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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:

An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction
Oluwarotimi Williams Samuel, Grace Mojisola Asogbon, Arun Kumar Sangaiah, et al.
Expert Systems with Applications (2016) Vol. 68, pp. 163-172
Closed Access | Times Cited: 378

Showing 26-50 of 378 citing articles:

Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network
Liaqat Ali, Ashir Javeed, Adeeb Noor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 18
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
Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease
T. Vivekanandan, N. Ch. S. N. Iyengar
Computers in Biology and Medicine (2017) Vol. 90, pp. 125-136
Closed Access | Times Cited: 162
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor
N. Arunkumar, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, et al.
Soft Computing (2018) Vol. 23, Iss. 19, pp. 9083-9096
Closed Access | Times Cited: 139
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
Mohamed Abdel‐Basset, Abduallah Gamal, Gunasekaran Manogaran, et al.
Multimedia Tools and Applications (2019) Vol. 79, Iss. 15-16, pp. 9977-10002
Closed Access | Times Cited: 116
The utility based non-linear fuzzy AHP optimization model for network selection in heterogeneous wireless networks
Raman Kumar Goyal, Sakshi Kaushal, Arun Kumar Sangaiah
Applied Soft Computing (2017) Vol. 67, pp. 800-811
Closed Access | Times Cited: 110
A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment
Samira Akhbarifar, Hamid Haj Seyyed Javadi, Amir Masoud Rahmani, et al.
Personal and Ubiquitous Computing (2020) Vol. 27, Iss. 3, pp. 697-713
Open Access | Times Cited: 110
Neutrosophic AHP-Delphi Group decision making model based on trapezoidal neutrosophic numbers
Mohamed Abdel‐Basset, Mai Mohamed, Arun Kumar Sangaiah
Journal of Ambient Intelligence and Humanized Computing (2017) Vol. 9, Iss. 5, pp. 1427-1443
Open Access | Times Cited: 108
Towards an efficient risk assessment in software projects–Fuzzy reinforcement paradigm
Arun Kumar Sangaiah, Oluwarotimi Williams Samuel, Xiong Li, et al.
Computers & Electrical Engineering (2017) Vol. 71, pp. 833-846
Closed Access | Times Cited: 107
Cerebral micro‐bleeding identification based on a nine‐layer convolutional neural network with stochastic pooling
Shuihua Wang‎, Junding Sun, Irfan Mehmood, et al.
Concurrency and Computation Practice and Experience (2019) Vol. 32, Iss. 1
Closed Access | Times Cited: 105
Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring
Radek Martínek, Radana Kahánková, Janusz Jeżewski, et al.
Frontiers in Physiology (2018) Vol. 9
Open Access | Times Cited: 102
Improvement of Bagging performance for classification of imbalanced datasets using evolutionary multi-objective optimization
Seyed Ehsan Roshan, Shahrokh Asadi
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103319-103319
Closed Access | Times Cited: 91
Ensemble of heterogeneous classifiers for diagnosis and prediction of coronary artery disease with reduced feature subset
Durgadevi Velusamy, Karthikeyan Ramasamy
Computer Methods and Programs in Biomedicine (2020) Vol. 198, pp. 105770-105770
Closed Access | Times Cited: 87
An Optimally Configured and Improved Deep Belief Network (OCI-DBN) Approach for Heart Disease Prediction Based on Ruzzo–Tompa and Stacked Genetic Algorithm
Syed Arslan Ali, Basit Raza, Ahmad Kamran Malik, et al.
IEEE Access (2020) Vol. 8, pp. 65947-65958
Open Access | Times Cited: 86
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
Providing diagnosis on diabetes using cloud computing environment to the people living in rural areas of India
Dharmendra Singh Rajput, Syed Muzamil Basha, Qin Xin, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 5, pp. 2829-2840
Closed Access | Times Cited: 65
Improved Heart Disease Prediction Using Particle Swarm Optimization Based Stacked Sparse Autoencoder
Ibomoiye Domor Mienye, Yanxia Sun
Electronics (2021) Vol. 10, Iss. 19, pp. 2347-2347
Open Access | Times Cited: 63
Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
Ashir Javeed, Shafqat Ullah Khan, Liaqat Ali, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-30
Open Access | Times Cited: 62
Empirical Analysis of Machine Learning Algorithms on Imbalance Electrocardiogram Based Arrhythmia Dataset for Heart Disease Detection
Shwet Ketu, Pramod Kumar Mishra
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 1447-1469
Closed Access | Times Cited: 60
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: 54
A CRITIC-TOPSIS and optimized nonlinear grey prediction model: A comparative convergence analysis of marine economic resilience
Xuemei Li, Shiwei Zhou, Yufeng Zhao, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121356-121356
Closed Access | Times Cited: 24
Modified bi-directional long short-term memory and hyperparameter tuning of supervised machine learning models for cardiovascular heart disease prediction in mobile cloud environment
Yakub Kayode Saheed, Taofeekat Tosin Salau-Ibrahim, Mustapha Abdulsalam, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106319-106319
Closed Access | Times Cited: 8
Object Tracking in Vary Lighting Conditions for Fog Based Intelligent Surveillance of Public Spaces
Gaocheng Liu, Shuai Liu, Khan Muhammad, et al.
IEEE Access (2018) Vol. 6, pp. 29283-29296
Open Access | Times Cited: 80
Energy-harvesting based on internet of things and big data analytics for smart health monitoring
Muhammad Ali Babar, Ataur Rahman, Fahim Arif, et al.
Sustainable Computing Informatics and Systems (2017) Vol. 20, pp. 155-164
Closed Access | Times Cited: 74

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