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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:

Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis
Diman Hassan, Haval I. Hussein, Masoud Muhammed Hassan
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104019-104019
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 39
DEEP-CARDIO: Recommendation System for Cardiovascular Disease Prediction Using IoT Network
A. Yashudas, Dinesh Gupta, G. C. Prashant, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 14539-14547
Closed Access | Times Cited: 23
A Clinical Decision Support System for Heart Disease Prediction Using Deep Learning
Abdulwahab Ali Almazroi, Eman Aldhahri, Saba Bashir, et al.
IEEE Access (2023) Vol. 11, pp. 61646-61659
Open Access | Times Cited: 39
Comprehensive evaluation and performance analysis of machine learning in heart disease prediction
Halah Abdulaziz Al-Alshaikh, P. Prabu, Ramesh Chandra Poonia, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Heart Disease Prediction Using Stacking Model With Balancing Techniques and Dimensionality Reduction
Noor Ayesha, Nadeem Javaid, Nabil Alrajeh, et al.
IEEE Access (2023) Vol. 11, pp. 116026-116045
Open Access | Times Cited: 18
Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction
Md Ariful Islam, Md. Ziaul Hasan Majumder, Md. Sohel Miah, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108432-108432
Closed Access | Times Cited: 7
Comparative study of Chest Radiographs and Detection of The Covid 19 Virus Using Machine Learning Algorithm
Shaimaa Q. Sabri, Jahwar Y. Arif, Ghada A. Taqa, et al.
Mesopotamian Journal of Computer Science (2024) Vol. 2024, pp. 34-43
Open Access | Times Cited: 6
Early prediction of heart disease with data analysis using supervised learning with stochastic gradient boosting
Anil Pandurang Jawalkar, Pandla Swetcha, Nuka Manasvi, et al.
Journal of Engineering and Applied Science (2023) Vol. 70, Iss. 1
Open Access | Times Cited: 13
An offbeat bolstered swarm integrated ensemble learning (BSEL) model for heart disease diagnosis and classification
R. Subathra, V. Sumathy
Applied Soft Computing (2024) Vol. 154, pp. 111273-111273
Closed Access | Times Cited: 5
Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review
Girish S. Bhavekar, Agam Das Goswami, Chafle Pratiksha Vasantrao, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 39, pp. 86895-86922
Closed Access | Times Cited: 5
Assessment of Water Hydrochemical Parameters Using Machine Learning Tools
Ivan Malashin, Vladimir Nelyub, А. С. Бородулин, et al.
Sustainability (2025) Vol. 17, Iss. 2, pp. 497-497
Open 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
An ideally designed deep trust network model for heart disease prediction based on seagull optimization and Ruzzo Tompa algorithm
Jinliang Yuan, Ying–Cheng Lai, Azadeh Noori Hoshyar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Analysis of machine learning approaches for predictive modeling in heart disease detection systems
Akshaya Kumar Mandal, Satchidananda Dehuri, Pankaj Kumar Deva Sarma
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107723-107723
Closed Access
Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance
Macarena Teja, G. Mokesh Rayalu
BMC Cardiovascular Disorders (2025) Vol. 25, Iss. 1
Open Access
A hybrid machine learning approach using particle swarm optimization for cardiac arrhythmia classification
Sanjay Dhanka, S. Maini
International Journal of Cardiology (2025), pp. 133266-133266
Closed Access
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework
Abdallah Abdellatif, Hamza Mubarak, Hamdan Abdellatef, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105644-105644
Closed Access | Times Cited: 10
Machine learning–assisted prediction of mechanical properties of high-entropy alloy/graphene nanocomposite
Qingqing Wu, Tinghong Gao, Guiyang Liu, et al.
Materials Today Communications (2024) Vol. 40, pp. 109663-109663
Closed Access | Times Cited: 3
Multiple Diseases Forecast Through AI and IoMT Techniques: Systematic Literature Review
Asma Merabet, Asma Saighi, Rahimah Zakaria, et al.
Communications in computer and information science (2023), pp. 189-206
Closed Access | Times Cited: 9
HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine
Amir Rehman, Huanlai Xing, Mehboob Hussain, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111316-111316
Closed Access | Times Cited: 7
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features
M. Balamurugan, S. Meera
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-25
Closed Access | Times Cited: 2
Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms
G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Hybrid Optimization based Feature Selection with DenseNet Model for Heart Disease Prediction
V. Gokula Krishnan, M. V. Vijaya Saradhi, S. Sai Kumar, et al.
International Journal of Electrical and Electronics Research (2023) Vol. 11, Iss. 2, pp. 253-261
Open Access | Times Cited: 6
Fuzzy-Ontology based knowledge driven disease risk level prediction with optimization assisted ensemble classifier
Huma Parveen, Syed Wajahat Abbas Rizvi, Raja Sarath Kumar Boddu
Data & Knowledge Engineering (2024) Vol. 151, pp. 102278-102278
Closed Access | Times Cited: 1
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