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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:

MKELM: Mixed Kernel Extreme Learning Machine using BMDA optimization for web services based heart disease prediction in smart healthcare
Adlin Sheeba, S. Padmakala, C. A. Subasini, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 25, Iss. 10, pp. 1180-1194
Closed Access | Times Cited: 12

Showing 12 citing articles:

Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 828-828
Open Access | Times Cited: 63
Modified Self-Adaptive Bayesian Algorithm for Smart Heart Disease Prediction in IoT System
Ahmad F. Subahi, Osamah Ibrahim Khalaf, Youseef Alotaibi, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 14208-14208
Open Access | Times Cited: 43
An enhanced black-winged kite algorithm boosted machine learning prediction model for patients’ waiting time
Xiang Zhang, Keying Wu, Chengqi Zhang, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107425-107425
Closed Access
Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things
Adlin Sheeba, P. Santhosh Kumar, M. Ramamoorthy, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104048-104048
Closed Access | Times Cited: 14
An intelligent hybrid classification model for heart disease detection using imbalanced electrocardiogram signals
Shwet Ketu, Pramod Kumar Mishra
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 4286-4308
Closed Access | Times Cited: 7
Hyperparameter optimization: a comparative machine learning model analysis for enhanced heart disease prediction accuracy
Yagyanath Rimal, Navneet Sharma
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 55091-55107
Closed Access | Times Cited: 5
Identifying epileptic EEGs and congestive heart failure ECGs under unified framework of wavelet scattering transform, bidirectional weighted (2D)2PCA and KELM
Tao Zhang, Wanzhong Chen, Xiaojuan Chen
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 1, pp. 279-297
Closed Access | Times Cited: 4
Meta-Heuristic Algorithm Enabled Artificial Neural Network for Heart Disease Diagnosis Using IoT Smart Sensors
Bharatwaja Namatherdhala, Jinal Mistry, Vinay Mallikarjunaradhya, et al.
(2023), pp. 418-425
Closed 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
Optimal machine learning–based data classification on Internet of medical things environment
P. Maheswaravenkatesh, A.N. Arun, T. Jayasankar
Elsevier eBooks (2024), pp. 31-50
Closed Access
A hybrid approach for medical images classification and segmentation to reduce complexity
Ankit Kumar, Surbhi Bhatia, Rajat Bhardwaj, et al.
Innovations in Systems and Software Engineering (2022) Vol. 19, Iss. 1, pp. 33-46
Closed Access | Times Cited: 1
Heart Disease Prediction Based on Age Detection using Novel Logistic Regression over Support Vector Machine
C.B.M. Karthi, A. Kalaivani
Cardiometry (2023), Iss. 25, pp. 1711-1717
Open Access
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