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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:

A survey on applying machine learning techniques for management of diseases
Enas M. F. El Houby
Journal of Applied Biomedicine (2018) Vol. 16, Iss. 3, pp. 165-174
Closed Access | Times Cited: 64

Showing 26-50 of 64 citing articles:

Minimum Relevant Features to Obtain Explainable Systems for Predicting Cardiovascular Disease Using the Statlog Data Set
Roberto Porto, José Manuel Molina, Antonio Berlanga, et al.
Applied Sciences (2021) Vol. 11, Iss. 3, pp. 1285-1285
Open Access | Times Cited: 15
Optimization of Population Document Services in Villages using Naive Bayes and k-NN Method
Imam Riadi, Anton Yudhana, M. Rosyidi Djou
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 127-138
Open Access | Times Cited: 1
Comparative Analysis of Naïve Bayes and K-NN in Determining Location of Mobile Population Services
Imam Riadi, Anton Yudhana, M. Rosyidi Djou
Jurnal CoSciTech (Computer Science and Information Technology) (2024) Vol. 4, Iss. 3, pp. 733-742
Open Access | Times Cited: 1
Explaining Ovarian Cancer Gene Expression Profiles with Fuzzy Rules and Genetic Algorithms
Arianna Consiglio, Gabriella Casalino, Giovanna Castellano, et al.
Electronics (2021) Vol. 10, Iss. 4, pp. 375-375
Open Access | Times Cited: 11
Artificial Intelligence Model for Earlier Prediction of Cardiac Functionalities Using Multilayer Perceptron
R. Sivaranjani, Dr.N. Yuvaraj
Journal of Physics Conference Series (2019) Vol. 1362, pp. 012062-012062
Open Access | Times Cited: 11
Machine Learning Approaches for Brinjal Leaf Disease Detection
Simrin Fathima Syed, Gurbakash Phonsa
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 226-234
Closed Access | Times Cited: 3
Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer
Asim Khan, Umair Nawaz, Lochan Kshetrimayum, et al.
(2023), pp. 645-651
Open Access | Times Cited: 3
Machine Learning for Ischemic Heart Disease Diagnosis Aided by Evolutionary Computing
Mohammad Alsaffar, Abdullah Alshammari, Gharbi Alshammari, et al.
Applied Bionics and Biomechanics (2021) Vol. 2021, pp. 1-8
Open Access | Times Cited: 8
Towards an Oversampling Method to Improve Hepatocellular Carcinoma Early Prediction
Mahbouba Hattab, Ahmed Maalel, Henda Hajjami Ben Ghézala
Advances in predictive, preventive and personalised medicine (2020), pp. 139-148
Closed Access | Times Cited: 6
A Healthcare Monitoring System for Predicting Heart Disease through Recurrent Neural Network
Rajkumar Banoth, Aruna Kranthi Godishala, R. Veena, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2022), pp. 1-7
Closed Access | Times Cited: 4
Proposing Logical Table Constructs for Enhanced Machine Learning Process
Muhammad Fahim Uddin, Syed S. Rizvi, Abdul Razaque
IEEE Access (2018) Vol. 6, pp. 47751-47769
Open Access | Times Cited: 5
Plant Leaf Disease Detection Using Mobilenetv2
Devvret Verma, Dibyahash Bordoloi, Vikas Tripathi
Webology (2021), pp. 3241-3246
Open Access | Times Cited: 5
Studying the Diagnostic Effectiveness of English Education Based on Rule Mining and Question Type Association Analysis
Yan Wu, Baohua Gao
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 3
Management of Type 2 Diabetes -- Applications of Machine Learning and Electronic Medical Records-based Analytics
Azam Dekamin
(2024)
Open Access
Management of Type 2 Diabetes -- Applications of Machine Learning and Electronic Medical Records-based Analytics
Azam Dekamin
(2024)
Open Access
Automatic localization of image semantic patches for crop disease recognition
Haidong Li, Hansu Zhang, Jinling Zhao, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112076-112076
Closed Access
Development of a Novel Hybrid MobileNet-V3 Model for Improved Tomato Disease Detection
Ahmad Ashraf Zargar, Smaran Kar, Ashok Kumar Mahapatra, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2024), pp. 1-5
Closed Access
Hybrid Methods For Classification Of Breast Cancer Using Machine Learning Techniques
S Rajdarsan, Shreyas Balaji S, Uppugunduri Nikhil, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
An overview of the most efficient methods for predicting healthcare disorders
Aicha Oussous, Abderrahmane Ez-Zahout, S. Ziti, et al.
AIP conference proceedings (2023) Vol. 2814, pp. 020003-020003
Closed Access | Times Cited: 1
Machine Learning Approaches for Brinjal Leaf Disease Detection
Gurbakash Phonsa, Simrin Fathima Syed
Lecture notes in networks and systems (2023), pp. 417-427
Closed Access | Times Cited: 1
Enhancing Self-Care Prediction in Children with Impairments: A Novel Framework for Addressing Imbalance and High Dimensionality
Eman Ibrahim Alyasin, Oğuz Ata, Hayder Mohammedqasim, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 356-356
Open Access | Times Cited: 1
Minimum Relevant features to Obtain Explainable Systems for Predicting Cardiovascular Disease Using the Statlog Dataset
Roberto Porto, José Manuel Molina, Antonio Berlanga, et al.
(2020)
Open Access | Times Cited: 3
Data-driven diagnosis of spinal cord abnormalities
A. Jerome Christhudass, P. Manimegalai, P. Subha Hency Jose, et al.
AIP conference proceedings (2022)
Open Access | Times Cited: 2
Machine Learning-Based Approach for Predictive Analytics in Healthcare
Sandeep Kumar Hegde, Monica R. Mundada
Advances in systems analysis, software engineering, and high performance computing book series (2021), pp. 182-206
Closed Access | Times Cited: 2
A Comparative Study of Various Machine Learning Methods on Ovarian Tumor
M. Jeya Sundari, N.C. Brintha
2021 Sixth International Conference on Image Information Processing (ICIIP) (2021), pp. 314-319
Closed Access | Times Cited: 2

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