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:
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
Fanfeng Shi, Jiaji Wang, Vishnuvarthanan Govindaraj
Mobile Networks and Applications (2024)
Open Access | Times Cited: 8
Fanfeng Shi, Jiaji Wang, Vishnuvarthanan Govindaraj
Mobile Networks and Applications (2024)
Open Access | Times Cited: 8
Showing 8 citing articles:
Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
RobU-Net: a heuristic robust multi-class brain tumor segmentation approaches for MRI scans
Shahzad Ahmad Qureshi, Qurat-ul-ain Chaudhary, Romana Schirhagl, et al.
Waves in Random and Complex Media (2024), pp. 1-51
Closed Access | Times Cited: 4
Shahzad Ahmad Qureshi, Qurat-ul-ain Chaudhary, Romana Schirhagl, et al.
Waves in Random and Complex Media (2024), pp. 1-51
Closed Access | Times Cited: 4
Neutrosophic Morphological Segmented Gaussian Regressive Deep Convolutional Network for MRI Images Brain Tumor Classification
Gajarajan Mohanapriya, D Aarthi, S. Muthukumar, et al.
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Gajarajan Mohanapriya, D Aarthi, S. Muthukumar, et al.
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Artificial intelligence in diabetes management: transformative potential, challenges, and opportunities in healthcare
Arnabjyoti Deva Sarma, Moitrayee Devi
HORMONES (2025)
Closed Access
Arnabjyoti Deva Sarma, Moitrayee Devi
HORMONES (2025)
Closed Access
Enhancing human computer interaction with coot optimization and deep learning for multi language identification
Elvir Akhmetshin, Galina Vladimirovna Meshkova, Maria V. Mikhailova, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Elvir Akhmetshin, Galina Vladimirovna Meshkova, Maria V. Mikhailova, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Alzheimer's disease stage recognition from MRI and PET imaging data using Pareto-optimal quantum dynamic optimization
Modupe Odusami, Robertas Damaševičius, Egle Milieškaitė-Belousovienė, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e34402-e34402
Open Access | Times Cited: 2
Modupe Odusami, Robertas Damaševičius, Egle Milieškaitė-Belousovienė, et al.
Heliyon (2024) Vol. 10, Iss. 15, pp. e34402-e34402
Open Access | Times Cited: 2
Segmentation of MR images for brain tumor detection using autoencoder neural network
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Optimize multiscale feature hybrid-net deep learning approach used for automatic pancreas image segmentation
Pradip Paithane
Machine Vision and Applications (2024) Vol. 35, Iss. 6
Closed Access
Pradip Paithane
Machine Vision and Applications (2024) Vol. 35, Iss. 6
Closed Access
