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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:

Advantages of transformer and its application for medical image segmentation: a survey
Qiumei Pu, Zuoxin Xi, Shuai Yin, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 19

Showing 19 citing articles:

Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues
Muhammad Ali, Viviana Benfante, Ghazal Basirinia, et al.
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 59-59
Open Access | Times Cited: 1
Exploring the frontier: Transformer-based models in EEG signal analysis for brain-computer interfaces
Maximilian Achim Pfeffer, Sai Ho Ling, Johnny Kwok Wai Wong
Computers in Biology and Medicine (2024) Vol. 178, pp. 108705-108705
Open Access | Times Cited: 9
HViTML: Hybrid vision transformer with machine learning-based classification model for glaucomatous eye
Piyush Bhushan Singh, Pawan Singh, Harsh Dev, et al.
Multimedia Tools and Applications (2025)
Closed Access
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
Yousry AbdulAzeem, Hossam Magdy Balaha, Hanaa ZainEldin, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107620-107620
Closed Access
Cone-Beam CT Segmentation for Intraoperative Electron Radiotherapy Based on U-Net Variants with Transformer and Extended LSTM Approaches
Sara Vockner, Matthias Mattke, Ivan Messner, et al.
Cancers (2025) Vol. 17, Iss. 3, pp. 485-485
Open Access
Classification of Saudi Coffee beans using a mobile application leveraging squeeze vision transformer technology
Haifa F. Alhasson, Shuaa S. Alharbi
Neural Computing and Applications (2025)
Closed Access
Landscape of 2D Deep Learning Segmentation Networks Applied to CT Scan from Lung Cancer Patients: A Systematic Review
Somayeh Sadat Mehrnia, Zhino Safahi, Amin Mousavi, et al.
Deleted Journal (2025)
Closed Access
OcuViT: Automated Detection of Diabetic Retinopathy and AMD Using a Hybrid Vision Transformer Approach
Faisal Ahmed
(2025)
Closed Access
MTMU: Multi-domain Transformation based Mamba-UNet designed for unruptured intracranial aneurysm segmentation
Bing Li, Nian Liu, Jianbin Bai, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Next-Gen Medical Imaging: U-Net Evolution and the Rise of Transformers
C. H. Zhang, X. D. Deng, Sai Ho Ling
Sensors (2024) Vol. 24, Iss. 14, pp. 4668-4668
Open Access | Times Cited: 2
Comparative Study of Deep Learning Models in Melanoma Detection
Farnaz Haghshenas, Adam Krzyżak, S. Osowski
Lecture notes in computer science (2024), pp. 121-131
Closed Access | Times Cited: 1
Research progress of artificial intelligence in medical imaging field
Kaiyan Wang
Advances in Engineering Technology Research (2024) Vol. 10, Iss. 1, pp. 643-643
Open 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
Transformer-Based Joint Classification Network for Diabetic Retinopathy and Diabetic Macular Edema
Z. Li, Wang Ye, Lin Wang
(2024), pp. 488-492
Closed Access
Leveraging Pretrained Transformers for Efficient Segmentation and Lesion Detection in Cone-Beam Computed Tomography Scans
Rui Qi Chen, Yeon‐Ju Lee, Hao Yan, et al.
Journal of Endodontics (2024) Vol. 50, Iss. 10, pp. 1505-1514.e1
Closed Access
Exploring Domain Generalization in Semantic Segmentation for Digital Histopathology: A Comparative Evaluation of Deep Learning Models
Ruochen Liu, Hongyan Xiao, Y.C. Wang, et al.
(2024), pp. 110-116
Closed Access
Automated Vertebral Bone Quality Determination from T1-Weighted Lumbar Spine MRI Data Using a Hybrid Convolutional Neural Network–Transformer Neural Network
Kristian Stojšić, Dina Miletić Rigo, Slaven Jurković
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10343-10343
Open Access
Vision transformers for cotton boll segmentation: Hyperparameters optimization and comparison with convolutional neural networks
Naseeb Singh, V.K. Tewari, Prabir Kumar Biswas
Industrial Crops and Products (2024) Vol. 223, pp. 120241-120241
Open Access
Efficient UNet fusion of convolutional neural networks and state space models for medical image segmentation
Wenjie Meng, Aiming Mu, Huajun Wang
Digital Signal Processing (2024) Vol. 158, pp. 104937-104937
Closed Access
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