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 Identification Method Using Machine Learning Classification in E-Healthcare
Jianping Li, Amin Ul Haq, Salah Ud Din, et al.
IEEE Access (2020) Vol. 8, pp. 107562-107582
Open Access | Times Cited: 488

Showing 1-25 of 488 citing articles:

Significance of machine learning in healthcare: Features, pillars and applications
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
International Journal of Intelligent Networks (2022) Vol. 3, pp. 58-73
Open Access | Times Cited: 360

PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES
Ramesh TR, Umesh Kumar Lilhore, M. Poongodi, et al.
Malaysian Journal of Computer Science (2022), pp. 132-148
Open Access | Times Cited: 254

hyOPTXg: OPTUNA hyper-parameter optimization framework for predicting cardiovascular disease using XGBoost
P. V. S. Srinivas, Rahul Katarya
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103456-103456
Closed Access | Times Cited: 118

Machine Learning (ML) in Medicine: Review, Applications, and Challenges
Amir Masoud Rahmani, Efat Yousefpoor, Mohammad Sadegh Yousefpoor, et al.
Mathematics (2021) Vol. 9, Iss. 22, pp. 2970-2970
Open Access | Times Cited: 117

Multi-Label Active Learning-Based Machine Learning Model for Heart Disease Prediction
Ibrahim M. El‐Hasnony, Omar M. Elzeki, Ali Alshehri, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1184-1184
Open Access | Times Cited: 116

Automated Machine Learning for Healthcare and Clinical Notes Analysis
Akram Mustafa, Mostafa Rahimi Azghadi
Computers (2021) Vol. 10, Iss. 2, pp. 24-24
Open Access | Times Cited: 101

A classification and regression tree algorithm for heart disease modeling and prediction
Mert Özcan, Serhat Peker
Healthcare Analytics (2022) Vol. 3, pp. 100130-100130
Open Access | Times Cited: 97

A Method for Improving Prediction of Human Heart Disease Using Machine Learning Algorithms
Abdul Saboor, Muhammad Usman, Sikandar Ali, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 90

Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms
Shahid Tufail, Hugo Riggs, Mohd Tariq, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1789-1789
Open Access | Times Cited: 88

A systematic review on machine learning approaches for cardiovascular disease prediction using medical big data
Javed Azmi, Muhammad Arif, Md Tabrez Nafis, et al.
Medical Engineering & Physics (2022) Vol. 105, pp. 103825-103825
Closed Access | Times Cited: 84

Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues
Mohit Kumar, Ashwani Kumar, Sahil Verma, et al.
Electronics (2023) Vol. 12, Iss. 9, pp. 2050-2050
Open Access | Times Cited: 80

DACBT: deep learning approach for classification of brain tumors using MRI data in IoT healthcare environment
Amin Ul Haq, Jianping Li, Shakir Khan, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 79

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis
Mehar Sahu, Rohan Gupta, Rashmi K. Ambasta, et al.
Progress in molecular biology and translational science (2022), pp. 57-100
Closed Access | Times Cited: 77

A Model for Predicting Cervical Cancer Using Machine Learning Algorithms
Naif Al Mudawi, Abdulwahab Alazeb
Sensors (2022) Vol. 22, Iss. 11, pp. 4132-4132
Open Access | Times Cited: 71

Hybrid Classifier-Based Federated Learning in Health Service Providers for Cardiovascular Disease Prediction
Muhammad Mateen Yaqoob, Muhammad Nazir, Muhammad Amir Khan, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1911-1911
Open Access | Times Cited: 42

An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction
Pooja Rani, Rajneesh Kumar, Anurag Jain, et al.
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 6, pp. 3331-3349
Closed Access | Times Cited: 20

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

Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 17

Revolutionizing heart disease prediction with quantum-enhanced machine learning
S. Venkatesh Babu, P. Ramya, Jeffin Gracewell
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15

Heart disease detection using deep learning methods from imbalanced ECG samples
Adyasha Rath, Debahuti Mishra, Ganapati Panda, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102820-102820
Closed Access | Times Cited: 98

An intelligent heart disease prediction system based on swarm-artificial neural network
Sudarshan Nandy, Mainak Adhikari, Venki Balasubramanian, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14723-14737
Closed Access | Times Cited: 96

KNNOR: An oversampling technique for imbalanced datasets
Ashhadul Islam, Samir Brahim Belhaouari, Atiq Ur Rehman, et al.
Applied Soft Computing (2021) Vol. 115, pp. 108288-108288
Open Access | Times Cited: 90

Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
Kaushalya Dissanayake, Md Gapar Md Johar
Applied Computational Intelligence and Soft Computing (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 74

A Stable AI-Based Binary and Multiple Class Heart Disease Prediction Model for IoMT
Xiaoming Yuan, Jiahui Chen, Kuan Zhang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 3, pp. 2032-2040
Closed Access | Times Cited: 73

Fusion-Based Machine Learning Architecture for Heart Disease Prediction
Muhammad Waqas Nadeem, Hock Guan Goh, Muhammad Adnan Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 2, pp. 2481-2496
Open Access | Times Cited: 71

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