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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 MRI radiomics and machine learning: systematic review, quality score assessment, and meta-analysis
Lorenzo Ugga, Teresa Perillo, Renato Cuocolo, et al.
Neuroradiology (2021) Vol. 63, Iss. 8, pp. 1293-1304
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative
Gaia Spadarella, Arnaldo Stanzione, Tugba Akinci D’Antonoli, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1884-1894
Open Access | Times Cited: 81
Reproducibility of radiomics quality score: an intra- and inter-rater reliability study
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Federica Vernuccio, et al.
European Radiology (2023) Vol. 34, Iss. 4, pp. 2791-2804
Open Access | Times Cited: 28
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment
Andrea Ponsiglione, Arnaldo Stanzione, Renato Cuocolo, et al.
European Radiology (2021) Vol. 32, Iss. 4, pp. 2629-2638
Closed Access | Times Cited: 45
Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review
Alfonso Reginelli, Valerio Nardone, Giuliana Giacobbe, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1796-1796
Open Access | Times Cited: 41
A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma
Liping Yang, Panpan Xu, Ying Zhang, et al.
Neuroradiology (2022) Vol. 64, Iss. 7, pp. 1373-1382
Closed Access | Times Cited: 33
MRI Radiomics and Predictive Models in Assessing Ischemic Stroke Outcome—A Systematic Review
Hanna-Maria Dragoș, Adina Stan, Roxana Pintican, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 857-857
Open Access | Times Cited: 19
An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation
Jingyu Zhong, Junjie Lu, Guangcheng Zhang, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
NEgatiVE results in Radiomics research (NEVER): A meta-research study of publication bias in leading radiology journals
Burak Koçak, Elif Bulut, Osman Nuri Bayrak, et al.
European Journal of Radiology (2023) Vol. 163, pp. 110830-110830
Open Access | Times Cited: 16
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
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review
Leon Jekel, Waverly Rose Brim, Marc von Reppert, et al.
Cancers (2022) Vol. 14, Iss. 6, pp. 1369-1369
Open Access | Times Cited: 26
A meta-analysis of MRI-based radiomic features for predicting lymph node metastasis in patients with cervical cancer
Longchao Li, Jing Zhang, Xia Zhe, et al.
European Journal of Radiology (2022) Vol. 151, pp. 110243-110243
Open Access | Times Cited: 26
Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning
Ho Kang, Joseph Nathanael Witanto, Kevin Pratama, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 3, pp. 871-881
Closed Access | Times Cited: 24
Systematic review with radiomics quality score of cholangiocarcinoma: an EuSoMII Radiomics Auditing Group Initiative
Roberto Cannella, Federica Vernuccio, Michail E. Klontzas, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification
Saeed Iqbal, Adnan N. Qureshi, Musaed Alhussein, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access | Times Cited: 5
Artificial intelligence in radiology
Guillermo Elizondo‐Riojas, Adrián A. Negreros-Osuna, J. Mario Bernal-Ramirez, et al.
Journal of the Mexican Federation of Radiology and Imaging (2024) Vol. 3, Iss. 2
Open Access | Times Cited: 5
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
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: 19
Deep learning–based automatic segmentation of meningioma from T1-weighted contrast-enhanced MRI for preoperative meningioma differentiation using radiomic features
Liping Yang, Tianzuo Wang, Jinling Zhang, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction
Thomas Küstner, Chen Qin, Changyu Sun, et al.
Magnetic Resonance Materials in Physics Biology and Medicine (2024) Vol. 37, Iss. 3, pp. 329-333
Open Access | Times Cited: 4
Change in How We See Things: The Meningioma Story
Douglas Kondziolka
Neurosurgery (2025) Vol. 96, Iss. 3, pp. 479-480
Closed Access
Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML)
Rima Hajjo, Dima A. Sabbah, Sanaa K. Bardaweel, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 742-742
Open Access | Times Cited: 25
Radiomics in Cardiovascular Disease Imaging: from Pixels to the Heart of the Problem
Gaia Spadarella, Teresa Perillo, Lorenzo Ugga, et al.
Current Cardiovascular Imaging Reports (2022) Vol. 15, Iss. 2, pp. 11-21
Open Access | Times Cited: 18
Radiomics in Cross-Sectional Adrenal Imaging: A Systematic Review and Quality Assessment Study
Arnaldo Stanzione, Roberta Galatola, Renato Cuocolo, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 578-578
Open Access | Times Cited: 18
The Role of Radiomics in Salivary Gland Imaging: A Systematic Review and Radiomics Quality Assessment
Giacomo Aringhieri, Salvatore Claudio Fanni, Maria Febi, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3002-3002
Open Access | Times Cited: 18
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