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 survey on brain tumor image analysis
Kashfia Sailunaz, Sleiman Alhajj, Tansel Özyer, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 1, pp. 1-45
Closed Access | Times Cited: 13

Showing 13 citing articles:

Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices
Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 62-62
Open Access | Times Cited: 2

ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images
Md. Alamin Talukder, Md. Abu Layek, Md Aslam Hossain, et al.
Digital Health (2025) Vol. 11
Open Access | Times Cited: 2

Deep Learning for Discrimination of Early Spinal Tuberculosis from Acute Osteoporotic Vertebral Fracture on CT
Wenjun Liu, Jin Wang, Yiting Lei, et al.
Infection and Drug Resistance (2025) Vol. Volume 18, pp. 31-42
Open Access

CFNet: Cross-scale fusion network for medical image segmentation
Amina Benabid, Jing Yuan, Mohammed A. M. Elhassan, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 7, pp. 102123-102123
Open Access | Times Cited: 3

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction
Daniel D Kim, Rajat Chandra, Li Yang, et al.
Deleted Journal (2024) Vol. 37, Iss. 5, pp. 2099-2107
Open Access | Times Cited: 2

HRGUNet: A novel high-resolution generative adversarial network combined with an improved UNet method for brain tumor segmentation
Dongmei Zhou, Hao Luo, Xingyang Li, et al.
Journal of Visual Communication and Image Representation (2024), pp. 104345-104345
Closed Access | Times Cited: 2

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey
Muhammet Damar, Tuncay Küme, İbrahim Yüksel, et al.
Düzce Tıp Fakültesi Dergisi (2024) Vol. 26, Iss. 1, pp. 44-55
Open Access | Times Cited: 1

Multimodal Fusion for Enhanced Semantic Segmentation in Brain Tumor Imaging: Integrating Deep Learning and Guided Filtering Via Advanced 3D Semantic Segmentation Architectures
Abbadullah H. Saleh, Ümit Atila, Oğuzhan Menemencioğlu
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 5
Open Access | Times Cited: 1

Brain tumor diagnosis in MRI scans images using Residual/Shuffle Network optimized by augmented Falcon Finch optimization
Xiaohang Guo, Tianyi Liu, Qinglong Chi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Lightweight Brain Tumor Diagnosis via Knowledge Distillation
Rungpilin Anantathanavit, Farchan Hakim Raswa, Tipajin Thaipisutikul, et al.
(2024) Vol. 1, pp. 1-6
Closed Access

An efficient network with CNN and transformer blocks for glioma grading and brain tumor classification from MRIs
Evgin Göçeri
Expert Systems with Applications (2024), pp. 126290-126290
Closed Access

Review on Automated Brain Tumor Segmentation using Advanced Deep Learning Techniques: Enhancing Precision and Clinical Applicability
V Vishalakshi, T. Arunprasath, Pallikonda Rajasekaran M, et al.
(2024), pp. 1461-1468
Closed Access

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