Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 254 citing articles:

Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment
Sachi Gupta, Sailesh Iyer, Gaurav Agarwal, et al.
Electronics (2022) Vol. 11, Iss. 16, pp. 2557-2557
Open Access | Times Cited: 72
An early detection and segmentation of Brain Tumor using Deep Neural Network
Mukul Aggarwal, Amod Kumar Tiwari, Parthasarathi Mangipudi, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 59
Enhancing Heart Disease Prediction through Ensemble Learning Techniques with Hyperparameter Optimization
Daniyal Asif, Mairaj Bibi, Muhammad Shoaib Arif, et al.
Algorithms (2023) Vol. 16, Iss. 6, pp. 308-308
Open Access | Times Cited: 53
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Arsalan Khan, Moiz Qureshi, Muhammad Daniyal, et al.
Health & Social Care in the Community (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 50
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
SVM‐based generative adverserial networks for federated learning and edge computing attack model and outpoising
Poongodi Manoharan, Ranjan Walia, Celestine Iwendi, et al.
Expert Systems (2022) Vol. 40, Iss. 5
Closed Access | Times Cited: 58
Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology
Satheeshkumar Sekar, Annamalai Solayappan, J. Srimathi, et al.
International Journal of Information Technology and Web Engineering (2022) Vol. 17, Iss. 1, pp. 1-14
Open Access | Times Cited: 47
Lightweight Federated Learning for Rice Leaf Disease Classification Using Non Independent and Identically Distributed Images
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12149-12149
Open Access | Times Cited: 32
Edge AI for Early Detection of Chronic Diseases and the Spread of Infectious Diseases: Opportunities, Challenges, and Future Directions
Elarbi Badidi
Future Internet (2023) Vol. 15, Iss. 11, pp. 370-370
Open Access | Times Cited: 28
An Efficient Computational Risk Prediction Model of Heart Diseases Based on Dual-Stage Stacked Machine Learning Approaches
Subhash Mondal, Ranjan Maity, Yachang Omo, et al.
IEEE Access (2024) Vol. 12, pp. 7255-7270
Open Access | Times Cited: 14
Predicting photovoltaic efficiency in Cs-based perovskite solar cells: A comprehensive study integrating SCAPS simulation and machine learning models
Nikhil Shrivastav, Jaya Madan, Rahul Pandey
Solid State Communications (2024) Vol. 380, pp. 115437-115437
Closed Access | Times Cited: 14
Enhancing parasitic organism detection in microscopy images through deep learning and fine-tuned optimizer
Yogesh Kumar, Pertik Garg, Manu Raj Moudgil, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
A machine learning model for Alzheimer's disease prediction
Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, et al.
IET Cyber-Physical Systems Theory & Applications (2024) Vol. 9, Iss. 2, pp. 125-134
Open Access | Times Cited: 13
Resource-efficient federated learning over IoAT for rice leaf disease classification
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109001-109001
Closed Access | Times Cited: 13
Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning models
Hossein Sadr, Arsalan Salari, Mohammad Taghi Ashoobi, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 12
A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting
Fathe Jeribi, John Martin, Ruchi Mittal, et al.
IEEE Access (2024) Vol. 12, pp. 103810-103829
Open Access | Times Cited: 11
Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection
Tahseen Ullah, Syed Irfan Ullah, Khalil Ullah, et al.
IEEE Access (2024) Vol. 12, pp. 16431-16446
Open Access | Times Cited: 9
DermCDSM: Clinical Decision Support Model for Dermatosis Using Systematic Approaches of Machine Learning and Deep Learning
Ruchi Mittal, Fathe Jeribi, John Martin, et al.
IEEE Access (2024) Vol. 12, pp. 47319-47337
Open Access | Times Cited: 9
Exploring Few-Shot Learning Approaches for Bioinformatics Advancements
Neha Bhati, Ronak Duggar, Abdullah Alzahrani
Advances in bioinformatics and biomedical engineering book series (2024), pp. 303-316
Closed Access | Times Cited: 9
Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model
Mojdeh Nazari, Hassan Emami, Reza Rabiei, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2264-2278
Closed Access | Times Cited: 9
Heart Disease Detection Using Feature Extraction and Artificial Neural Networks: A Sensor-Based Approach
Awad Bin Naeem, Biswaranjan Senapati, Dipen Bhuva, et al.
IEEE Access (2024) Vol. 12, pp. 37349-37362
Open Access | Times Cited: 8
Big Data Analytics Framework Using Squirrel Search Optimized Gradient Boosted Decision Tree for Heart Disease Diagnosis
Kareemulla Shaik, Janjhyam Venkata Naga Ramesh, Miroslav Mahdal, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5236-5236
Open Access | Times Cited: 20
Mitigating the Impact of Guava Leaf Diseases Using CNNs and Federated Learning
D. S. Malik, Vinay Kukreja, Shiva Mehta, et al.
(2023)
Closed Access | Times Cited: 18
A novel approach for human diseases prediction using nature inspired computing & machine learning approach
MunishKhanna, Law Kumar Singh, Hitendra Garg
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 17773-17809
Closed Access | Times Cited: 17
Machine learning-aided optimization for transport layer parameters of low lead inorganic Zn-based mixed-halide perovskite solar cell
Navdeep Kaur, Rahul Pandey, M. Khalid Hossain, et al.
Solar Energy (2023) Vol. 264, pp. 112055-112055
Closed Access | Times Cited: 17
Page 1 - Next Page

Scroll to top