
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:
Accessing Artificial Intelligence for Fetus Health Status Using Hybrid Deep Learning Algorithm (AlexNet-SVM) on Cardiotocographic Data
Nadia Muhammad Hussain, Ateeq Ur Rehman, Mohamed Tahar Ben Othman, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5103-5103
Open Access | Times Cited: 49
Nadia Muhammad Hussain, Ateeq Ur Rehman, Mohamed Tahar Ben Othman, et al.
Sensors (2022) Vol. 22, Iss. 14, pp. 5103-5103
Open Access | Times Cited: 49
Showing 1-25 of 49 citing articles:
Synthesis of Convolutional Neural Network architectures for biomedical image classification
Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106325-106325
Closed Access | Times Cited: 10
Oleh Berezsky, Petro Liashchynskyi, Oleh Pitsun, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106325-106325
Closed Access | Times Cited: 10
Machine learning and disease prediction in obstetrics
Zara Arain, Stamatina Iliodromiti, Greg Slabaugh, et al.
Current Research in Physiology (2023) Vol. 6, pp. 100099-100099
Open Access | Times Cited: 17
Zara Arain, Stamatina Iliodromiti, Greg Slabaugh, et al.
Current Research in Physiology (2023) Vol. 6, pp. 100099-100099
Open Access | Times Cited: 17
Saliency-Aware Deep Learning Approach for Enhanced Endoscopic Image Super-Resolution
Mansoor Hayat, Supavadee Aramvith
IEEE Access (2024) Vol. 12, pp. 83452-83465
Open Access | Times Cited: 7
Mansoor Hayat, Supavadee Aramvith
IEEE Access (2024) Vol. 12, pp. 83452-83465
Open Access | Times Cited: 7
Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning
Rizwana Naz Asif, Sagheer Abbas, Muhammad Adnan Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 21
Rizwana Naz Asif, Sagheer Abbas, Muhammad Adnan Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 21
ETCNet: An EEG-based motor imagery classification model combining efficient channel attention and temporal convolutional network
Yuxin Qin, Baojiang Li, Wenlong Wang, et al.
Brain Research (2023) Vol. 1823, pp. 148673-148673
Closed Access | Times Cited: 12
Yuxin Qin, Baojiang Li, Wenlong Wang, et al.
Brain Research (2023) Vol. 1823, pp. 148673-148673
Closed Access | Times Cited: 12
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets Using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 232-232
Open Access | Times Cited: 4
Konstantinos Pasvantis, Eftychios Protopapadakis
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 232-232
Open Access | Times Cited: 4
Identifying fetal status with fetal heart rate: Deep learning approach based on long convolution
Zhixin Zhou, Zhidong Zhao, Xianfei Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106970-106970
Closed Access | Times Cited: 11
Zhixin Zhou, Zhidong Zhao, Xianfei Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106970-106970
Closed Access | Times Cited: 11
AI in healthcare - Predicting the fetus health using CNN
Sowmia Kanakam Rajendran, M. Shanmugam, H. Veeresh Babu, et al.
AIP conference proceedings (2025) Vol. 3175, pp. 020058-020058
Closed Access
Sowmia Kanakam Rajendran, M. Shanmugam, H. Veeresh Babu, et al.
AIP conference proceedings (2025) Vol. 3175, pp. 020058-020058
Closed Access
Implementation of IoT and WSN Technologies for Health Monitoring
Tehseen Mazhar, Muhammad Iqbal, Muhammad Iqbal, et al.
Communications in computer and information science (2025), pp. 73-87
Closed Access
Tehseen Mazhar, Muhammad Iqbal, Muhammad Iqbal, et al.
