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:
PBTNet: A New Computer-Aided Diagnosis System for Detecting Primary Brain Tumors
Siyuan Lu, Suresh Chandra Satapathy, Shuihua Wang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 8
Siyuan Lu, Suresh Chandra Satapathy, Shuihua Wang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
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: 2
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Ensemble deep learning for brain tumor detection
Shtwai Alsubai, Habib Ullah Khan, Abdullah Alqahtani, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 63
Shtwai Alsubai, Habib Ullah Khan, Abdullah Alqahtani, et al.
Frontiers in Computational Neuroscience (2022) Vol. 16
Open Access | Times Cited: 63
DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
Ziquan Zhu, Siyuan Lu, Shuihua Wang, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 24
Ziquan Zhu, Siyuan Lu, Shuihua Wang, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 24
Fully automated deep learning system for osteoporosis screening using chest computed tomography images
Shigeng Wang, Xiaoyu Tong, Qiye Cheng, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 4, pp. 2816-2827
Open Access | Times Cited: 4
Shigeng Wang, Xiaoyu Tong, Qiye Cheng, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 4, pp. 2816-2827
Open Access | Times Cited: 4
RDNet: ResNet-18 with Dropout for Blood Cell Classification
Ziquan Zhu, Zeyu Ren, Shuihua Wang, et al.
Lecture notes in computer science (2022), pp. 136-144
Open Access | Times Cited: 3
Ziquan Zhu, Zeyu Ren, Shuihua Wang, et al.
Lecture notes in computer science (2022), pp. 136-144
Open Access | Times Cited: 3
Computational Analysis based on Advanced Correlation Automatic Detection Technology in BDD-FFS System
Zheng Xiao, Muhammad Tahir, Mingchu Li, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 3
Zheng Xiao, Muhammad Tahir, Mingchu Li, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 3
Classification of Medical Images using Deep Learning
Romaisa Tariq, Najme Zehra Naqvi
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2
Romaisa Tariq, Najme Zehra Naqvi
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 2
A Comprehensive Review on Strategies to Detect, Diagnose and Classify Brain Tumors
Mansi Lather, Parvinder Singh
Biomedical & Pharmacology Journal (2023) Vol. 16, Iss. 4, pp. 1915-1926
Open Access
Mansi Lather, Parvinder Singh
Biomedical & Pharmacology Journal (2023) Vol. 16, Iss. 4, pp. 1915-1926
Open Access
