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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:

Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds
Xiang Li, Minglei Li, Pengfei Yan, et al.
International Journal of Network Dynamics and Intelligence (2023), pp. 93-116
Open Access | Times Cited: 128

Showing 26-50 of 128 citing articles:

Artificial intelligence in ischemic stroke images: current applications and future directions
Ying Liu, Zhongjian Wen, Yiren Wang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 5
MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation
Chukwuebuka Joseph Ejiyi, Zhen Qin, Makuachukwu Bennedith Ejiyi, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108847-108847
Closed Access | Times Cited: 5
A Review on Transferability Estimation in Deep Transfer Learning
Yihao Xue, Rui Yang, Xiaohan Chen, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 12, pp. 5894-5914
Closed Access | Times Cited: 5
The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning
Chuan Mou
IEEE Access (2024) Vol. 12, pp. 4948-4957
Open Access | Times Cited: 4
Data privacy protection health status assessment for rotating machinery with dual-task feature fusion framework
Xin He, Wei Zhou, Zhen Luo, et al.
Neurocomputing (2024) Vol. 582, pp. 127464-127464
Closed Access | Times Cited: 4
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets Using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
Journal of Imaging (2024) Vol. 10, Iss. 9, pp. 232-232
Open Access | Times Cited: 4
Advances in attention mechanisms for medical image segmentation
Jianpeng Zhang, Xiaomin Chen, Bing Yang, et al.
Computer Science Review (2025) Vol. 56, pp. 100721-100721
Closed Access
Multi-Modality Fusion and Tumor Sub-Component Relationship Ensemble Network for Brain Tumor Segmentation
Jinyan Zhou, Shuwen Wang, Hao Wang, et al.
Bioengineering (2025) Vol. 12, Iss. 2, pp. 159-159
Open Access
A Multimodal Deep Learning Model for Detecting Endoscopic Images of Near-Infrared Fluorescence Capsules
Junhao Wang, Chen Zhou, Wei Wang, et al.
Biosensors and Bioelectronics (2025) Vol. 278, pp. 117251-117251
Closed Access
Hybrid-RViT: Hybridizing ResNet-50 and Vision Transformer for Enhanced Alzheimer’s disease detection
Hongjie Yan, Vivens Mubonanyikuzo, Temitope Emmanuel Komolafe, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318998-e0318998
Open Access
A temporal fusion and attention-based network for detecting stenosis in X-ray coronary angiography
Meidi Chen, Siyin Wang, Ke Liang, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 122, pp. 102513-102513
Closed Access
Vista: Vision-Text Alignment Model with Contrastive Learning Using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis
Duy-Cat Can, Linh D. Dang, Quang-Huy Tang, et al.
(2025)
Closed Access
A systematic literature review on incomplete multimodal learning: techniques and challenges
Yifan Zhan, Rui Yang, Jong-Bum You, et al.
Systems Science & Control Engineering (2025) Vol. 13, Iss. 1
Open Access
A Novel U-Shaped Hybrid Segmentation Approach to Imbalanced Medical Image Using Receptive Field Enhancement and Adaptive Weighted Loss Function
Mahdi Zarrin, Haniyeh Nikkhah, Mohammad Nourian
(2025)
Closed Access
Source Code Vulnerability Detection Based on Joint Graph and Multimodal Feature Fusion
Dun Jin, Chengwan He, Quan Zou, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 975-975
Open Access
Classification of Mycena and Marasmius Species Using Deep Learning Models: An Ecological and Taxonomic Approach
Fatih Ekinci, Guney Ugurlu, Giray Sercan Özcan, et al.
Sensors (2025) Vol. 25, Iss. 6, pp. 1642-1642
Open Access
Enhanced lung cancer subtype classification using attention-integrated DeepCNN and radiomic features from CT images: a focus on feature reproducibility
Muna Alsallal, Hanan Hassan Ahmed, Radhwan Abdul Kareem, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Advancements in Diabetic Retinopathy Detection Using Deep Learning
Sonia Sarmah, Manasi Hazarika, Pranab K. Das, et al.
Studies in computational intelligence (2025), pp. 91-117
Closed Access
The optimization study of user and renewable energy integration scheme in medium and low-voltage distribution networks based on deep learning
Y. P. Lu, Weilin Liu, Tianlin Wang, et al.
International Journal of Low-Carbon Technologies (2025) Vol. 20, pp. 1092-1103
Open Access
Multi-type social patterns-based graph learning
Shuo Yu, Zhuoyang Han, Feng Ding, et al.
Neurocomputing (2025), pp. 130039-130039
Closed Access
Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis
Nazmul Ahasan Maruf, Abdullah Basuhail
Frontiers in Computer Science (2025) Vol. 7
Open Access
Attention-Based Multi-Modal Learning for Aircraft Engine Fan Fault Diagnosis
Jingjing Zhu, Shaosen Liang, Zhaokai Ma, et al.
Aerospace Science and Technology (2025), pp. 110194-110194
Closed Access
Deep learning-driven medical image analysis for computational material science applications
Lu Li, Mingpei Liang
Frontiers in Materials (2025) Vol. 12
Open Access
EPDTNet + -EM: Advanced Transfer Learning and SubNet Architecture for Medical Image Diagnosis
K. Dhivya, K Sangamithrai, Indra Priyadharshini S, et al.
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
Optimizing Tomato Leaf Disease Identification Using a Hybrid Spatial-Temporal Model and Attention Mechanism
Sajeev Ram Arumugam, P. Sheela Gowr, E. Anna Devi, et al.
Communications in computer and information science (2025), pp. 99-110
Closed Access

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