Communications in computer and information science (2025), pp. 73-87
Closed Access
Cardiotocography data analysis for foetal health classification using Spatial Bayesian Neural Network Optimized with Dwarf Mongoose Optimizer
P. Solainayagi, G. Sivagaminathan, Sabenabanu Abdulkadhar, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access
P. Solainayagi, G. Sivagaminathan, Sabenabanu Abdulkadhar, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-15
Closed Access
Artificial Intelligence Techniques for Analysing Cardiotocography Signals for Early Detection of Fetal Anomalies Based on Feature Engineering Methods
Ibrahim Abunadi
(2025)
Closed Access
Ibrahim Abunadi
(2025)
Closed Access
A comprehensive review on fetal health surveillance using ultrasound imagery
Gazala Mushtaq, K. Veningston
Deleted Journal (2025) Vol. 7, Iss. 5
Open Access
Gazala Mushtaq, K. Veningston
Deleted Journal (2025) Vol. 7, Iss. 5
Open Access
Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data
Ramdas Kapila, Sumalatha Saleti
Computational Biology and Chemistry (2023) Vol. 107, pp. 107973-107973
Closed Access | Times Cited: 9
Ramdas Kapila, Sumalatha Saleti
Computational Biology and Chemistry (2023) Vol. 107, pp. 107973-107973
Closed Access | Times Cited: 9
TFCNet: A texture-aware and fine-grained feature compensated polyp detection network
Xiaoying Pan, Yaya Mu, Chenyang Ma, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108144-108144
Closed Access | Times Cited: 2
Xiaoying Pan, Yaya Mu, Chenyang Ma, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108144-108144
Closed Access | Times Cited: 2
Does artificial intelligence increase learners’ sustainability in higher education: insights from Bangladesh
Rebaka Sultana, Mohammad Faruk
Journal of Data Information and Management (2024) Vol. 6, Iss. 2, pp. 161-172
Closed Access | Times Cited: 2
Rebaka Sultana, Mohammad Faruk
Journal of Data Information and Management (2024) Vol. 6, Iss. 2, pp. 161-172
Closed Access | Times Cited: 2
Deep learning to combat knee osteoarthritis and severity assessment by using CNN-based classification
Suman Rani, Minakshi Memoria, Ahmad Almogren, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Suman Rani, Minakshi Memoria, Ahmad Almogren, et al.
BMC Musculoskeletal Disorders (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Artificial intelligence-driven predictive framework for early detection of still birth
Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 6, pp. 100203-100203
Open Access | Times Cited: 2
Sarah A. Alzakari, Asma Aldrees, Muhammad Umer, et al.
SLAS TECHNOLOGY (2024) Vol. 29, Iss. 6, pp. 100203-100203
Open Access | Times Cited: 2
Exploring the Intersection of Geophysics and Diagnostic Imaging in the Health Sciences
Rahul Kumar Singh, Nirlipta Priyadarshini Nayak, Tapan Behl, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 139-139
Open Access | Times Cited: 2
Rahul Kumar Singh, Nirlipta Priyadarshini Nayak, Tapan Behl, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 139-139
Open Access | Times Cited: 2
Improvement of accuracy and resilience in FHR classification via double trend accumulation encoding and attention mechanism
Zhixin Zhou, Zhidong Zhao, Xiaohong Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104929-104929
Closed Access | Times Cited: 5
Zhixin Zhou, Zhidong Zhao, Xiaohong Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104929-104929
Closed Access | Times Cited: 5
Distributed power storage and converter system health monitoring Internet of Things under blockchain
Zuozhi Liu
Information Sciences (2023) Vol. 645, pp. 119329-119329
Closed Access | Times Cited: 5
Zuozhi Liu
Information Sciences (2023) Vol. 645, pp. 119329-119329
Closed Access | Times Cited: 5
Fetal monitoring technologies for the detection of intrapartum hypoxia - challenges and opportunities
Nadia Muhammad Hussain, Martin O’Halloran, Barry McDermott, et al.
Biomedical Physics & Engineering Express (2023) Vol. 10, Iss. 2, pp. 022002-022002
Open Access | Times Cited: 5
Nadia Muhammad Hussain, Martin O’Halloran, Barry McDermott, et al.
Biomedical Physics & Engineering Express (2023) Vol. 10, Iss. 2, pp. 022002-022002
Open Access | Times Cited: 5
Automated Diabetic Retinopathy Grading based on the Modified Capsule Network Architecture
Pammi Kumari, Priyank Saxena
IETE Journal of Research (2023) Vol. 70, Iss. 3, pp. 2917-2928
Closed Access | Times Cited: 4
Pammi Kumari, Priyank Saxena
IETE Journal of Research (2023) Vol. 70, Iss. 3, pp. 2917-2928
Closed Access | Times Cited: 4
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
Weifang Xie, Pufan Cai, Yating Hu, et al.
Neurocomputing (2024) Vol. 607, pp. 128446-128446
Closed Access | Times Cited: 1
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model
Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
GANs-Based Intracoronary Optical Coherence Tomography Image Augmentation for Improved Plaques Characterization Using Deep Neural Networks
Haroon Zafar, Junaid Zafar, Faisal Sharif
Optics (2023) Vol. 4, Iss. 2, pp. 288-299
Open Access | Times Cited: 3
Haroon Zafar, Junaid Zafar, Faisal Sharif
Optics (2023) Vol. 4, Iss. 2, pp. 288-299
Open Access | Times Cited: 3