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:

Deep Learning Model for Intracranial Hemangiopericytoma and Meningioma Classification
Ziyan Chen, Ningrong Ye, Nian Jiang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14

Showing 14 citing articles:

A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor
Mohamed T. Azam, Hossam Magdy Balaha, Akshitkumar M. Mistry, et al.
Journal of Pathology Informatics (2025) Vol. 17, pp. 100422-100422
Open Access

Solitary Fibrous Tumor of the Central Nervous System: A Report of Two Cases with Emphasis on Diagnostic Pitfalls
Absalom Mwazha, Nondabula Moyeni, Zuzile Zikalala, et al.
Case Reports in Pathology (2024) Vol. 2024, pp. 1-8
Open Access | Times Cited: 2

Solitary fibrous tumor of the central nervous system invading and penetrating the skull: A case report
Qiyan Lin, Jiabin Zhu, Xiaofeng Zhang
Oncology Letters (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 5

A Novel Vit-Based Multi-Scaled and Rotation-Invariance Approach for Precise Differentiation Between Meningioma and Solitary Fibrous Tumor
Mohamed T. Azam, Hossam Magdy Balaha, Khadiga M. Ali, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1

Cystic intracranial solitary fibrous tumor: a case report
Yongzhe Li, Dongxue Li, Li Yang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access

Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning
Qize Lv, Ke Liang, Chongxuan Tian, et al.
Journal of Biophotonics (2024) Vol. 17, Iss. 11
Open Access

Histopathological Diagnosis of Meningioma and Solitary Fibrous Tumors Based on a Multi-scale Fusion Approach Utilizing Vision Transformer and Texture Analysis
Mohamed T. Azam, Hossam Magdy Balaha, Dibson Gondim, et al.
Lecture notes in computer science (2024), pp. 31-45
Closed Access

Radiomics and machine learning for predicting the consistency of benign tumors of the central nervous system: A systematic review
Carole Koechli, Daniel R. Zwahlen, Philippe Schucht, et al.
European Journal of Radiology (2023) Vol. 164, pp. 110866-110866
Closed Access | Times Cited: 1

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