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:

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

Showing 1-25 of 26 citing articles:

Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study
Leandro Donisi, Carlo Ricciardi, Giuseppe Cesarelli, et al.
Electronics (2022) Vol. 11, Iss. 3, pp. 448-448
Open Access | Times Cited: 14
Cardiotocography Data Analysis to Predict Fetal Health Risks with Tree-Based Ensemble Learning
Pankaj Bhowmik, Pulak Chandra Bhowmik, U. A. Md. Ehsan Ali, et al.
International Journal of Information Technology and Computer Science (2021) Vol. 13, Iss. 5, pp. 30-40
Open Access | Times Cited: 16
On designing a biosignal-based fetal state assessment system: A systematic mapping study
Manuel Gonçalves da Silva Neto, João Paulo do Vale Madeiro, Danielo G. Gomes
Computer Methods and Programs in Biomedicine (2022) Vol. 216, pp. 106671-106671
Closed Access | Times Cited: 8
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
Early Detection of Breast Cancer with IoT: A Promising Solution
D Hemalatha, S. Alex David, Almas Begum, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-6
Closed Access | Times Cited: 3
Diabetic retinopathy detection using deep learning techniques
Sowmia Kanakam Rajendran, Dennise Mathew, R. Babu, et al.
AIP conference proceedings (2023) Vol. 2854, pp. 020106-020106
Closed Access | Times Cited: 3
Fetal Health Status Prediction During Labor and Delivery Based on Cardiotocogram Data Using Machine and Deep Learning
Anu Singha, Joe Raj S. Noel, R. V. Adhikrishna, et al.
Advanced technologies and societal change (2023), pp. 105-135
Closed Access | Times Cited: 2
Study on various stock prediction techniques with news sentiment
K. Vijay, S. Dhinakaran, Priya Vijay, et al.
AIP conference proceedings (2023) Vol. 2854, pp. 020088-020088
Closed Access | Times Cited: 2
Multi-Classification of Fetal Health Status Using Extreme Learning Machine
Ömer KASIM
ICONTECH INTERNATIONAL JOURNAL (2021) Vol. 5, Iss. 2, pp. 62-70
Open Access | Times Cited: 5
A nonlinear recurrent encoders for early detection of strep throat infection to prevent acute rheumatic fever
K. Antony Kumar, M. J. Carmel Mary Belinda, V. Dhilip Kumar, et al.
Journal of Ambient Intelligence and Humanized Computing (2024) Vol. 15, Iss. 4, pp. 2201-2213
Closed Access
Abnormal behaviour detection in surveillance videos using post estimation method – A deep dive
R. Vijayakumar, K. Vijay, C. Hemanathan, et al.
AIP conference proceedings (2024) Vol. 3075, pp. 020006-020006
Closed Access
Segmentation and Detection of Liver Tumors from CT Scans using TransUNet Architecture in Deep Learning
Koushik Sundar, Eashaan Manohar, Vijay Kotra, et al.
(2024), pp. 997-1002
Closed Access
A Novel Approach for Detection of Ocular Diseases using Deep Learning Concepts
R Pradeep, K. E. Narayana, J Kabilesh, et al.
(2024), pp. 1-6
Closed Access
Rat Swarm Optimizer for fetal growth prediction with multidirectional perception generative adversarial network
M. Govindarajan, S. Bharathi
Smart Science (2024), pp. 1-12
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
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
Neighborhood Rough Fuzzy Penetration Control Method with Variable Precision Based on GMAW
Xiaohong Xiang, Zhiqiang Feng, Hao Yuan, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9215-9215
Open Access
Survey on automating file system using machine learning and scripting
Vinodhkumar Sukumaran, Bhuvaneswaran Balasubramanian, Adhithyan Girikumar, et al.
AIP conference proceedings (2023) Vol. 2854, pp. 020096-020096
Closed Access
Classifying Fetal Health Using Neural Networks by Boosting Imbalanced Classes
Perumalla Anoosha, Renuka Devi Parlapalli, E. Srikanth Reddy, et al.
Lecture notes in networks and systems (2023), pp. 337-346
Closed Access
An Effective Disease Prediction System using CRF based Butterfly Optimization, Fuzzy Decision Tree and DBN
D. Manivannan, M. Kavitha
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5, pp. 12-22
Open 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
Integrating UNet and LSTM Architectures for Enhanced Fake News
Carmel Mary Belinda M J, E. Kannan, Almas Begum, et al.
(2023), pp. 1-6
Closed Access
Enhanced Brain Tumor Diagnosis through Multimodal Fusion and 3D Convolutional Neural Networks
Carmel Mary Belinda M J, E. Kannan, S. Alex David, et al.
(2023) Vol. 23, pp. 1371-1375
Closed Access
Deep Neural Networks provide expert level prediction accuracy in classification of fetal state from Cardiotocography records (Preprint)
Zeynep Pacci, Aslı Uyar
(2022)
Open Access
Deep Neural Networks provide expert level prediction accuracy in classification of fetal state from Cardiotocography records (Preprint)
Zeynep Pacci, Aslı Uyar
JMIR Medical Informatics (2022)
Open Access
Page 1 - Next Page

Scroll to top