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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:

Inflammatory lesions and brain tumors: is it possible to differentiate them based on texture features in magnetic resonance imaging?
Allan Felipe Fattori Alves, José Ricardo de Arruda Miranda, Fabiano Reis, et al.
˜The œJournal of venomous animals and toxins including tropical diseases (2020) Vol. 26
Open Access | Times Cited: 25

Showing 25 citing articles:

A Survey of Brain Tumor Segmentation and Classification Algorithms
Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, et al.
Journal of Imaging (2021) Vol. 7, Iss. 9, pp. 179-179
Open Access | Times Cited: 125
Efficient Brain Tumor Detection with Lightweight End-to-End Deep Learning Model
Mohamed Hammad, Mohammed ElAffendi, Abdelhamied A. Ateya, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2837-2837
Open Access | Times Cited: 21
Wavelet transformation can enhance computed tomography texture features: a multicenter radiomics study for grade assessment of COVID-19 pulmonary lesions
Zekun Jiang, Jin Yin, Pei‐Lun Han, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 10, pp. 4758-4770
Open Access | Times Cited: 27
Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective
Ming Zhu, Sijia Li, Yu Kuang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 21
Comparison of MRI Sequences to Predict IDH Mutation Status in Gliomas Using Radiomics-Based Machine Learning
Dilek N. G. Kasap, Nabila Gala Nacul Mora, David A. Blömer, et al.
Biomedicines (2024) Vol. 12, Iss. 4, pp. 725-725
Open Access | Times Cited: 4
Unfolding Explainable AI for Brain Tumor Segmentation
Muhammad Hassan, Ahmed Ameen Fateh, Jieqiong Lin, et al.
Neurocomputing (2024) Vol. 599, pp. 128058-128058
Open Access | Times Cited: 3
Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation
Jiangfen Wu, Qian Xu, Yiqing Shen, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 15, pp. 4625-4625
Open Access | Times Cited: 15
Role of advanced imaging techniques in the evaluation of oncological therapies in patients with colorectal liver metastases
Martina Caruso, Arnaldo Stanzione, Anna Prinster, et al.
World Journal of Gastroenterology (2023) Vol. 29, Iss. 3, pp. 521-535
Open Access | Times Cited: 7
Clinical Characteristics and Treatment of Listeria monocytogenes Infections in the Central Nervous System
Xiaojiao Xu, Yuheng Shan, Yuying Cen, et al.
Infection and Drug Resistance (2023) Vol. Volume 16, pp. 5899-5909
Open Access | Times Cited: 6
Recognition of brain tumors in MRI images using texture analysis
Buthayna G. Elshaikh, Mem Garelnabi, Hiba Omer, et al.
Saudi Journal of Biological Sciences (2021) Vol. 28, Iss. 4, pp. 2381-2387
Open Access | Times Cited: 13
Deep Learning Approaches for Imaging-Based Automated Segmentation of Tuberous Sclerosis Complex
Xuemin Zhao, Xu Hu, Zhihao Guo, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 3, pp. 680-680
Open Access | Times Cited: 1
A CT Radiomics Analysis of the Adrenal Masses: Can We Discriminate Lipid-poor Adenomas from the Pheochromocytoma and Malignant Masses?
Bökebatur Ahmet Raşit Mendi, Mutlu Gülbay
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 19, Iss. 9
Closed Access | Times Cited: 7
Texture analysis: A potential tool to differentiate primary brain tumors and solitary brain metastasis
Silvana A.S. Souza, Raissa Alexia Camargo Guassu, Allan Felipe Fattori Alves, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 39523-39535
Closed Access | Times Cited: 3
Brain tumor segmentation and classification with hybrid clustering, probabilistic neural networks
Mohammad Javeed, Regonda Nagaraju, C. Raja, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 4, pp. 6485-6500
Closed Access | Times Cited: 2
Estimation of Bone Mineral Density in the Femoral Neck and Lumbar Spine using Texture Analysis of Chest and Pelvis Computed Tomography Hounsfield Unit
Young-Kyoung Min, Dong-Ha Lee, Jaeheung Yoo, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2022) Vol. 19, Iss. 10
Closed Access | Times Cited: 3
Domain Adaptation in Medical Imaging: Evaluating the Effectiveness of Transfer Learning
Arifa Akter Eva, Jamin Rahman Jim, Ashifur Rahman, et al.
Studies in big data (2024), pp. 1-23
Closed Access
Machine Learning Recognizes Stages of Parkinson’s Disease Using Magnetic Resonance Imaging
Artur Chudzik
Sensors (2024) Vol. 24, Iss. 24, pp. 8152-8152
Open Access
High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network
Hán Trọng Thanh, Hinh Nguyen Van, Dang Luu Vu
Applied Bionics and Biomechanics (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 1
A Survey on Brain Tumor Detection from MRI Images Using Machine Learning Techniques
R. Srikanth, N. Kanya, P Raja Kumar
NanoWorld Journal (2023) Vol. 9
Open Access | Times Cited: 1
Educational Case: Brain abscess
Rick Bowens, Larry Nichols
Academic Pathology (2022) Vol. 9, Iss. 1, pp. 100017-100017
Open Access | Times Cited: 2
Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review
Kaining Sheng, Cecilie Mørck Offersen, Jon Middleton, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1878-1878
Open Access | Times Cited: 2
Features extraction of MRI image using complex network with low computational complexity to distinguish inflammatory lesions from tumors in the human brain
Hán Trọng Thanh, Tung Nguyen Duy, Lam Nguyen Dang Son, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 1, pp. 94-102
Closed Access | Times Cited: 1
Imaging of central nervous system manifestations of tuberous sclerosis: a current pictorial review for an “old” disease
Heitor Ramos Passeri, Luciano de Lima Villarinho, Fabiano Reis, et al.
Brazilian Journal of Health Review (2023) Vol. 6, Iss. 1, pp. 2682-2700
Open Access
Imaging of central nervous system manifestations of Tuberous Sclerosis: a current pictorial review for an “old” disease
Heitor Ramos Passeri, Fabiano Reis, Luciano de Lima Villarinho, et al.
Brazilian Journal of Health Review (2023) Vol. 6, Iss. 2, pp. 8127-8144
Open Access
Comparative Analysis of CT Texture in Lumbar and Femur and Its Correlation with Bone Mineral Density and Content over Time: An Exploratory Study
Min-Woo Kim, Youngmin Noh, Jung-Wook Huh, et al.
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3588-3588
Open Access
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