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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:

Diagnosis of cardiovascular disease using deep learning technique
Shakeel Ahmad, Muhammad Zubair Asghar, Fahad Alotaibi, et al.
Soft Computing (2022) Vol. 27, Iss. 13, pp. 8971-8990
Closed Access | Times Cited: 21

Showing 21 citing articles:

An All-Inclusive Machine Learning and Deep Learning Method for Forecasting Cardiovascular Disease in Bangladeshi Population
Manjula Mandava, Surendra Reddy Vinta, Hritwik Ghosh, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2023) Vol. 9
Open Access | Times Cited: 24
MDensNet201-IDRSRNet: Efficient cardiovascular disease prediction system using hybrid deep learning
Manjula Mandava, Surendra Reddy Vinta
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106147-106147
Closed Access | Times Cited: 12
Cardiovascular Diseases Diagnosis Using an ECG Multi-Band Non-Linear Machine Learning Framework Analysis
Pedro Ribeiro, Joana Sá, Daniela Paiva, et al.
Bioengineering (2024) Vol. 11, Iss. 1, pp. 58-58
Open Access | Times Cited: 8
A comprehensive review of deep learning-based models for heart disease prediction
Chunjie Zhou, Pengfei Dai, Aihua Hou, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 5
Predictive Modeling of Cardiovascular Disease Using Feedforward Neural Networks
Dhaval Joshi, Bhavya Singh, Seema Kalonia, et al.
Algorithms for intelligent systems (2025), pp. 195-206
Closed Access
Machine Learning-Based Stacking Ensemble Model for Prediction of Heart Disease with Explainable AI and K-Fold Cross-Validation: A Symmetric Approach
Shamsuddin Sultan, Nadeem Javaid, Nabil Alrajeh, et al.
Symmetry (2025) Vol. 17, Iss. 2, pp. 185-185
Open Access
Deep learning-based LDL-C level prediction and explainable AI interpretation
Ali Öter
Computers in Biology and Medicine (2025) Vol. 188, pp. 109905-109905
Closed Access
IntelliNet: intelligent deep net architecture for efficient cardiovascular disease prediction
D. Deva Hema, Rajeeth Jaison T
Multimedia Tools and Applications (2025)
Closed Access
Exploring heterogeneous data distribution issues in e-health federated systems
Giovanni Paragliola, Patrizia Ribino
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106039-106039
Closed Access | Times Cited: 2
Nature-Inspired Metaheuristic Algorithm with deep learning for Healthcare Data Analysis
Hanan T. Halawani, Aisha Mousa Mashraqi, Yousef Asiri, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 5, pp. 12630-12649
Open Access | Times Cited: 1
DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders
Hang Qiu, Ping Yang, Liya Wang
Expert Systems with Applications (2024) Vol. 254, pp. 124312-124312
Closed Access | Times Cited: 1
Efficient Diagnosis of Liver Disease using Deep Learning Technique
Nosheen Jillani, Asad Masood Khattak, Muhammad Zubair Asghar, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2023) Vol. 20, pp. 1-6
Closed Access | Times Cited: 3
Learning to Detect Cardiovascular Disease Using Multilayer Perceptron Neural Network
Sunil Kumar G, P. Kumaresan
(2024), pp. 1-8
Closed Access
Deep learning in predictive medicine: Current state of the art
Manoj Kumar Yadav, Manish Tripathi, Navaneet Chaturvedi, et al.
Elsevier eBooks (2024), pp. 261-291
Closed Access
Cardiovascular Disease Prediction Using Deep Learning
Vaneet Khanna
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024) Vol. 17, pp. 1-6
Closed Access
A Comprehensive Review of Deep Learning-based Models for Heart Disease Prediction
Chunjie Zhou, Pengfei Dai, Aihua Hou, et al.
Research Square (Research Square) (2024)
Open Access
A survey on Machine Learning Methods used for Classification of Cardiovascular disease using ECG and Image Processing Techniques
M S Upamanyu, Karun Chakki, Varun P Kulkarni, et al.
(2024), pp. 1-6
Closed Access
Proposing an Effective Deep Learning Model for Vitamin D Deficiency Diagnosis
Asad Masood Khattak, Junaid Asghar, Naila Tabassum, et al.
(2024), pp. 51-56
Closed Access
Automated diagnosis of atherosclerosis using multi-layer ensemble models and bio-inspired optimization in intravascular ultrasound imaging
Nisha Prajapati, Amitkumar Patel, Hiren Mewada
Medical & Biological Engineering & Computing (2024)
Closed Access
LightCardiacNet: light-weight deep ensemble network with attention mechanism for cardiac sound classification
K Suma, Deepali Koppad, Dharini Raghavan, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
IGHOA Based Modified Convolutional Neural Network for Prediction of Cardiovascular Disease
Mulagala Dileep, Riyansh Jaiswal, C R Vishwanatha, et al.
(2023), pp. 1-7
Closed Access
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