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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:

Classifying Cardiotocography Data based on Rough Neural Network
Belal Amin, Mona Gamal, Ammar Ali, et al.
International Journal of Advanced Computer Science and Applications (2019) Vol. 10, Iss. 8
Open Access | Times Cited: 20

Showing 20 citing articles:

A Comprehensive Review of Techniques for Processing and Analyzing Fetal Heart Rate Signals
Alfonso Maria Ponsiglione, Carlo Cosentino, Giuseppe Cesarelli, et al.
Sensors (2021) Vol. 21, Iss. 18, pp. 6136-6136
Open Access | Times Cited: 81
Analyzing uncertainty in cardiotocogram data for the prediction of fetal risks based on machine learning techniques using rough set
E. Kannan, S Ravikumar, A. Anitha, et al.
Journal of Ambient Intelligence and Humanized Computing (2021)
Closed Access | Times Cited: 26
Intelligent Neutrosophic Diagnostic System for Cardiotocography Data
Belal Amin, A. A. Salama, Ibrahim Elhenawy, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 23
Detection of Suspicious Cardiotocographic Recordings by Means of a Machine Learning Classifier
Carlo Ricciardi, Francesco Amato, Annarita Tedesco, et al.
Bioengineering (2023) Vol. 10, Iss. 2, pp. 252-252
Open Access | Times Cited: 5
AI-driven paradigm shift in computerized cardiotocography analysis: A systematic review and promising directions
Weifang Xie, Pufan Cai, Yating Hu, et al.
Neurocomputing (2024) Vol. 607, pp. 128446-128446
Closed Access | Times Cited: 1
Imbalanced Cardiotocography Data Classification Using Re-sampling Techniques
Jayashree Piri, Puspanjali Mohapatra
Algorithms for intelligent systems (2021), pp. 681-692
Closed Access | Times Cited: 7
Extreme Learning Machines with feature selection using GA for effective prediction of fetal heart disease: A Novel Approach
Debjani Panda, Divyajyoti Panda, Satya Ranjan Dash, et al.
Informatica (2021) Vol. 45, Iss. 3
Open Access | Times Cited: 6
Visual Analytics in Explaining Neural Networks with Neuron Clustering
Gülsüm Alicioğlu, Bo Sun
AI (2024) Vol. 5, Iss. 2, pp. 465-481
Open Access
An evolving feature weighting framework for radial basis function neural network models
Muhammad Zaiyad Muda, Adrian Rubio Solis, George Panoutsos
Expert Systems (2022) Vol. 40, Iss. 5
Open Access | Times Cited: 3
An Optimized Single Layer Perceptron-based Approach for Cardiotocography Data Classification
Bader Fahad Alkhamees
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 10
Open Access | Times Cited: 3
Improved Gaussian Grasshopper Optimization Algorithm (IGGOA) and Deep Belief Network (DBN) For Fetal Health Classification
B. Jansi, V. Sumalatha
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-7
Closed Access
Polynomial FLANN Classifier for Fetal Cardiotocography Monitoring
Mohammad T. Haweel, O. Zahran, Fathi E. Abd El‐Samie
(2021), pp. 262-270
Closed Access | Times Cited: 4
A Novel Ensemble Classifier Framework for Accurate Fetal Heart Rate Classification
R. Hephzibah, Hepzibah A. Christinal, R. Jayanthi, et al.
(2023)
Closed Access | Times Cited: 1
Deep Learning for Cardiotocography Analysis: Challenges and Promising Advances
Cang Chen, Weifang Xie, Zhiqi Cai, et al.
Lecture notes in computer science (2023), pp. 354-366
Closed Access | Times Cited: 1
Data Mining for the Prediction of Fetal Malformation Through Cardiotocography Data
Maria Alice Pinheiro Nogueira, Diana Ferreira, Cristiana Neto, et al.
Advances in intelligent systems and computing (2021), pp. 60-69
Closed Access | Times Cited: 2
ML-Based Interpretation of Cardiotocography Data: Current State and Future Research
Trie Maya Kadarina, Basari Basari, Dadang Gunawan
(2023), pp. 1-6
Closed Access
Artificial Intelligence in Fetal Health Diagnosis: A Systematic Literature Review
Adem Kuzu, Yunus Santur
Türkiye Sağlık Enstitüleri Başkanlığı Dergisi (2023) Vol. 6, Iss. 3, pp. 125-153
Open Access
On NeutroAlgebra Environment for Image Retrieval
A. A. Salama, Mariam Hariri
Advances in computer and electrical engineering book series (2022), pp. 234-259
Closed Access
Penggunaan Drawing Pen Tablet sebagai Media Pembelajaran Cardiotocography di Masa Pandemi Covid-19
Leni Suhartini, Judi J Endjun
Maternal & Neonatal Health Journal (2021) Vol. 2, Iss. 2, pp. 60-65
Open Access
Analyze Cardiotocograph to Classify the Fetal Status Using Various Machine Learning Algorithms
Mathur Swati
Lecture notes in networks and systems (2021), pp. 301-307
Closed Access
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