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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:

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification
Xiao Liu, Chong Yao, Hongyi Chen, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102307-102307
Closed Access | Times Cited: 12

Showing 12 citing articles:

A review on brain tumor segmentation based on deep learning methods with federated learning techniques
Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102313-102313
Open Access | Times Cited: 42
Dense convolution-based attention network for Alzheimer’s disease classification
Y.S. Gan, Quan Lan, Chao Huang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advancements in medical image segmentation: A review of transformer models
S. S. Kumar
Computers & Electrical Engineering (2025) Vol. 123, pp. 110099-110099
Closed Access
Transformer’s Role in Brain MRI: A Scoping Review
Mansoor Hayat, Supavadee Aramvith
IEEE Access (2024) Vol. 12, pp. 108876-108896
Open Access | Times Cited: 3
A review of AutoML optimization techniques for medical image applications
Muhammad Junaid Ali, Mokhtar Essaid, Laurent Moalic, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102441-102441
Closed Access | Times Cited: 1
Brain tumor segmentation and classification using transfer learning based CNN model with model agnostic concept interpretation
A. Maria Nancy, R. Maheswari
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
基于多模态特征重组和尺度交叉注意力机制的全自动脑肿瘤分割算法
田恒屹 Tian Hengyi, 王瑜 Wang Yu, 肖洪兵 Xiao Hongbing
Chinese Journal of Lasers (2024) Vol. 51, Iss. 21, pp. 2107110-2107110
Closed Access | Times Cited: 1
An explainable Liquid Neural Network combined with path aggregation residual network for an accurate brain tumor diagnosis
S. Berlin Shaheema, K. Suganya Devi, Naresh Babu Muppalaneni
Computers & Electrical Engineering (2024) Vol. 122, pp. 109999-109999
Closed Access | Times Cited: 1
Assessment of MGMT promoter methylation status in glioblastoma using deep learning features from multi-sequence MRI of intratumoral and peritumoral regions
Xuan Yu, Jing Zhou, Yaping Wu, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Neural architecture search for medicine: A survey
Sinee Chaiyarin, Napassorn Rojbundit, Panichanok Piyabenjarad, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101565-101565
Open Access
Research on Brain Tumor MRI Image Segmentation Algorithm based on Lightweight Convolutional Polynomial Neural Network
Xueshuang Fan, Mary Jane C. Samonte, Xiaofeng Wang
(2024), pp. 182-193
Closed Access
Evolutionary neural architecture search for automated MDD diagnosis using multimodal MRI imaging
Tongtong Li, Ning Hou, Jiandong Yu, et al.
iScience (2024) Vol. 27, Iss. 10, pp. 111020-111020
Open Access
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