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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:

Challenges in Glioblastoma Radiomics and the Path to Clinical Implementation
Philip Martin, Lois Holloway, Peter Metcalfe, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3897-3897
Open Access | Times Cited: 12

Showing 12 citing articles:

One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging
Costin Chirica, Danisia Haba, Elena Cojocaru, et al.
Life (2023) Vol. 13, Iss. 7, pp. 1561-1561
Open Access | Times Cited: 7
-New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates
Gagandeep Singh, Annie Singh, Joseph Bae, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Deciphering glioblastoma: Unveiling imaging markers for predicting MGMT promoter methylation status
Eric Hexem, Taha A. Taha, Yaseen Dhemesh, et al.
Current Problems in Cancer (2024) Vol. 54, pp. 101156-101156
Closed Access | Times Cited: 2
Differentiating Gliosarcoma from Glioblastoma: A Novel Approach Using PEACE and XGBoost to Deal with Datasets with Ultra-High Dimensional Confounders
Amir Saki, Usef Faghihi, Ismaïla Baldé
Life (2024) Vol. 14, Iss. 7, pp. 882-882
Open Access | Times Cited: 1
Prediction of early recurrence of adult‐type diffuse gliomas following radiotherapy using multi‐modal magnetic resonance images
Elahheh Salari, Xuxin Chen, Jacob Wynne, et al.
Medical Physics (2024)
Open Access | Times Cited: 1
Hydrogel Applications in the Diagnosis and Treatment of Glioblastoma
S.H. Zhang, Renming Zhong, Muhammad Rizwan Younis, et al.
ACS Applied Materials & Interfaces (2024)
Closed Access | Times Cited: 1
Identification of Radiomic Signatures in Brain MRI Sequences T1 and T2 That Differentiate Tumor Regions of Midline Gliomas with H3.3K27M Mutation
Maria-Fatima Chilaca-Rosas, Manuel-Tadeo Contreras-Aguilar, Melissa Garcia-Lezama, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2669-2669
Open Access | Times Cited: 4
Evaluating Maximum Diameters of Tumor Sub-regions for Survival Prediction in Glioblastoma Patients via Machine Learning, Considering Resection Status
Reza Babaei, Armin Bonakdar, Nastaran Shakourifar, et al.
Journal of Electronic & Information Systems (2024) Vol. 6, Iss. 1, pp. 22-38
Open Access
Combined use of radiomics and artificial neural networks for the three‐dimensional automatic segmentation of glioblastoma multiforme
Alexander Mulet de los Reyes, Victoria Hyde Lord, María Elena Buemi, et al.
Expert Systems (2024)
Open Access
Radiogenomics as an Integrated Approach to Glioblastoma Precision Medicine
Isabella Sanchez, Ruman Rahman
Current Oncology Reports (2024) Vol. 26, Iss. 10, pp. 1213-1222
Open Access
The Assessment of Glioblastoma Metabolic Activity via 11C-Methionine PET and Radiomics
Gleb Danilov, Д. Б. Калаева, Н. Б. Вихрова, et al.
Studies in health technology and informatics (2023)
Open Access | Times Cited: 1
Radiomics unleashed: the power of DCE+DWI MRI models in predicting breast cancer recurrence and metastasis
Haotian Wang, Tao Yu, Ning Deng, et al.
Research Square (Research Square) (2023)
Open Access
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