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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:

DAUnet: A U-shaped network combining deep supervision and attention for brain tumor segmentation
Feng Yan, Yuan Cao, Dianlong An, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111348-111348
Closed Access | Times Cited: 22

Showing 22 citing articles:

TransSea: Hybrid CNN-Transformer with Semantic Awareness for 3D Brain Tumor Segmentation
Yü Liu, Yize Ma, Zhiqin Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 16-31
Closed Access | Times Cited: 8
Modified U-Net with attention gate for enhanced automated brain tumor segmentation
Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 333-351
Closed Access | Times Cited: 5
Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning
Asadullah Shaikh, Samina Amin, Muhammad Ali Zeb, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109703-109703
Closed Access
Dual-method for semantic and instance brain tumor segmentation based on UNet and mask R-CNN using MRI
Javaria Amin, Nadia Gul, Muhammad Irfan Sharif
Neural Computing and Applications (2025)
Closed Access
Learning few-shot semantic segmentation with error-filtered segment anything model
Chen-Bin Feng, Qi Lai, Kangdao Liu, et al.
The Visual Computer (2025)
Closed Access
Brain tumor image segmentation based on shuffle transformer-dynamic convolution and inception dilated convolution
Lifang Zhou, Ya Wang
Computer Vision and Image Understanding (2025), pp. 104324-104324
Closed Access
Brain tumor segmentation with deep learning: Current approaches and future perspectives
Akash Verma, Arun Kumar Yadav
Journal of Neuroscience Methods (2025), pp. 110424-110424
Closed Access
MEASegNet: 3D U-Net with Multiple Efficient Attention for Segmentation of Brain Tumor Images
Ruihao Zhang, Yang Peng, Can Hu, et al.
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3791-3791
Open Access
Boundary-aware and cross-modal fusion network for enhanced multi-modal brain tumor segmentation
Tongxue Zhou
Pattern Recognition (2025), pp. 111637-111637
Closed Access
The Evolution of Industrial Automation and Cybersecurity Risks
Sher Taj, Hajan Dahri, Tahseen Ullah, et al.
Advances in computational intelligence and robotics book series (2025), pp. 397-430
Closed Access
Estimation of Fractal Dimension and Segmentation of Brain Tumor with Parallel Features Aggregation Network
Haseeb Sultan, Nadeem Ullah, Jin Seong Hong, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 6, pp. 357-357
Open Access | Times Cited: 3
Dynamic weighted knowledge distillation for brain tumor segmentation
Dianlong An, Panpan Liu, Feng Yan, et al.
Pattern Recognition (2024) Vol. 155, pp. 110731-110731
Closed Access | Times Cited: 3
Improving image-based weld defects detection under interference information via a novel semantic supervision strategy
Biao Yang, Wei Wang, Guoqing Chen, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-17
Closed Access | Times Cited: 3
Segmentation of MR images for brain tumor detection using autoencoder neural network
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
MRS‐Net: Brain tumour segmentation network based on feature fusion and attention mechanism
Xiaoyan Shen, Ju Wang, Yuhua Zhao, et al.
IET Image Processing (2024)
Open Access | Times Cited: 1
ERU-Net: A novel effective 2D residual neural network for brain tumors semantic segmentation from multimodal MRI
Yahya M.A. Mohammed, Ismail Jellouli, Said El Garouani
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107235-107235
Closed Access | Times Cited: 1
Smooth and Clear: Auxiliary Domain and Inter-Class Contrast Adaptation for Semantic Foggy Scene Segmentation
yeseong cho, Mujin Kim, Donghee Han, et al.
(2024)
Closed Access
Inception residual network for brain tumor segmentation
Jihen Fourati, Mohamed Othmani, Khawla Ben Salah, et al.
(2024), pp. 33-40
Closed Access
Segmentation of MR Images for Brain Tumor Detection Using Autoencoder Neural Network
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Research Square (Research Square) (2024)
Closed Access
Causal Intervention for Brain Tumor Segmentation
Hengxin Liu, Qiang Li, Weizhi Nie, et al.
Lecture notes in computer science (2024), pp. 160-170
Closed Access
TSPCS-net: Two-stage pavement crack segmentation network based on encoder-decoder architecture
Biao Yue, Jianwu Dang, Qi Sun, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109840-109840
Closed Access
Trans-SAM: Transfer Segment Anything Model to medical image segmentation with Parameter-Efficient Fine-Tuning
Yanlin Wu, Zhihong Wang, Xiongfeng Yang, et al.
Knowledge-Based Systems (2024), pp. 112909-112909
Closed Access
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