Transfer learning based heart valve disease classification from Phonocardiogram signal
Arnab Maity, Akanksha Pathak, Goutam Saha
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104805-104805
Closed Access | Times Cited: 28
Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, et al.
Results in Engineering (2025) Vol. 25, pp. 104032-104032
Open Access | Times Cited: 1
Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network
Samit Kumar Ghosh, Rajesh Kumar Tripathy, Mario R. Arrieta Paternina, et al.
Journal of Medical Systems (2020) Vol. 44, Iss. 6
Closed Access | Times Cited: 53
Application of Petersen graph pattern technique for automated detection of heart valve diseases with PCG signals
Türker Tuncer, Şengül Doğan, Ru San Tan, et al.
Information Sciences (2021) Vol. 565, pp. 91-104
Closed Access | Times Cited: 45
Time-frequency analysis of speech signal using Chirplet transform for automatic diagnosis of Parkinson’s disease
Pankaj Warule, Siba Prasad Mishra, Suman Deb
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 613-623
Closed Access | Times Cited: 21
Risk factor refinement and ensemble deep learning methods on prediction of heart failure using real healthcare records
Chunjie Zhou, Aihua Hou, Pengfei Dai, et al.
Information Sciences (2023) Vol. 637, pp. 118932-118932
Closed Access | Times Cited: 19
An End-to-End Deep Learning Framework for Real-Time Denoising of Heart Sounds for Cardiac Disease Detection in Unseen Noise
Shams Nafisa Ali, Samiul Based Shuvo, Muhammad Ishtiaque Sayeed Al-Manzo, et al.
IEEE Access (2023) Vol. 11, pp. 87887-87901
Open Access | Times Cited: 18
Exploiting Data-Efficient Image Transformer-Based Transfer Learning for Valvular Heart Diseases Detection
Talit Jumphoo, Khomdet Phapatanaburi, Wongsathon Pathonsuwan, et al.
IEEE Access (2024) Vol. 12, pp. 15845-15855
Open Access | Times Cited: 6
A novel feature-level fusion scheme with multimodal attention CNN for heart sound classification
Kalpeshkumar Ranipa, Wei‐Ping Zhu, M.N.S. Swamy
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108122-108122
Closed Access | Times Cited: 6
Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals
Rajesh Kumar Tripathy, Samit Kumar Ghosh, Pranjali Gajbhiye, et al.
Entropy (2020) Vol. 22, Iss. 10, pp. 1141-1141
Open Access | Times Cited: 46
Classification of heart sound short records using bispectrum analysis approach images and deep learning
Ali Mohammad Alqudah, Hiam Alquran, Isam Abu‐Qasmieh
Network Modeling Analysis in Health Informatics and Bioinformatics (2020) Vol. 9, Iss. 1
Closed Access | Times Cited: 41
Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features
Sibghatullah I. Khan, Saeed Mian Qaisar, Ram Bilas Pachori
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103445-103445
Closed Access | Times Cited: 36
Automated Heart Sound Activity Detection From PCG Signal Using Time–Frequency-Domain Deep Neural Network
Samit Kumar Ghosh, R N Ponnalagu, Rajesh Kumar Tripathy, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 25
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