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:

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

Showing 22 citing articles:

Transformers in Material Science: Roles, Challenges, and Future Scope
Nitin Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 27
Computer-Aided Diagnosis of COVID-19 from Chest X-ray Images Using Hybrid-Features and Random Forest Classifier
Kashif Shaheed, Piotr Szczuko, Qaisar Abbas, et al.
Healthcare (2023) Vol. 11, Iss. 6, pp. 837-837
Open Access | Times Cited: 24
Classification of heart sound signals with Whisper model
Majed D. Alotaibi, Yakoub Bazi, Mohamad Mahmoud Al Rahhal, et al.
Connection Science (2025) Vol. 37, Iss. 1
Open Access
Detection of Congenital Heart Disease from Heart Sounds Using 2D CNN-BiLSTM with Attention Mechanism
Ann Nita Netto, Lizy Abraham, Saji Philip
Springer proceedings in mathematics & statistics (2025), pp. 73-86
Closed Access
CNN and Bidirectional GRU-Based Heartbeat Sound Classification Architecture for Elderly People
Harshwardhan Yadav, Param Shah, Neel Gandhi, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1365-1365
Open Access | Times Cited: 15
PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis
Rongsheng Wang, Yaofei Duan, Yukun Li, et al.
The Visual Computer (2023) Vol. 39, Iss. 8, pp. 3811-3822
Open 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: 2
A Novel PPG-Based Biometric Authentication System Using a Hybrid CVT-ConvMixer Architecture with Dense and Self-Attention Layers
Mostafa E. A. Ibrahim, Qaisar Abbas, Yassine Daadaa, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 15-15
Open Access | Times Cited: 6
Deep Learning for Heart Sound Analysis: A Literature Review
Qinghao Zhao, Shijia Geng, Boya Wang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 6, pp. 102096-102096
Open Access | Times Cited: 1
A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods
Motaz Faroq A. Ben Hamza, Nilam Nur Amir Sjarif
IEEE Access (2024) Vol. 12, pp. 117203-117217
Open Access | Times Cited: 1
Benchmarking Time-Frequency Representations of Phonocardiogram Signals for Classification of Valvular Heart Diseases Using Deep Features and Machine Learning
Edwin M. Chambi, Jefry Cuela, Milagros Zegarra, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 2912-2912
Open 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
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle, et al.
Information Fusion (2024) Vol. 114, pp. 102697-102697
Closed Access | Times Cited: 1
Multi-Stage Temporal Convolutional Network with Moment Loss and Positional Encoding for Surgical Phase Recognition
Minyoung Park, Seungtaek Oh, Taikyeong Jeong, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 107-107
Open Access | Times Cited: 6
A Comprehensive Survey of Analysis of Heart Sounds using Machine Learning Techniques to Detect Heart Diseases
S Sathyanarayanan, Srikanta Murthy, Sanjay Chitnis
Journal of Population Therapeutics and Clinical Pharmacology (2023) Vol. 30, Iss. 11
Open Access | Times Cited: 2
Benchmarking Time-Frequency Representations of PCG Signals for Classification Valvular Heart Diseases Using Deep Features and Machine Learning
Edwin M. Chambi, Jefry Cuela, Milagros Zegarra, et al.
(2024)
Open Access
Enhanced classification of microplastic polymers (polyethylene, polystyrene, low‐density polyethylene, polyhydroxyalkanoate) in waterbodies
Rajendran Thavasimuthu, P. M. Vidhya, S. Sekar, et al.
Polymers for Advanced Technologies (2024) Vol. 35, Iss. 7
Closed Access
A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation
Qijia Huang, Huanrui Yang, Eric Zeng, et al.
(2024), pp. 109-119
Closed Access
A Quantization Method Based on Lightweight Transformer Model Architecture for Automatic Classification of Lung Sounds
Qiuhao Wang, Yun Chu, Enze Zhou, et al.
(2023)
Closed Access
A Novel Fast Mask Recurrent Convolutional Neural Network Developed to Detect the Accurate Location of PCG Murmur
M. Hemalatha, Zayaraz Godandapani
(2023), pp. 1213-1218
Closed Access
Phonocardiogram Identification Using Mel Frequency and Gammatone Cepstral Coefficients and an Ensemble Learning Classifier
Youssef Toulni, Taoufiq Belhoussine Drissi, Benayad Nsiri
Lecture notes in networks and systems (2023), pp. 165-179
Closed Access
Page 1

Scroll to top