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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:

A Fully Automated Post-Surgical Brain Tumor Segmentation Model for Radiation Treatment Planning and Longitudinal Tracking
Karthik K. Ramesh, Karen Xu, Anuradha G. Trivedi, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3956-3956
Open Access | Times Cited: 9

Showing 9 citing articles:

Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 135
A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy
Lele Zang, Jing Liu, Huiqi Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Post-Operative Brain MRI Resection Cavity Segmentation Model and Follow-Up Treatment Assistance
Sobha Xavier P, P. K. Sathish, G. Raju
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 05, pp. 133-149
Open Access | Times Cited: 2
Integrating a deep neural network and Transformer architecture for the automatic segmentation and survival prediction in cervical cancer
Shitao Zhu, Ling Lin, Qin Liu, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 8, pp. 5408-5419
Open Access | Times Cited: 2
The effect of editing clinical contours on deep-learning segmentation accuracy of the gross tumor volume in glioblastoma
Kim Hochreuter, Jintao Ren, Jasper Nijkamp, et al.
Physics and Imaging in Radiation Oncology (2024) Vol. 31, pp. 100620-100620
Open Access | Times Cited: 1
Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting
Jacob Ellison, Francesco Calivá, Pablo F. Damasceno, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 497-497
Open Access
Longitudinal Image Data for Outcome Modeling
Janita E. van Timmeren, Johan Bussink, Peter J. Koopmans, et al.
Clinical Oncology (2024)
Open Access
A review on the applications of artificial intelligence and big data for glioblastoma multiforme management
Mahdi Mehmandoost, Fatemeh Torabi Konjin, Elnaz Amanzadeh Jajin, et al.
The Egyptian Journal of Neurosurgery : the official publication of the Egyptian Society of Neurological Surgeons/Egyptian journal of neurosurgery (2024) Vol. 39, Iss. 1
Open Access
Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring
P.J. Sørensen, Claes Nøhr Ladefoged, Vibeke Andrée Larsen, et al.
Tomography (2024) Vol. 10, Iss. 9, pp. 1397-1410
Open Access
Deep Learning-Based Postoperative Glioblastoma Segmentation and Extent of Resection Evaluation: Development, External Validation, and Model Comparison
Santiago Cepeda, Roberto Romero-Oraá, Lidia Luque, et al.
Neuro-Oncology Advances (2024) Vol. 6, Iss. 1
Open Access
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