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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:

A Robust Heart Disease Prediction System Using Hybrid Deep Neural Networks
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
IEEE Access (2023) Vol. 11, pp. 121574-121591
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 78-78
Open Access | Times Cited: 17
Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access
IoT-based heart disease risk prediction and categorization for healthcare using an optimized progressive residual attention-based holographic convolutional neural network
G. Sreenivasulu, T. P. Anithaashri
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access
Dynamic feature selection and quantum representation for precise heart disease prediction: Quantum-HeartDiseaseNet approach
Liza M Kunjachen, R. Kavitha
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-22
Closed Access
Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM
Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Heart Disease Detection and Prognosis Using IoT-Based ECG Sensor Data with Hybrid Deep Learning Architecture and Optimal Resource Allocation
Pranali P. Lokhande, Kotadi Chinnaiah­
Cybernetics & Systems (2025), pp. 1-51
Closed Access
Detecting and Classifying Myocardial Infarction in Echocardiogram Frames With an Enhanced CNN Algorithm and ECV-3D Network
S Deepika, N. Jaisankar
IEEE Access (2024) Vol. 12, pp. 51690-51703
Open Access | Times Cited: 4
An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
IEEE Access (2024) Vol. 12, pp. 106193-106210
Open Access | Times Cited: 4
Exploring Predictive Methods for Cardiovascular Disease: A Survey of Methods and Applications
Valeru Vision Paul, Jafar Ali Ibrahim Syed Masood
IEEE Access (2024) Vol. 12, pp. 101497-101505
Open Access | Times Cited: 2
Hybrid machine learning techniques based on genetic algorithm for heart disease detection
Ankur Kumar, Sanjay Dhanka, Jaspreet Singh, et al.
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 2
A smart CardioSenseNet framework with advanced data processing models for precise heart disease detection
R. Subathra, V. Sumathy
Computers in Biology and Medicine (2024) Vol. 185, pp. 109473-109473
Closed Access | Times Cited: 2
Enhancing heart disease risk prediction with GdHO fused layered BiLSTM and HRV features: A dynamic approach
Vikrant Chole, Minal Thawakar, Minal D. Choudhari, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106470-106470
Closed Access | Times Cited: 1
Novel framework of significant risk factor identification and cardiovascular disease prediction
Soham Bandyopadhyay, A Samanta, Monalisa Sarma, et al.
Expert Systems with Applications (2024) Vol. 263, pp. 125678-125678
Closed Access | Times Cited: 1
Improved Bi-directional Long Short-Term Memory for Heart Disease Diagnosis using Statistical and Entropy Feature Set
Sandip Sen, Muralidhar Kurni, Ramesh Krishnamaneni, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 1331-1337
Closed Access
Detecting and Classifying Myocardial Infarction in Echocardiogram Frames with an Enhanced CNN Algorithm and ECV-3D Network
S Deepika, N Jaisankar
Research Square (Research Square) (2024)
Open Access
Future prediction for precautionary measures associated with heart-related issues based on IoT prototype
Ganesh Yenurkar, Sandip Mal, Advait Wakulkar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63723-63753
Closed Access
An efficient multi-disease prediction model using advanced optimization aided weighted convolutional neural network with dilated gated recurrent unit
Naveen Reddy M, S. Satheeskumaran
Intelligent Decision Technologies (2024) Vol. 18, Iss. 2, pp. 769-798
Closed Access
Genetic Screening and Soft Computing Algorithms for Risk Prediction
Surekha Janrao, Madhura Phadke, Reshma Koli, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 97-126
Closed Access
A Review on Heart Disease Detection Classification Based on Deep Learning Algorithm
Dimen Jalal, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 2
Open Access
An innovative attention infused- BiRecurrenTwin network assisted hybrid segmentation technique for accurate heart disease prediction
R. Raja Aswathi, K. Pazhani Kumar, B. Ramakrishnan
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109389-109389
Closed Access
Optimized CNN-BiLSTM with Attention: A High Performance Model for Predicting Heart Disease Using Cleveland and Framingham Datasets
K. Kayalvizhi, S Kanchana, Silvia Priscila S, et al.
Journal of Machine and Computing (2024), pp. 1195-1205
Closed Access
Heart disease prediction using spark architecture with fused feature set and hybrid Squeezenet-Linknet model
Pranjal Kumar, Prąsun Chakrabarti, Tulika Chakrabarti, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107070-107070
Closed Access
FedHFP: A Federated Deep Learning Framework for Heart Failure Prediction
Anu Lohachab, Kuldeep Kumar
IETE Journal of Research (2024), pp. 1-13
Closed Access
Diagnosis of Heart Disease Using a Novel Membership Computation Method Within a Fuzzy SVM Framework
Zhenya Qi, Zuoru Zhang
International Journal of Fuzzy Systems (2024)
Closed Access
Revolutionizing Heart Disease Care With AI
Priyanshi Mulwani, Manisha Bhende, Swati Sharma
Advances in healthcare information systems and administration book series (2024), pp. 465-494
Closed Access
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