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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:

Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI
Chunfeng Lian, Mingxia Liu, Li Wang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 8, pp. 4056-4068
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Multi-task deep learning for medical image computing and analysis: A review
Yan Zhao, Xiuying Wang, Tongtong Che, et al.
Computers in Biology and Medicine (2022) Vol. 153, pp. 106496-106496
Closed Access | Times Cited: 77
Transformed domain convolutional neural network for Alzheimer's disease diagnosis using structural MRI
S. Qasim Abbas, Lianhua Chi, Yi‐Ping Phoebe Chen
Pattern Recognition (2022) Vol. 133, pp. 109031-109031
Closed Access | Times Cited: 55
Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
Mariana Bento, Irene Fantini, Justin Park, et al.
Frontiers in Neuroinformatics (2022) Vol. 15
Open Access | Times Cited: 38
Spatial–Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 10591-10605
Closed Access | Times Cited: 34
Understanding machine learning applications in dementia research and clinical practice: a review for biomedical scientists and clinicians
Yihan Wang, Shu Liu, Alanna G. Spiteri, et al.
Alzheimer s Research & Therapy (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 8
Alzheimer's Disease Diagnosis With Brain Structural MRI Using Multiview-Slice Attention and 3D Convolution Neural Network
Lin Chen, Hezhe Qiao, Fan Zhu
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 35
Prediction of conversion to dementia using interpretable machine learning in patients with amnestic mild cognitive impairment
Min Young Chun, Chae Jung Park, Jonghyuk Kim, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 28
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
Kun Zhao, Pindong Chen, Aaron Alexander‐Bloch, et al.
EClinicalMedicine (2023) Vol. 65, pp. 102276-102276
Open Access | Times Cited: 17
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection
Baiying Lei, liang yu, Jiayi Xie, et al.
Pattern Recognition (2024) Vol. 153, pp. 110423-110423
Closed Access | Times Cited: 7
VSNet: Vessel Structure-aware Network for hepatic and portal vein segmentation
Jichen Xu, Anqi Dong, Yang Yang, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103458-103458
Closed Access
Hybrid multi-modality multi-task learning for forecasting progression trajectories in subjective cognitive decline
Minhui Yu, Yuqi Fang, Yunbi Liu, et al.
Neural Networks (2025) Vol. 186, pp. 107263-107263
Closed Access
Development and validation of a deep learning model based on cascade mask regional convolutional neural network to noninvasively and accurately identify human round spermatids
Yujiao Sun, Shihao Shao, Jing Huang, et al.
Journal of Advanced Research (2025)
Open Access
Wave-based cross-phase representation for weakly supervised classification
Heng Zhou, Ping Zhong
Image and Vision Computing (2025), pp. 105527-105527
Closed Access
THAN: task-driven hierarchical attention network for the diagnosis of mild cognitive impairment and Alzheimer’s disease
Zhehao Zhang, Linlin Gao, Guang Jin, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 7, pp. 3338-3354
Open Access | Times Cited: 24
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI
Rui Liu, Zhi-An Huang, Yao Hu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 7627-7641
Closed Access | Times Cited: 17
Deciphering multiple sclerosis disability with deep learning attention maps on clinical MRI
Llucia Coll, Deborah Pareto, Pere Carbonell‐Mirabent, et al.
NeuroImage Clinical (2023) Vol. 38, pp. 103376-103376
Open Access | Times Cited: 10
MPS-FFA: A multiplane and multiscale feature fusion attention network for Alzheimer’s disease prediction with structural MRI
Fei Liu, Huabin Wang, Shiuan-Ni Liang, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106790-106790
Open Access | Times Cited: 10
Neuroimaging mechanisms of acupuncture on functional reorganization for post-stroke motor improvement: a machine learning-based functional magnetic resonance imaging study
Mengxin Lu, Zhongming Du, Jiping Zhao, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 8
Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction
Jin Liu, Xu Tian, Hanhe Lin, et al.
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 828-842
Open Access | Times Cited: 2
Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip
Xindi Hu, Limin Wang, Xin Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 345-358
Open Access | Times Cited: 16
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework
Yan Zhao, Baoqiang Ma, Tongtong Che, et al.
Journal of Biomedical Informatics (2021) Vol. 125, pp. 103978-103978
Open Access | Times Cited: 16
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI
Zhi-An Huang, Rui Liu, Zexuan Zhu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8161-8175
Closed Access | Times Cited: 12
Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension
Xian Sun, Fanglong Yao, Chibiao Ding
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 9, pp. 12142-12156
Closed Access | Times Cited: 6
Community Graph Convolution Neural Network for Alzheimer’s Disease Classification and Pathogenetic Factors Identification
Xia-an Bi, Ke Chen, Siyu Jiang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 36, Iss. 2, pp. 1959-1973
Closed Access | Times Cited: 6
A Causality-Aware Graph Convolutional Network Framework for Rigidity Assessment in Parkinsonians
Xinlu Tang, Chencheng Zhang, Rui Guo, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 229-240
Closed Access | Times Cited: 5
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