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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:

Classifier identification using deep learning and machine learning algorithms for the detection of valvular heart diseases
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal
Biomedical Engineering Advances (2022) Vol. 3, pp. 100035-100035
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
Duggani Keerthana, Vipin Venugopal, Malaya Kumar Nath, et al.
Biomedical Engineering Advances (2022) Vol. 5, pp. 100069-100069
Open Access | Times Cited: 147
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
A Review: Machine Learning and Data Mining Approaches for Cardiovascular Disease Diagnosis and Prediction
Gorapalli Srinivasa Rao, G. Muneeswari
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 5
Recent Advances in PCG Signal Analysis using AI: A Review
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Precision Diagnosis: An Automated Method for Detecting Congenital Heart Diseases in Children From Phonocardiogram Signals Employing Deep Neural Network
Hend Khalid Alkahtani, Ihtisham Ul Haq, Yazeed Yasin Ghadi, et al.
IEEE Access (2024) Vol. 12, pp. 76053-76064
Open Access | Times Cited: 4
Enhancing Pediatric Congenital Heart Disease Detection Using Customized 1D CNN Algorithm and Phonocardiogram Signals
Ihtisham Ul Haq, Ghassan Husnain, Yazeed Yasin Ghadi, et al.
Heliyon (2025), pp. e42257-e42257
Open Access
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
An explainable AI based new deep learning solution for efficient heart disease prediction at early stages
Muhammad Ashfaq, Nadeem Javaid, Nabil Alrajeh, et al.
Evolving Systems (2025) Vol. 16, Iss. 1
Closed Access
A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification
Manishi Shakya, Ravindra Patel, Sunil Joshi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Neural Networks in Human Activity Recognition: Trends, Challenges, and Future Directions
Craig Valli, R. Amutha
(2025), pp. 2038-2044
Closed Access
Conv-Random Forest-Based IoT: A Deep Learning Model Based on CNN and Random Forest for Classification and Analysis of Valvular Heart Diseases
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal
IEEE Open Journal of Instrumentation and Measurement (2023) Vol. 2, pp. 1-17
Open Access | Times Cited: 11
Improvement in the performance of deep learning based on CNN to classify the heart sound by evaluating hyper-parameters
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal
Soft Computing (2024) Vol. 28, Iss. 19, pp. 11587-11600
Closed Access | Times Cited: 3
Early Screening of Valvular Heart Disease Prediction using CNN-based Mobile Network
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal
(2023), pp. 1-8
Closed Access | Times Cited: 7
Automatic Detection of Paediatric Congenital Heart Diseases from Phonocardiogram Signals
Zafar Ahmad, Muhammad Zeeshan, Arshad Sohail, et al.
(2023), pp. 188-195
Closed Access | Times Cited: 6
Recent Landscape of Deep Learning Intervention and Consecutive Clustering on Biomedical Diagnosis
Ayan Mukherji, Arindam Mondal, Rajib Banerjee, et al.
Artificial Intelligence and Applications (2022)
Open Access | Times Cited: 8
Extensive Review on Predicting Heart Disease Using Machine Learning and Deep Learning Techniques
S. Hemalatha, T. Kavitha, K. Chitra, et al.
2022 International Conference on Computer Communication and Informatics (ICCCI) (2023) Vol. 8, pp. 1-7
Closed Access | Times Cited: 3
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
Prediction of Heart Disease Using Machine Learning: A Systematic Literature Review
Alfredo Daza Vergaray, Juan Carlos, Juan Carlos Herrera, et al.
Journal of System and Management Sciences (2023) Vol. 13, Iss. 6
Open Access | Times Cited: 2
Valvular Heart Disease Prediction Using CNN-based Residual Network
Tanmay Sinha Roy, Joyanta Kumar Roy, Nirupama Mandal, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Automated Classification of Myocardial Infarction Based on Auscultation Position Using Random Forest
Ira Puspasari, Tati L. R. Mengko, Agung W. Setiawan, et al.
(2024), pp. 275-280
Closed Access
Valvular Heart Disease Prognostication Using Hybrid Machine Learning Algorithms
Jayavardhanarao Sahukaru, Kurimilli Sahithi Varshini, G. Vamsi, et al.
International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
Advanced Detection and Classification of Corneal Ulcer by Densenet121 Feature Extraction and SVM Classifier
S. Janet Grace Susila
Deleted Journal (2024) Vol. 20, Iss. 7s, pp. 1867-1883
Open Access
Learning Medical Subject Headings in PubMed Articles to Enhance Deep Predictions
Zolzaya Dashdorj, Zoljargal Jargalsaikhan, Stanislav Grigorev, et al.
(2024), pp. 000371-000374
Closed Access
AE-Obi-LSTM: An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction
N. Divya, N. Suresh Kumar, R. Kanniga Devi, et al.
Lecture notes in computer science (2024), pp. 182-199
Closed 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
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