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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:

Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers
Santiago Cepeda, Ignacio Arrese, Sergio García-García, et al.
World Neurosurgery (2020) Vol. 146, pp. e1147-e1159
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Machine Learning Meets Cancer
Elena V. Varlamova, Maria A. Butakova, Vlada V. Semyonova, et al.
Cancers (2024) Vol. 16, Iss. 6, pp. 1100-1100
Open Access | Times Cited: 10
A Spotlight on the Role of Radiomics and Machine-Learning Applications in the Management of Intracranial Meningiomas: A New Perspective in Neuro-Oncology: A Review
Lara Brunasso, Gianluca Ferini, Lapo Bonosi, et al.
Life (2022) Vol. 12, Iss. 4, pp. 586-586
Open Access | Times Cited: 27
Multiparametric Intraoperative Ultrasound in Oncological Neurosurgery: A Pictorial Essay
Francesco Prada, Riccardo Ciocca, Nicoletta Corradino, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 23
Preoperative Prediction of Meningioma Consistency via Machine Learning-Based Radiomics
Yixuan Zhai, Dixiang Song, Fengdong Yang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 31
Meningioma Radiomics: At the Nexus of Imaging, Pathology and Biomolecular Characterization
Lorenzo Ugga, Gaia Spadarella, Lorenzo Pinto, et al.
Cancers (2022) Vol. 14, Iss. 11, pp. 2605-2605
Open Access | Times Cited: 20
MRI-Based Meningioma Firmness Classification Using an Adversarial Feature Learning Approach
Miada Murad, Ameur Touir, Mohamed Maher Ben Ismail
Sensors (2025) Vol. 25, Iss. 5, pp. 1397-1397
Open Access
Machine Learning for the Detection and Segmentation of Benign Tumors of the Central Nervous System: A Systematic Review
Paul Windisch, Carole Koechli, Susanne Rogers, et al.
Cancers (2022) Vol. 14, Iss. 11, pp. 2676-2676
Open Access | Times Cited: 15
Use of magnetic resonance elastography to gauge meningioma intratumoral consistency and histotype
Yu Shi, Yunlong Huo, Pan Chen, et al.
NeuroImage Clinical (2022) Vol. 36, pp. 103173-103173
Open Access | Times Cited: 12
Deep radiomics-based prognostic prediction of oral cancer using optical coherence tomography
Wei Yuan, Jiayi Rao, Yanbin Liu, et al.
BMC Oral Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Meningioma consistency assessment based on the fusion of deep learning features and radiomics features
Jiatian Zhang, Yajing Zhao, Yiping Lu, et al.
European Journal of Radiology (2023) Vol. 170, pp. 111250-111250
Closed Access | Times Cited: 6
T2-Weighted Imaging and Apparent Diffusion Coefficient Histogram Parameters Predict Meningioma Consistency
Tao Han, Xianwang Liu, Jiachen Sun, et al.
Academic Radiology (2023) Vol. 31, Iss. 6, pp. 2511-2520
Closed Access | Times Cited: 6
Histogram analysis of tensor-valued diffusion MRI in meningiomas: Relation to consistency, histological grade and type
Jan Brabec, Filip Szczepankiewicz, Finn Lennartsson, et al.
NeuroImage Clinical (2021) Vol. 33, pp. 102912-102912
Open Access | Times Cited: 13
Applications of elastography in operative neurosurgery: A systematic review
Andrew M. Hersh, Carly Weber-Levine, Kelly Jiang, et al.
Journal of Clinical Neuroscience (2022) Vol. 104, pp. 18-28
Open Access | Times Cited: 9
Advantages and Limitations of Intraoperative Ultrasound Strain Elastography Applied in Brain Tumor Surgery: A Single-Center Experience
Santiago Cepeda, Sergio García-García, Ignacio Arrese, et al.
Operative Neurosurgery (2022) Vol. 22, Iss. 5
Open Access | Times Cited: 8
Improved quantification of tumor adhesion in meningiomas using MR elastography-based slip interface imaging
Keni Zheng, Matthew C. Murphy, Emanuele Camerucci, et al.
PLoS ONE (2024) Vol. 19, Iss. 6, pp. e0305247-e0305247
Open Access | Times Cited: 1
Intracranial meningioma: A review of recent and emerging data on the utility of preoperative imaging for management
Bryce D. Beutler, Jonathan Lee, Sarah P. Edminster, et al.
Journal of Neuroimaging (2024) Vol. 34, Iss. 5, pp. 527-547
Open Access | Times Cited: 1
Preoperative prediction of CNS WHO grade and tumour aggressiveness in intracranial meningioma based on radiomics and structured semantics
Darius Kalasauskas, Michael Kosterhon, Elena Kurz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Artificial intelligence-driven radiological biomarkers: A narrative review of artificial intelligence in meningioma diagnosis
Antonio Navarro Ballester
NeuroMarkers. (2024), pp. 100033-100033
Open Access | Times Cited: 1
Artificial intelligence-enhanced intraoperative neurosurgical workflow: current knowledge and future perspectives
Leonardo Tariciotti, Paolo Palmisciano, Martina Giordano, et al.
Journal of Neurosurgical Sciences (2021) Vol. 66, Iss. 2
Closed Access | Times Cited: 9
Beyond Glioma: The Utility of Radiomic Analysis for Non-Glial Intracranial Tumors
Darius Kalasauskas, Michael Kosterhon, Naureen Keric, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 836-836
Open Access | Times Cited: 6
Ultrasound Elastography in Neurosurgery: Current Applications and Future Perspectives
Abdulrahman Albakr, David Ben‐Israel, Runze Yang, et al.
World Neurosurgery (2022) Vol. 170, pp. 195-205.e1
Closed Access | Times Cited: 5
Preoperative surgical risk assessment of meningiomas: a narrative review based on MRI radiomics
Xianwang Liu, Yuzhu Wang, Tao Han, et al.
Neurosurgical Review (2022) Vol. 46, Iss. 1
Closed Access | Times Cited: 4
Preoperative Magnetic Resonance Elastography (MRE) of Skull Base Tumours: A Review
Ahmed Nabil Abdelhamid Ahmed
Indian Journal of Otolaryngology and Head & Neck Surgery (2023) Vol. 75, Iss. 4, pp. 4173-4178
Closed Access | Times Cited: 2
Preoperative Prediction of Meningioma Subtype by Constructing a Clinical-Radiomics Model Nomogram Based on Magnetic Resonance Imaging
Tao Han, Xianwang Liu, Zhendong Xu, et al.
World Neurosurgery (2023) Vol. 181, pp. e203-e213
Closed Access | Times Cited: 2
Parasagittal Meningiomas: Prognostic Factors for Recurrence
Ápio Cláudio Martins Antunes, Rafael Winter
Advances and technical standards in neurosurgery (2023), pp. 277-289
Closed Access | Times Cited: 1
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